Wollastonite surrounding rocks are divided into two types: marble type and skarn type. Among them, skarn type is mainly lens-shaped, cystic, irregular banded, etc., among which wollastonite generally has high iron impurities, and the gangue is mainly garnet, diopside, calcite and quartz. Garnet and diopside are separated by strong magnetic separation, and calcite and quartz are separated by flotation. The marble type is more complex, mainly in agglomerate and cystic shapes. Its wollastonite is distributed in flower and worm strips, with low iron content. The gangue is mainly calcite and quartz and a small amount of diopside. This type of ore is mainly separated by flotation to separate calcite and quartz.

Wollastonite ore dressing and purification method

At present, there are mainly manual selection, flotation, single magnetic separation, magnetic separation-flotation (electrical separation) for wollastonite separation. The purpose of wollastonite separation is mainly to reduce the iron content and separate calcite and waste rock.

Hand selection mainly involves manually selecting rich ores or manually selecting rich wollastonite through conveyor belts. It is mainly suitable for ores with high wollastonite content.

Flotation mainly involves separating wollastonite and calcite based on their different physical and chemical properties. It can also remove a large amount of iron impurities and improve the grade of wollastonite.

Single magnetic separation mainly involves using weakly magnetic minerals such as garnet and diopside in the original ore. Wollastonite is not magnetic. Wollastonite is separated from other gangues through dry or wet strong magnetic separation technology. It can also remove a large amount of iron-containing ores and improve the overall grade.

Magnetic separation-flotation is mainly suitable for the treatment of low-grade wollastonite. First, weakly magnetic ores are separated through magnetic separation, and then wollastonite is separated from quartz and calcite through flotation.

The latest sorting method for wollastonite ore dressing - artificial intelligence photoelectric sorting

Through physical sorting, the surface characteristics of wollastonite, calcite, and miscellaneous stones are used for sorting. Before entering flotation or magnetic separation, the raw ore is crushed and washed before entering the artificial intelligence sorting machine.

Artificial intelligence photoelectric sorting uses the surface characteristics of wollastonite, calcite, quartz, garnet, and miscellaneous stones for sorting. The main surface characteristics of the sorting are color, color, texture, shape, etc., and the data model is established through artificial intelligence. The purpose of accurately sorting out wollastonite and associated stones is achieved.

Artificial intelligence ore sorting machines are different from traditional photoelectric color sorters. Traditional photoelectric color sorters can only sort by color differences. For example, when the associated quartz or other colors are close to wollastonite waste rocks, the color sorter cannot accurately sort out wollastonite. Only artificial intelligence ore sorting machines integrate the multi-dimensional characteristics of good and bad materials in the raw ore, establish a sorting model, and achieve final sorting accuracy and low carryout of good and bad materials through artificial intelligence technology.

https://www.mdoresorting.com/mingde-ai-sorting-machine-separate-quartzmicafeldspar-from-pegmatite

Project Advantages

Artificial intelligence can completely replace manual selection in the application of wollastonite. If the dissociation degree of wollastonite is good, the artificial intelligence machine can directly sort out wollastonite and tailings, which has the advantages of high efficiency, good effect and low cost. The cost is mainly the one-time equipment purchase cost and the subsequent equipment power supply cost. If the dissociation degree is average, the artificial intelligence machine can also sort out the wollastonite with good grade, or discard the useless waste rock, which can directly reduce the amount of ore entering magnetic separation or flotation, save the cost of magnetic separation and flotation, and reduce the processing level of tailings.

In particular, Mingde Optoelectronics Artificial Intelligence Sorting Machine has been widely used in various ore sorting fields at this stage, not only in wollastonite. As long as there are ores with visible surface differences, they are within the sorting range of artificial intelligence sorting machines. The equipment has withstood the test of various industrial and mining enterprises in terms of technical maturity and actual application effect.