This spring, MINGDE Optoelectronic welcome a stream of international and domestic visitors, all eager to explore our latest mining technology. The highlight for everyone was our smart AI-based mineral sorting equipment, known for its incredible speed and accuracy.  A notable day was May 11th, when we welcomed esteemed delegates from India representing major quartz mining operations，Led by Mr. Majji from Vita Mining, one of South India's premier quartz mines, they arrived with keen interest in our AI sorting capabilities, hoping to uncover new methods to enhance the efficiency and quality of their pegmatite processing. Our technical team gave them a thorough insight into how our AI sorter operates, its unique strengths, and shared real-life success stories. A live demonstration illustrated the machine adeptly handling pegmatite ores, utilizing sophisticated algorithms to segregate minerals with high precision, thereby boosting extraction yields and reducing environmental footprint. The Indian delegation was highly impressed with MINGDE's technological advancements and engaged in deep discussions on potential collaboration strategies. They envisioned our AI sorting technology sparking a transformation in India's quartz mining sector, fostering sustainable practices. Our Managing Director commented, "We feel privileged by the Indian delegation's visit and their positive feedback, validating our dedication to innovation and customer-focused strategies. We remain committed to pushing the boundaries of mining technology and supporting our partners through intelligent, eco-conscious solutions." These interactions reinforced MINGDE Optoelectronic's international relationships and paved the way for expanding our reach with our state-of-the-art sorting technology. With sights set on the horizon, MINGDE continues to champion innovation, guiding the mining industry towards a future marked by increased intelligence and efficiency.

What is feldspar？ Feldspar is the most important rock-forming mineral in surface rocks. It is also a common type of aluminum silicate rock-forming mineral containing calcium, sodium and potassium. There are many types of feldspar minerals, including potassium feldspar, albite, anorthite, etc. Rarer feldspars also include barium feldspar, amazonite, etc. According to different crystal structures and compositions, feldspar can also be subdivided into plagioclase, microcline, orthoclase, striated feldspar and other varieties. These feldspars vary in color, form and transparency. They may be colorless, white, yellow, pink, green, gray or black, and may be transparent or translucent. Furthermore, the basic structural unit of feldspar is a tetrahedron, each of which shares an oxygen atom with another tetrahedron, forming a three-dimensional skeleton, with alkali or alkaline earth metal cations located in the large voids within these skeletons.  What is feldspar used for? Feldspar is widely used in many fields due to its unique physical and chemical properties Architectural decoration field: Feldspar has high durability and aesthetics and can be used to decorate building exteriors and indoor walls. It is not only beautiful but also has a long service life. Glass industry: Albite in feldspar can be used as a raw material for glass fiber. It has chemical corrosion resistance and high temperature resistance, and can significantly improve the quality and performance of glass materials. In addition, feldspar can also be used as a processing and forming aid for glass to improve the speed and accuracy of glass forming. Ceramic industry: Feldspar is an important ceramic raw material and can be used to make ceramic products such as ceramic tiles, pottery, and porcelain. Feldspar has high high temperature resistance and strength, which can improve the toughness and hardness of ceramic products while improving their aesthetics. Chemical industry: Feldspar is rich in aluminum and silicon elements and can be used as raw materials for manufacturing paints, coatings, fertilizers, rubber and other chemical products. In addition, feldspar can also be used as a fire retardant, filler, synergist, etc. to improve the quality and grade of chemical products. How to use feldspar? Feldspar processing technology mainly involves mining, crushing, grinding, screening and other steps. First, raw feldspar is obtained through mining, and then crushed and ground to achieve the desired particle size and shape. Next, the feldspar is sorted by particle size through screening to meet the needs of different fields. During the processing, attention must also be paid to protecting the feldspar to avoid contamination or damage. How to sort feldspar? Feldspar sorting technology is a process of classifying and purifying feldspar in raw ore according to different quality, particle size and chemical composition. Through sorting, feldspar products that meet the requirements of specific application fields can be obtained, improving resource utilization and product added value. At the same time, sorting technology can also help reduce the difficulty and cost of subsequent processing and improve production efficiency. Main methods for traditional sorting of feldspar：Hand selection: Mainly suitable for better quality ores, such as feldspar mined from pegmatite. Workers manually sort according to differences in appearance, color, crystal shape, etc., and remove impurity minerals such as plagioclase, mica, and garnet. Water washing, desliming and grading: For the feldspar in white weathered granite or feldspathic placer, impurities such as clay and fine mud are removed through water washing and desliming. Grading divides feldspar into different grades of products based on differences in particle size. Advanced Technology for Feldspar Sorting： Machine vision technology: The machine vision system replaces the traditional human eye for color sorting to achieve the separation of feldspar from gangue minerals such as muscovite and quartz. This technology has higher accuracy and stability and is suitable for automated sorting of large-scale production lines. Magnetic separation technology: Separate by utilizing the magnetic differences between feldspar and impurities such as iron oxide, mica and garnet. Magnetic separation technology can effectively remove magnetic impurities in feldspar and improve the purity of the product. Flotation technology: Based on the difference in surface properties between feldspar and gangue minerals such as mica and quartz, separation is achieved using flotation machines, flotation columns and other equipment. By adjusting the type and dosage of chemicals during the flotation process, the flotation effect can be optimized and the quality of feldspar products can be improved. Our MINGDE AI sorting machine adopts advanced machine vision technology and uses artificial intelligence methods such as deep convolutional neural network (CNN).Analyze and process material images in the field of visible light optoelectronic sorting. During the training process, multi-dimensional features of materials are automatically extracted and established through CNN local connection, weight sharing, multi-convolution kernel and other methods to establish a database. The sorting effect is far better than traditional photoelectric sorting. In short, feldspar as an important mineral resource, has wide applications in many fields. With the advancement of science and technology and economic development, the application fields of feldspar will be further expanded and deepened. At the same time, we should also strengthen the protection and rational utilization of feldspar resources to achieve sustainable development.  

1. Which links in the mineral processing process are likely to affect efficiency? In the mineral processing technology, multiple links may affect the mineral processing efficiency, and the following links are more likely to have a significant impact on the mineral processing efficiency: (1) Pre-election preparation stage: Crushing and Screening: Ore crushing and screening are key steps before mineral processing, which directly affect the efficiency and effect of subsequent mineral processing. In the crushing operation, if the crusher is improperly selected or operated, it may lead to insufficient or excessive crushing of the ore, affecting the efficiency of subsequent grinding and mineral processing. Screening is used to classify the crushed ore according to particle size to provide suitable raw materials for the processing. Grinding and Classification: Grinding is the continuation of the ore crushing process, and its purpose is to separate various useful mineral particles in the ore into monomers for selection. The selection of grinding mills and the control of the grinding process are crucial to the efficiency of mineral processing. The classification operation affects the classification particle size and processing capacity by adjusting parameters such as the size of the classification area, the height of the overflow weir and the speed of the spiral, thereby affecting the efficiency of mineral processing. Selection stage: The properties of the ore, the selection of the beneficiation equipment and the selection of the beneficiation method will affect the efficiency of the beneficiation stage. For example, the particle size of the mineral has an important influence on the flotation efficiency. Too fine a particle size will deteriorate the flotation effect. The selection of the flotation machine speed will also affect the stirring intensity of the slurry and the flotation effect. Dehydration stage after selection: The concentrate obtained by wet beneficiation usually contains a lot of water. The efficiency of the dehydration stage directly affects the quality and output of the concentrate. The dehydration stage includes processes such as concentration, filtration and drying. The effects of these processes are affected by factors such as equipment performance, operation level and the properties of the original ore. Slurry concentration: Appropriate pulp concentration has an important impact on flotation efficiency. Within a certain range, increasing pulp concentration is conducive to the collision and contact between minerals and reagents, thereby improving flotation efficiency. However, excessive pulp concentration will increase reagent consumption, deteriorate aeration effect, and reduce flotation efficiency. Operation and management: The skill level and management level of operators also have an important impact on mineral processing efficiency. Modern and digital management methods can optimize the mineral processing process and improve production efficiency. At the same time, strengthening the management and awareness of mining companies and avoiding management and awareness deviations are also important measures to improve mineral processing efficiency. To sum up, many links in the mineral processing process may affect the efficiency, but factors such as the preparation stage before mineral processing, the separation stage, the dehydration stage after mineral processing, as well as slurry concentration and operation management have the most significant impact on mineral processing efficiency. By optimizing these links and factors, the mineral processing efficiency can be significantly improved, production costs can be reduced, and the sustainable development of the mine can be achieved. 2. In order to optimize the links that affect efficiency in the mineral processing process, we can consider and implement them from the following aspects: (1) Grinding and grading operations: Optimize grinding process parameters: According to the characteristics of the ore, study the grinding index and formulate appropriate grinding process parameters. For the ore dressing plant with "over-grinding" phenomenon, selective grinding technology can be considered. Use efficient grading equipment: Although spiral classifiers are commonly used, their grading efficiency is generally only 20% to 40%. Consider introducing efficient grading equipment such as hydrocyclones or high-frequency vibrating fine screens to improve grading efficiency. However, attention should be paid to the stability of hydrocyclones. (2) Selection of work: Select or improve mineral processing equipment: In flotation operations, the selection of flotation machines is crucial. According to the characteristics of the ore and the flotation process, select or design a suitable flotation machine. At the same time, pay attention to the development of flotation reagents and processes, and adopt the latest flotation technology and reagents. Optimize flotation conditions: According to the properties of the ore, adjust the parameters such as pulp concentration, stirring intensity, and aeration volume during the flotation process to obtain the best flotation effect. (3) Dehydration operation: Introduce advanced dehydration equipment: such as disc vacuum filter, which not only has large processing capacity and good dehydration effect, but also has low energy consumption. Optimize the dehydration process: By adjusting various links in the dehydration process, such as pre-dehydration, filter pressing, etc., the dehydration efficiency can be improved and the moisture content in the concentrate can be reduced. (4) Slurry concentration control: Real-time monitoring and adjustment: By real-time monitoring of pulp concentration, timely adjust the amount of water added during grinding and flotation to ensure that the pulp concentration is within the optimal range. Optimize the use of reagents: During the flotation process, adjust the amount and type of reagents according to the pulp concentration to obtain the best flotation effect. (5) Operation and management: Improve operator skills: Through training and skill improvement, ensure that operators have the necessary mineral processing knowledge and skills and can operate mineral processing equipment proficiently. Introduce a modern management system: Use a digital and automated management system to monitor all aspects of the mineral processing process in real time to improve production efficiency and product quality. Strictly follow the principles of comprehensiveness and pertinence to carry out equipment transformation to ensure that the transformation work can truly improve economic benefits and production efficiency. (6) Strengthen the management of mining companies: Correct the deviations in the management and cognition of mining companies, ensure that managers have geological knowledge and mineral processing experience, and avoid non-geological personnel from conducting mineral processing according to the management model of other industries. Establish a reasonable assessment mechanism, avoid taking economic benefits as the only criterion, and ensure that the basic status of geological exploration work is valued. Through the implementation of the above measures, the links that affect efficiency in the mineral processing process can be optimized, the mineral processing efficiency can be improved, the production cost can be reduced, and the sustainable development of the mine can be achieved. (7) Continuous research and innovation: Encourage and support scientific researchers to conduct research and innovation in mineral processing technology, and continuously develop new mineral processing methods and processes. Strengthen exchanges and cooperation with other countries and regions, and introduce advanced mineral processing technology and equipment. At the same time, in view of the above-mentioned problem of low mineral processing efficiency, the introduction of MINGDE mineral processing equipment can greatly improve the mineral processing efficiency. Its value is mainly reflected in the following aspects: High-precision identification and sorting: MINGDE optoelectronic beneficiation equipment, such as the MINGDE AI sorter, can accurately identify multiple characteristics of non-metallic ores, including color, texture, shape, gloss, etc. This high-precision recognition technology enables ores to be accurately classified and screened, thereby improving the accuracy and efficiency of beneficiation. High efficiency sorting: The equipment has high-speed processing capabilities and can quickly complete the sorting of a large number of non-metallic ores. For example, the heavy-duty visible light artificial intelligence sorting machine product launched by MINGDE Optoelectronic has a sorting and processing capacity of up to 100 tons/hour, greatly improving production efficiency. Energy saving: MINGDE Optoelectronic mineral processing equipment achieves more crushing and less grinding by pre-sorting the granular ore, effectively reducing energy consumption. This optimization can not only improve production efficiency, but also reduce mineral processing costs and improve the economic and ecological benefits of the mineral processing plant. Environmental friendly: Compared with traditional physical and chemical beneficiation, the only energy consumption of photoelectric beneficiation is electricity consumption, and it has zero pollution to the environment. This green beneficiation method meets the current requirements of environmental protection and contributes to the sustainable development of mining production. High level of intelligence: With the development of computer technology and artificial intelligence technology, the intelligence level of Mingde Optoelectronics' mineral processing equipment has been continuously improved. This intelligent equipment can better adapt to the sorting needs of different types and complex ore structures, and improve the flexibility and adaptability of mineral processing. In summary, Mingde Optoelectronics' mineral processing equipment provides strong support for improving mineral processing efficiency through its advantages in high-precision identification, high-efficiency sorting, energy saving and consumption reduction, green environmental protection and high intelligence level. These advantages not only help to improve the efficiency and benefits of mining production, but also help to promote the green, intelligent and sustainable development of mining production.    

Non-metallic ores are important resources for the national economy. Ore sorting and processing are of great significance to improving resource utilization and optimizing industrial structure. With the rapid development of AI technology, MINGDE AI sorting machine has shown strong application potential and advantages in the field of non-metallic ore sorting. This article will give a detailed overview of the application of MINGDE AI sorting machine in non-metallic ores, including its technical principles, application characteristics, actual effects and future development trends, in order to provide reference and reference for the intelligent upgrading of the non-metallic ore industry. 1. Technical principles and characteristics of MINGDE AI sorting machine MINGDE AI sorting machine uses advanced AI and computer vision technology to identify and analyze images of non-metallic ores through deep learning algorithms. The equipment uses high-speed cameras to capture the texture, color, shape, gloss, texture and other characteristic information of the ore surface, and uses powerful computing power to process and analyze this information in real time, thereby achieving accurate sorting of non-metallic ores. MINGDE AI sorting machine has the following salient features: High-precision identification: MINGDE AI sorting machine can accurately identify multiple characteristics of non-metallic ores, including color, texture, shape, gloss, etc., thereby achieving accurate classification and screening of ores. High-efficiency sorting: This equipment has high-speed processing capabilities and can quickly complete the sorting of large quantities of non-metallic ores, significantly improving production efficiency. Automated operation: MINGDE AI sorting machine realizes the automated sorting process, reduces manual intervention, reduces labor intensity, and improves production safety. Flexible configuration: The equipment can be flexibly adjusted according to the sorting requirements of different non-metallic ores. It has strong adaptability and can be widely used in various non-metallic ore sorting scenarios.   2. Application of MINGDE AI Sorting Machine in Non-metallic Ores Ore sorting and screening There are many types of non-metallic ores, and different types of ores have significant differences in composition, use and value. MINGDE artificial intelligence sorting machine can accurately classify and screen the ores according to their surface characteristics, and effectively separate the ores and veins in different non-metallic ores, providing convenience for subsequent processing and utilization. Impurity removal and purification Non-metallic ores often contain various impurities, which not only affect the quality of the ore, but also increase the difficulty and cost of subsequent processing. MINGDE AI sorting machine can accurately identify and remove impurities in the ore, improve the purity of the ore, and provide high-quality raw materials for subsequent processing. Particle size analysis and control The particle size of non-metallic ores has an important influence on their performance and application areas. MINGDE AI sorting machine can adjust the corresponding parameters according to application requirements, and perform precise control as required to produce ore products that meet specific requirements. 3. Analysis of the application effect of MINGDE AI sorting machine The application of MINGDE AI sorting machine in non-metallic ores has achieved remarkable results. First, the equipment improves the sorting accuracy and efficiency of non-metallic ores, making ore resources more fully utilized and reducing resource waste. Secondly, through the automated sorting process, manual intervention and labor intensity are reduced, and production safety and efficiency are improved. In addition, MINGDE AI sorter can also be flexibly configured and optimized according to the characteristics of different non-metallic ores, improving the flexibility and adaptability of the sorting process. 4. Future development trend of MINGDE AI sorting machine in non-metallic ores With the continuous advancement of artificial intelligence technology and the expansion of application scenarios, the application of MINGDE AI sorting machine in the field of non-metallic ores will show the following development trends: Technological innovation continues to accelerate With the continuous innovation and development of artificial intelligence technologies such as deep learning and computer vision, the recognition accuracy and processing speed of Mingde artificial intelligence sorting machine will be further improved, providing more efficient and accurate solutions for the sorting of non-metallic ores. Wider application scenarios MINGDE AI sorting machine is not only used in traditional non-metallic ore sorting scenarios, but can also be expanded to more fields. Ores and materials with specific surface characteristics can be sorted. At the same time, the equipment will also be linked with other intelligent equipment and systems to build a more complete non-metallic ore intelligent sorting system. The level of intelligence continues to improve With the integration and application of technologies such as big data and cloud computing, MINGDE AI sorting machine will realize a more intelligent sorting process. By collecting and analyzing sorting data in real time, the equipment can continuously optimize the sorting algorithm and parameter settings to improve sorting accuracy and efficiency. At the same time, the intelligent sorting system will also have adaptive and self-learning capabilities, and can automatically adjust and optimize according to the characteristics of different non-metallic ores. https://www.mdoresorting.com/mingde-ai-sorting-machine-separate-quartzmicafeldspar-from-pegmatite 5. Conclusion The application of MINGDE AI sorting machine in the field of non-metallic ores provides strong support for the effective utilization of ore resources and industrial upgrading. Through the characteristics of high-precision identification, high-efficiency sorting and automated operation, the equipment significantly improves the sorting efficiency and accuracy of non-metallic ores, reduces resource waste and production costs. In the future, with the continuous innovation of technology and the expansion of application scenarios, MINGDE AI sorting machine will play a more important role in the field of non-metallic ores, and promote the intelligent upgrading and sustainable development of the industry. However, we should also recognize that the application of artificial intelligence technology in the field of non-metallic ore sorting still faces some challenges and limitations. For example, the identification and processing of some complex ores may require more advanced algorithms and technical support; therefore, we need to continue to increase research and development efforts to improve the technical level and performance of MINGDE AI sorting machines to promote their wider application in the field of non-metallic ores. In summary, as an important technological achievement in the field of non-metallic ore sorting, MINGDE AI sorting machine has broad application prospects and is full of potential. We have reason to believe that in the future development, INGDE AI sorting machine will make greater contributions to the intelligent upgrading and sustainable development of the non-metallic ore industry with its unique advantages and characteristics.    

The application scenarios of AI technology in mining resource sorting mainly include the following aspects: 1. Exploration of new minerals: AI technology has begun to be applied to the exploration of new minerals, such as using machine learning algorithms to analyze geological data and predict the best drilling locations. This technology has been successfully applied to gold exploration and is being used in the exploration of other minerals. 2. Unmanned mining vehicles: The application of AI technology in large mining companies is mainly to improve operational efficiency. Unmanned vehicles have been used in open-pit mines, and unmanned driving is achieved through automated transportation systems, which improves the efficiency and safety of mine operations. 3. Ore sorting optimization: AI technology can classify and identify ores through image recognition technology, improving sorting efficiency and accuracy. Data analysis and prediction models can predict the quality and composition of ores in advance, help adjust sorting parameters, and improve ore utilization. https://www.mdoresorting.com/mingde-ai-sorting-machine-separate-phosphorite-ore   4. Mineral association analysis: AI technology can predict the location and type of new mineral deposits through mineral association analysis. This method uses the combination of minerals formed under specific physical and chemical laws. For example, the formation of minerals is closely related to the chemical composition of the host rock and environmental conditions. 5. Mining resource exploration and mining: The application of AI technology in mining resource exploration and mining includes remote monitoring, automated mining, data analysis and decision support, intelligent safety monitoring, environmental monitoring, logistics management, data analysis, decision support, and automated control. These applications improve the efficiency, safety, and environmental protection of mining operations. 6. Mine management: AI technology can help mine managers analyze various production and operation data in a timely manner, provide visual data insights and intelligent decision-making support, and improve management efficiency. Automated and intelligent management AI technology can realize automated control of mining equipment and operating processes, improve operating efficiency and safety, and achieve more refined mine management. 7. Mine safety: AI technology can realize remote control and unmanned mine operations, improving the safety and work efficiency of operators. Advanced AI safety monitoring systems can analyze the mine operating environment in real time, promptly identify potential safety hazards, and warn operators, greatly improving mine safety. 8. Mine environmental monitoring: AI technology can monitor mine soil, water quality, air quality and other indicators in real time to detect environmental problems in a timely manner. Predictive analysis models can predict environmental change trends and provide a basis for formulating environmental protection measures. 9. Mining logistics: AI technology is revolutionizing mining logistics management. From automated loading and unloading to intelligent scheduling, unmanned transportation to real-time inventory monitoring, AI plays a key role in improving mining logistics efficiency, reducing costs, and enhancing safety. 10. Mine data analysis: AI technology can help mining companies quickly process and analyze massive amounts of production, environmental, safety and other data to uncover hidden value and patterns. Through AI technology, mining companies can better predict equipment failures, optimize production processes, improve resource utilization, and improve overall operational efficiency. 11. Mining decision support: AI technology can help mining companies make more intelligent and data-driven decisions. By analyzing massive production data, market forecasts, environmental monitoring and other information, AI systems can provide mine managers with more comprehensive decision-making suggestions and improve the operating efficiency and risk management capabilities of mines. 12. Mine automation: The application of AI technology in mine automation includes self-driving mining trucks, automated mining drilling, and intelligent ore sorting. These technologies improve production efficiency, reduce manual intervention, and improve operational safety. 13. Remote control of mines: AI technology can achieve real-time monitoring and automated control of mine sites through remote sensing, machine vision, machine learning and other technologies, greatly reducing the need for manual entry into dangerous environments. Remote control technology can also help mining companies improve the flexibility of production management and achieve effective management of distributed mines. These application scenarios demonstrate the wide application and huge potential of AI technology in mining resource sorting, indicating that mining will become more intelligent and efficient in the future.  

There are many factors that affect the effect of ore sorting, mainly including the following aspects: 1. Ore properties: The physical properties (such as hardness, density, humidity, particle size distribution) and chemical properties (such as mineral composition, chemical activity) of the ore are the key factors affecting the sorting effect. Different ores require sorting methods suitable for their characteristics. 2. Ore grade: The higher the content of valuable minerals in the ore, the better the quality of the concentrate obtained after sorting. Conversely, low-grade ore may require more complex sorting processes to reach the standard of economic utilization.   3. Sorting equipment: The performance, maintenance and operation level of the equipment directly affect the sorting effect. Efficient and stable equipment can improve sorting accuracy and processing capacity. 4. Process parameters: The setting of parameters such as feed rate, water flow rate, vibration frequency, etc. during the sorting process has a significant impact on the sorting effect. Reasonable process parameters can optimize the sorting effect. 5. Environmental conditions: Environmental factors such as temperature and humidity may also affect the sorting results, especially for minerals that are sensitive to the environment. 6. Complexity of ore: If the ore contains multiple minerals, the interaction between them may make sorting more difficult, and comprehensive sorting technology is needed. 7. Ore uniformity: Ore uniformity affects the stability of the sorting process. Inhomogeneous ore may lead to unstable sorting results. 8. Type and rate of impurities: The type and rate of impurities in the ore will also affect the sorting effect, especially those impurities that interfere with the sorting process. 9. Operator skills: The operator's experience and skills have an important impact on the sorting effect. Skilled operators can better control the sorting process. 10. Pretreatment before sorting: Pretreatment processes such as crushing and grinding have an important influence on the particle size distribution and surface properties of the ore, which in turn affects the sorting effect. MINGDE AI intelligent sorting machine takes the lead in using artificial intelligence means such as deep convolutional neural network (CNN) to analyze and process material images in the field of visible light photoelectric sorting, and automatically extracts multi-dimensional features of materials to establish a database through CNN local connection, weight sharing, multi-convolutional kernel and other methods in the training process, and the sorting effect is far better than that of traditional sorting methods,and it has outstanding performance in ore pretreatment, low-grade ore enrichment, and complex ore sorting.  

1. Definition and main components of limestone Limestone is a common sedimentary rock, the main component of which is calcium carbonate (chemical formula: CaCO₃). Limestone can be directly processed into stone and burned into quicklime. Quicklime becomes slaked lime after adding water. The main component is calcium hydroxide (Ca(OH)₂), which is often used in building materials and industrial raw materials. 2. Physical and chemical properties of limestone The physical properties of limestone include density, porosity, hardness, strength, decomposition temperature, thermal expansion coefficient, specific heat capacity, thermal conductivity, color, etc. For example, the density of limestone is approximately between 2.65 and 2.80 g/cm³, the hardness is between 2 and 4 on the Mohsscale, and the reference value of compressive strength is approximately 7.85 to 196.14 Mpa. The chemical properties of limestone mainly depend on the chemical properties of its main component, calcium carbonate. When heated to 898~910℃ under normal pressure, limestone will decompose into lime and carbon dioxide. The calcium carbonate in limestone reacts with almost all strong acids to form corresponding calcium salts and release carbon dioxide at the same time. In addition, the solubility of calcium carbonate in limestone in water containing carbon dioxide is much higher than that in water without carbon dioxide, because calcium carbonate generates more soluble calcium bicarbonate at this time. 3. Application of Limestone Limestone is widely used in building materials, roads, metallurgy, chemical industry and other industries. Building Materials Limestone can be used to produce lime and slaked lime.Quicklime can be used to produce building materials such as gypsum products, putty, and paint.At the same time, limestone can also be directly used to produce concrete, mortar and other building materials. Chemical raw materials Limestone can be used as a chemical raw material to produce a variety of chemical products, such as calcium chloride, calcium nitrate, calcium hydroxide, etc. These chemical products are widely used in food, medicine, pesticides and other fields. Metallurgical auxiliary materials In the metallurgical industry, limestone can be used as an auxiliary material for desulfurization and dephosphorization of molten metals. The calcium sulfate and calcium phosphate produced can be recycled as by-products. At the same time, limestone can also be used to produce metal elements such as calcium and magnesium. Environmentally friendly materials Since limestone can react with acidic substances to form precipitates, it can be used in environmental protection fields such as wastewater treatment and flue gas desulfurization. For example, limestone can react with acidic wastewater to form precipitates, so that harmful substances in the wastewater can be removed; in flue gas desulfurization, limestone can react with sulfur dioxide to form calcium sulfate, thereby achieving the purpose of desulfurization. Limestone can also be used to produce glass, ceramics, coatings and other products; in agriculture, limestone can be used as fertilizer to increase the pH value of the soil; in medicine, limestone can be used to produce some drugs and reagents.With the continuous development of science and technology, the application prospects of limestone will be broader. 4. Limestone mining Limestone mining generally follows these basic steps: 1) Exploration and evaluation: First, geological exploration is carried out on potential limestone mining areas to evaluate the reserves, quality and economic feasibility of limestone mining. 2) Mining Permits: Obtain necessary mining licenses and environmental impact assessment approvals to ensure mining activities are carried out legally and in compliance with regulations. 3) Selection of mining method: According to the characteristics and geographical location of the limestone deposit, the appropriate mining method is selected. Common methods include open pit mining and underground mining. 4) Mining operations: In open-pit mining, step-by-step or slope mining methods are usually used to dig downwards. Underground mining may use chamber-pillar method, staged caving method, etc. 5) Stone processing: The mined limestone needs to go through crushing, screening and other processing processes to meet different application requirements. 6) Transportation and Storage: The processed limestone is transported to the processing plant or storage site by truck, rail or belt conveyor. 7) Environmental protection and reclamation: Measures should be taken to prevent environmental pollution during the mining process, and land should be reclaimed after mining to restore the ecological environment. 5. Technology and equipment for limestone mining Limestone mining technology and equipment include: 1) Drilling equipment: used to drill holes in limestone for blasting operations. 2) Blasting equipment: used to separate limestone from rock. 3) Loading machinery: such as excavators, loaders, etc., used to load the limestone after blasting. 4) Transportation equipment: such as trucks, rail cars, conveyor belts, etc., used to transport limestone from the mining site to its destination. 5) Crushing and screening equipment: including jaw crusher, cone crusher, hammer crusher, vibrating screen, etc., used to crush limestone into products of different specifications. 6) Sorting equipment: including gravity sorting equipment, magnetic separation equipment, photoelectric sorting equipment, etc., used to separate crushed limestone and impurities https://www.mdoresorting.com/heavy-duty-ai-ore-sorting-machine-ore-sorter-mineral-separator-sorting-38cm-particles. 6. Safety and environmental protection measures in limestone mining During limestone mining, the following safety and environmental protection measures must be taken: 1) Safety procedures: Ensure that all staff follow safe operating procedures to avoid accidents. 2) Dust prevention measures: Take measures such as spray dust reduction and closed transportation to reduce the harm of dust to the environment and human health. 3) Noise control: Take sound insulation measures to reduce noise pollution generated by mining activities. 4) Water resource protection: Rationally utilize water resources and prevent water pollution. 5) Waste disposal: Properly dispose of waste generated during the mining process to reduce the impact on the environment. 7. Latest trends in limestone mining Recent trends in limestone mining include: 1) Intelligent mining: Use advanced automation and information technology to improve mining efficiency and safety. 2) Green mining: focus on environmental protection and adopt more environmentally friendly mining technologies and management methods. 3) Energy conservation and emission reduction: Reduce energy consumption and emissions by improving processes and equipment.        

1. Talc Overview Talc is a silicate mineral with a chemical composition of Mg3Si4O102. It is a trioctahedral mineral with a soft, smooth feel and a low Mohs hardness (1). It is often in the form of blocks, blades, fibers or radial aggregates. The color of talc is mostly white or off-white, but it can also have various colors due to other impurities. Due to its unique layered structure and lubricity, talc is widely used in industry, such as as a filler, reinforcing agent and insulating material. 2. Talc mining and processing There are two main ways to mine talc: open-pit mining and underground mining. Open-pit mining is suitable for talc mines above the surface, while underground mining is used for ore bodies below the surface. During the mining of talc, attention should be paid to the crushing of the ore because it is relatively fragile. After a series of processes such as crushing and grinding, talc ore can be made into talc powder of different specifications for use in various industrial fields. 3. Application fields of talc Talc is widely used in many industries due to its unique physical and chemical properties. In the cosmetics industry, talc is used as a filler for moisturizing powder, beauty powder, etc. In the coatings industry, talc is used as a white body pigment for various industrial coatings. In the papermaking industry, talc is used as a filler for paper and paperboard. In addition, talc is also used as a filler and reinforcing agent in industries such as plastics, rubber, cables, and ceramics. (1) Usage of talc in industrial field In the industrial industry, talcum powder is mainly used to improve the mechanical properties of products, such as improving the rigidity, heat resistance, creep resistance, etc. of plastic products. The addition of talcum powder can significantly improve the rigidity and heat resistance of plastic products, while also reducing production costs and improving the market competitiveness of products. (2) Usage of talc in the construction industry In the construction industry, talcum powder can be used to improve the performance of building materials, such as increasing the strength and durability of concrete. Talc is also widely used in architectural coatings, which can improve the hiding power and stability of coatings, while also providing certain thermal insulation and aging resistance effects. (3) Usage of talc in the automotive industry In the automotive industry, talcum powder is mainly used in the production of automotive interior and exterior parts, such as dashboards, door panels, pillars, etc. The addition of talcum powder can improve the mechanical strength and rigidity of these parts, while also reducing the overall weight of the car, contributing to the lightweight design of the car. (4) Talc usage in the aerospace industry In the aerospace industry, talc is widely used in the manufacture of high-temperature structural parts due to its excellent high-temperature resistance.The high-temperature stability of talc makes it an indispensable material in this industry. (5) Usage of talc in the pharmaceutical and cosmetic industries In the pharmaceutical and cosmetic industries, talc is used as a filler and coating agent to improve the quality and safety of products. The whiteness and chemical stability of talc make it widely used in these industries. 4. How to identify the quality of talcum powder (1) Observe color and texture High-quality talcum powder is usually white or light gray, with a fine and smooth texture and no visible impurities. Low-quality talcum powder may be darker in color, rough in texture, and may contain other impurities. (2) Check moisture content The water content of talcum powder will affect its performance and application effect. Generally speaking, high-quality talcum powder has a lower water content and is not easy to absorb moisture and become soft. The water content can be determined through simple experiments, such as placing the powder in a dry environment and observing its moisture absorption. (3) Detection particle size The particle size of talcum powder directly affects its application performance. High-quality talcum powder has uniform particle size and fine particle size, which helps to improve the gloss and smoothness of the product. The particle size distribution can be tested using equipment such as laser particle size analyzer. (4) Analytical chemical composition The main component of talc is magnesium silicate, but it may contain a certain amount of impurities, such as aluminum silicate and iron. Chemical analysis methods can be used to determine the chemical composition of talc to ensure that it meets the requirements of specific industries. 5. Talc purification technology As an industrial raw material widely used in many industries, talc purification technology is directly related to product quality and effective utilization of resources. In the purification process, how to balance product quality and resource waste is particularly important.. Detailed explanation of talc purification technology (1) Flotation Flotation method uses the difference in physical and chemical properties between talc and other mineral surfaces, and adds collectors and foaming agents to combine talc particles with water to form foam, thereby achieving purification. This method is simple to operate, but it is highly dependent on chemicals and has a certain impact on the environment. (2) Hand selection The hand selection method is to purify talc powder and gangue minerals by manual selection according to their different slipperiness. Although this method has high purity, it is labor-intensive and has low production efficiency, making it unsuitable for large-scale production. (3) Magnetic separation Magnetic separation is a method of separating minerals by using a magnetic field, using the magnetic difference between talc and associated minerals. This method is suitable for processing ores with high iron content, but the equipment investment is relatively large. (4) Photoelectric separation https://www.mdoresorting.com/mingde-ai-sorting-machine-separate-phosphorite-ore Photoelectric beneficiation is a method that uses the difference in reflection characteristics of talc and impurity minerals under different light to identify and separate them through photoelectric sensors. This method has high accuracy, but the equipment is complex and the maintenance cost is high. (5) Chemical treatment Chemical treatment is to remove impurities from talc through chemical reactions such as acid washing and alkali washing. This method can effectively remove specific types of impurities, but it may cause pollution to the environment. (6) Heat treatment The heat treatment method is to heat the talc to a high temperature and remove impurities by high-temperature calcination. This method can significantly improve the whiteness and physical and chemical properties of talc, but it consumes a lot of energy. Analysis of resource waste problem The waste of resources in the process of talcum powder purification is mainly manifested in the following aspects: 1. Energy consumption: In the purification process, especially heat treatment and chemical treatment, the energy consumption is huge, which is not conducive to sustainable development. 2. Reagent use: Processes such as flotation require a large amount of chemical reagents, which may be harmful to the environment and have high costs. 3. Tailings accumulation: The tailings generated during the beneficiation process have not been effectively utilized, resulting in a large amount of resource discard.      

Introduction Photoelectric ore sorting technology is an emerging ore processing technology that uses optical property differences to sort ore, and is particularly suitable for the effective processing of low-grade ore resources. This article will discuss in detail the latest progress of photoelectric ore sorting technology and its application in the processing of low-grade ore resources. Overview of Photoelectric Ore Sorting Technology Photoelectric ore sorting technology is mainly based on the differences in the optical properties of minerals, such as color, gloss, transparency, etc., through the illumination of a light source of a specific wavelength, and with the help of high-precision photoelectric sensors to identify and separate different minerals. This technology has the advantages of fast sorting speed, no need to add chemical reagents, and green environmental protection, and is especially suitable for the purification of low-grade ores. Application of Photoelectric Ore Sorting Technology in the Processing of Low-grade Ore Resources Low-grade ores usually refer to those ores whose grades are not enough for direct use, and their grades need to be improved through mineral processing or other treatment methods. Photoelectric ore sorting technology can improve the feed grade before the ore is crushed or ground, thereby reducing the cost of mineral processing and the load of equipment. Advantages of Photoelectric Ore Sorting Technology High efficiency: Photoelectric sorting technology can quickly remove a large amount of useless gangue, reduce the pressure of subsequent mineral processing links, and improve sorting efficiency. Low cost: Compared with traditional physical mineral processing and chemical mineral processing, the power consumption cost of photoelectric mineral processing is about 1 yuan/ton, which is much lower than traditional methods. Green and environmental protection: Photoelectric ore dressing has zero pollution to the environment and is a greener ore dressing method. 10 Technological progress: With the development of artificial intelligence technology, the intelligence level of photoelectric sorting equipment has been continuously improved, and it can handle more types of ores. https://www.mdoresorting.com/mingde-ai-sorting-machine-separate-quartzmicafeldspar-from-pegmatite Specific applications As a leading enterprise in the ore photoelectric sorting industry, MINGDE Optoelectronics' ore sorting machines are widely used in metal and non-metallic minerals. Over the years, MINGDE Optoelectronics has been professionally researching ore sorting and has made breakthroughs in many technologies. Among them, the AI ​​intelligent ore sorting machine launched for the first time in China uses advanced deep convolutional neural network technology to extract ore surface features from multiple angles, greatly expanding the types of sorted ores and improving the accuracy of ore sorting, especially in the sorting of pegmatite-type quartz. Experiments have shown that MINGDE AI intelligent ore sorting machines are competent for all types of ore that can be identified by the naked eye. While ensuring the sorting accuracy, our company's heavy-duty machines have greatly improved the sorting output of ore, meeting the requirements of mining companies for large-scale ore sorting. https://www.mdoresorting.com/heavy-duty-ai-ore-sorting-machine-ore-sorter-mineral-separator-sorting-38cm-particles Future development of photoelectric ore sorting technology The future development of photoelectric ore sorting technology will focus on improving sorting accuracy and reliability, reducing costs, improving cost performance, and adapting to the sorting needs of more types and more complex ore structures. At the same time, photoelectric sorting technology will also be combined with other ore dressing technologies to form a more complete ore processing solution. Conclusion Photoelectric ore sorting technology has shown great potential in the processing of low-grade ore resources, which can effectively improve resource utilization, reduce ore dressing costs, and is beneficial to environmental protection. With the continuous advancement and innovation of technology, photoelectric ore sorting technology will play an increasingly important role in the mining field.  

Overview of photoelectric sorting technology Photoelectric sorting technology is a technology that uses optical principles to automatically identify and classify materials. It detects the optical properties of materials, such as color, gloss, transparency, etc., through photoelectric sensors, and then determines whether it has the required characteristics through preset intelligent algorithms, and performs corresponding separation processing. This technology is widely used in industries such as mining, agriculture, food processing, and waste material recycling, especially in improving sorting efficiency and accuracy, reducing labor intensity, and reducing environmental pollution. Working principle of photoelectric sorting technology The working principle of photoelectric sorting technology involves several key components: light source system, sensor system, signal processing system, and execution system. First, the light source system provides light of different wavelengths to illuminate the material to be detected, so that the reflected light presents different colors. The sensor system, usually a linear array CCD sensor, captures these lights and converts them into electrical signals. The signal processing system processes these electrical signals, analyzes the characteristics of the materials through image processing algorithms, and classifies them according to preset standards. Finally, the execution system sorts the sorted materials, usually by high-speed airflow or robotic arms to exclude defective products and retain high-quality products. Application of photoelectric sorting technology in mining In the mining field, photoelectric sorting technology is mainly used for pre-sorting of ore to improve the overall grade of ore and reduce the cost of subsequent processing. For example, in the process of phosphate ore sorting, photoelectric sorting technology can effectively identify and remove low-grade ore and debris, thereby improving the efficiency of mineral processing and reducing energy consumption. In addition, this technology can also be used to process phosphate resources with fine particle size and complex embedded morphology, so that resources that were originally difficult to develop and utilize economically and efficiently can be fully utilized. Advantages and challenges of photoelectric sorting technology The advantages of photoelectric sorting technology lie in its high precision, high efficiency and environmental protection characteristics. It can complete the sorting of a large number of materials in a short time without adding chemical reagents, reducing pollution to the environment. However, the technology also faces some challenges, such as adapting to the sorting needs of more types and complex ore structures, improving the stability and anti-interference ability of the system, and reducing costs. Future development of photoelectric sorting technology With the continuous advancement of technology, photoelectric sorting technology is expected to further improve recognition accuracy and stability in the future, expand the scope of application, and play a greater role in mining and other fields. For example, by combining technologies such as artificial intelligence and big data analysis, the photoelectric sorting system will become more intelligent and automated, and can better adapt to different working environments and sorting requirements. Application of MINGDE Optoelectronic Sorting Technology Hefei MINGDE Optoelectronic Technology Co., Ltd., as a leading enterprise in the field of mining sorting in China, has taken the lead in introducing artificial intelligence, big data sorting and other technologies in the field of ore photoelectric sorting, expanding the variety of ore sorting by photoelectric sorting machines, and making the sorting effect more accurate. The heavy-duty machine developed by the company can sort ores with larger particle sizes, which brings about greater output and meets the requirements of mining companies for large-scale ore sorting. https://www.mdoresorting.com/wet-intelligent-minerals-separator-ore-sorting-machine-leading-manufacturer-of-china Since its establishment in 2014, the company has been working hard in the field of ore sorting for ten years. The staff visited various mining areas in China on the spot, fully communicated with various mining companies, and deeply understood the various requirements of the mines for sorting equipment. The overall structure of the MINGDE sorting machine adopts a split structure to avoid the influence of feeding vibration on the main part of the machine sorting, ensuring the accuracy of sorting; using a conveyor belt instead of a chute reduces the trouble of frequent replacement of wearing parts of the chute machine. The whole machine is coated with an anti-corrosion coating, which improves the adaptability of the machine to the harsh working environment of high dust, high pollution and high corrosion in the mining industry. MINGDE Optoelectronic Technology Co., Ltd. has always believed that integrity makes MINGDE a success and MINGDE creates the best corporate mission. We are willing to work together with friends from all walks of life to achieve the long-term development of mining intelligence and automation.

Recently, the attention to titanium alloys has increased again. As a key raw material for the production of titanium alloys, titanium sponge can be used to manufacture products in aerospace, national defense, chemical industry, consumer electronics and other fields. Due to its excellent physical and chemical properties, titanium sponge occupies a pivotal position in the demand for high-performance materials. The main producing countries of titanium sponge include the United States, Russia, China, Japan, Ukraine, Kazakhstan, etc. Among them, China is the world's largest producer of titanium sponge, and its output accounts for 62.7% of the global total output. The United States and Russia are also important producers of titanium sponge. Although their output is not as good as that of China, they occupy an important position in the high-end market. Japan and Ukraine occupy a certain share in the production of titanium sponge. In recent years, China has made significant progress in the research of ultra-soft titanium sponge. After years of hard work, Panzhihua Iron and Steel Research Institute Co., Ltd. of Panzhihua Iron and Steel Group has successfully developed ultra-soft titanium sponge suitable for the aviation field, breaking the monopoly of foreign technology and providing key material support for the country's aviation industry. The market status of titanium sponge shows that the global output of titanium sponge will be 279,000 tons in 2022, a year-on-year increase of 14.6%. China's titanium sponge production accounts for 62.7% of the world's total production. China's titanium sponge market concentration is relatively high. In 2019, Pangang Titanium's titanium sponge production accounted for 22.4% of the country's titanium sponge production. Luoyang Shuangrui Wanji, Guizhou Zun Titanium, Chaoyang Parkson, and Chaoyang Jinda's titanium sponge production accounted for 18.9%, 14.6%, 11.8%, and 10.4% of the country's titanium sponge production, respectively. By analyzing the impurities in titanium sponge and the requirements for sorting accuracy, and referring to the feasibility of other sorting equipment on the market, the equipment that can not only sort out foreign matter in titanium sponge, but also meet the requirements of sorting particle size, sorting accuracy, and production site is the AI ​​artificial intelligence sorting machine of Mingde Optoelectronics. First of all, the AI artificial intelligence sorting machine can establish an identification model based on the materials to be sorted. If new materials to be identified are added, they can be added through training in the later stage. It can simultaneously identify multiple foreign objects and accurately separate them; the equipment can currently support the sorting of materials with a particle size of more than 3mm, and the equipment has been mature and applied in large quantities in the field of ores, which can fully meet the sorting requirements of titanium sponge. https://www.mdoresorting.com/ai-intelligent-mineral-ore-sorting-machine Deep identification, high precision. Mingde Optoelectronics Artificial Intelligence Sorting Machine is equipped with AI artificial intelligence technology and human eye recognition module, which can comprehensively and deeply identify material characteristics, realize real-time material analysis, and have high recognition accuracy. It can also train and learn new material types through learning mode to further improve the overall sorting effect. High-speed collaborative stable system, large output. The modules of the ore sorting machine run at high speed, and each functional area operates efficiently and collaboratively. The whole machine runs stably and strongly, and the ore sorting is done in one go, achieving greater output. Multi-dimensional analysis technology, significant effect. From the multi-dimensional identification of the texture, color, shape, texture, etc. of the material to be sorted, the ore positioning algorithm, adaptive algorithm, precise material center, and precise blowing positioning, the accuracy of the rejection system is improved, and the sorting effect is good. Master the core technology and the application range of mineral processing is wide. The sorting machine uses the advantages of advanced technology to realize the gradual upgrading of mineral processing technology. Its application range is wide, solving the problem of complex structure and low utilization rate of various materials.

Overview of silica ore Silica ore is a non-metallic mineral with silica-rich minerals as the main component, mainly including quartz sandstone, quartzite and other forms. The classification of silica ore is complex and diverse, and can be distinguished according to the environment, composition, structure, etc. of its formation. The application of silica is extremely wide, involving many industries such as glass, ceramics, and refractory materials. Classification and characteristics of silica ore The classification of silica ore can be divided from multiple angles: 1. Classification by organizational structure: It can be divided into crystalline silica and cemented silica. Crystalline silica is mainly composed of quartz particles, while cemented silica is quartz particles combined by siliceous cement. 2. Classification by transformation speed: Silica can be divided into four types according to its transformation speed at high temperature: extremely slow, slow, medium and fast transformation. 3. Classification by density: Silica can also be divided into extremely dense, dense, relatively porous and porous according to its density. Application of silica ore Due to its unique physical and chemical properties, silica ore has important applications in many fields: 1. Glass industry: silica ore is an important raw material for glass manufacturing, especially vein quartz, which is the preferred raw material for producing high-quality glass because of its SiO2 content of up to 99%. 2. Ceramic industry: silica ore is used to produce ceramics, especially some ceramic products with special requirements, such as electrical insulation porcelain, chemical corrosion-resistant porcelain, etc. 3. Refractory materials: The high temperature performance of silica ore makes it the preferred raw material for making refractory materials, such as blast furnace refractory materials used in steel smelting. 4. Abrasive industry: silica ore is also widely used in the abrasive industry. Due to its high hardness, it can be used in various grinding and polishing processes. Mining and ore dressing and purification of silica ore The mining of silica ore is mainly carried out in open-pit mode, and the ore dressing and purification process includes steps such as scrubbing, magnetic separation, flotation, acid leaching and photoelectric separation. These processes are designed to improve the purity of silica and reduce the impurity content to meet the specific needs of different industries. Crushing and Grinding Silica ore is usually crushed using jaw crushers and cone crushers. The former is suitable for primary crushing, while the latter is used for secondary or finer crushing. The crushed silica enters the grinding stage. Grinding equipment includes ball mills, high-pressure suspension roller mills and abrasive mills, etc. These equipment can grind silica to the required particle size and improve the quality of silica. Scrubbing and Magnetic Separation Scrubbing is the use of mechanical force and the abrasive force between sand particles to remove film iron, bonding and muddy impurity minerals on the surface of quartz sand. Magnetic separation can remove magnetic minerals such as hematite, limonite and other impurities from scrubbed silica to the maximum extent. Flotation Flotation is mainly used to remove non-magnetic associated impurity minerals such as feldspar, mica, etc. During the flotation process, the chemical conditions of the flotation environment are adjusted by adding flotation agents such as collectors, frothers and regulators to improve the separation efficiency of silica and impurities. Acid leaching Acid leaching is mainly used to further reduce the iron content in silica, especially for quartz sand with high purity requirements. Acid leaching can make the purity of silicon dioxide reach more than 99.93%. Photoelectric sorting https://www.mdoresorting.com/mingde-ai-sorting-machine-separate-quartzmicafeldspar-from-pegmatite Photoelectric sorting is a technology that uses the surface characteristics of silica ore for identification and sorting. It is suitable for silica ores with obvious or complex color characteristics. Through photoelectric detection technology, heterochromatic granular materials are automatically sorted out, thereby improving the overall quality of silica. It is worth mentioning that Mingde Optoelectronics Technology Co., Ltd. is the first to introduce artificial intelligence technology in the field of visible light photoelectric sorting, which can sort more categories of ores. In silica ore sorting, the color, gloss, texture and texture of the ore surface can be used to distinguish the silicon in the ore from the feldspar of the same color. The sorting effect is more accurate than that of the color sorter. Pre-sorting and auxiliary processes Pre-sorting usually includes processes such as scrubbing, magnetic separation and flotation, while auxiliary processes include adding pre-sorting processes after crushing, and improving the quality of the ore entering the mill through pre-waste treatment, improving the production efficiency of subsequent processes and reducing production costs. Conclusion In summary, silica ore, as an important non-metallic mineral, not only has a wide variety of types, but also has a wide range of industrial application value. The continuous deepening of research on its mining and purification technology will help to better realize its potential in various fields. With the advancement of science and technology, the utilization of silica ore in the future may be more efficient and environmentally friendly.