What are the sorting standards for fluorite?

The sorting standards of fluorite are mainly determined by the final use of fluorite concentrate. Different uses have different quality requirements for fluorite concentrate. The selling prices of different levels are also different.The following are some common fluorite sorting standards:

1. Metallurgical grade: The CaF2 content is generally required to be between 80% and 85%, the silicon dioxide (SiO2) content shall not exceed 5%, the calcium carbonate (CaCO3) content shall be between 4% and 5%, and the lead sulfide (PbS) content shall not exceed 0.7%.

2. Ceramic grade: The CaF2 content requirement is higher, usually above 95%, the silicon dioxide content does not exceed 3%, the calcium carbonate content does not exceed 1.0%, and the iron oxide (Fe2O3) content does not exceed 0.12%.

3. Acid grade: The CaF2 content requirement is very high, usually above 97%, and the silica and calcium carbonate contents do not exceed 1.0%.

The application of artificial intelligence photoelectric sorting technology in the fluorite sorting process can greatly improve sorting efficiency and economic value. Mingder artificial intelligence ore sorter can accurately sort high-grade fluorspar concentrate and tailings based on the differences in surface physical characteristics of fluorspar concentrate and waste rock. Photoelectric separation can replace the traditional manual separation process, improve the processing level, and can play a role in different types of fluorspar ores, for example pre-throwing waste rock to increase the overall economic value and reduce the cost of flotation cost. In addition, the artificial intelligence ore sorting machine can effectively solve the problems of traditional sorting methods limitations, such as low manual sorting efficiency and high grade requirements for gravity sorting,high flotation costs by combining multiple characteristics such as color, shape, texture, luster, reflectivity, etc.The application of intelligent sorting technology can also improve the comprehensive utilization and economic value of fluorspar ore, reduce mining grade requirements, and realize the intelligence and automation of mining.

How to apply artificial intelligence photoelectric sorting technology to fluorite sorting?

The application of Mingder artificial intelligence photoelectric sorting equipment in fluorite sorting mainly includes the following steps:

1.Pretreatment: Fluorite ore is first crushed and screened into suitable particle sizes(ore and gangue are fully separated) to adapt to the processing capacity of the sorting equipment.

2.Photoelectric detection: The crushed ore lumps pass through mingde photoelectric ore sorter, which uses high-precision sensors and cameras to perform multi-dimensional stereoscopic scanning of the ore's color, glossy, texture, shape and other physical characteristics.

3.Data processing and model recognition: The scanned data is transmitted to an industrial computer. Through artificial intelligence algorithms and deep learning models, the computer identifies the differences between fluorite and other minerals and establishes a sorting model.

4. Sorting execution: Based on the identification results, the equipment separates fluorite from waste rock through pneumatic or other mechanical means to achieve high-precision sorting.

5. Optimization and learning: The intelligent sorting machine can self-optimize and learn according to the on-site sorting results to adapt to different types and qualities of fluorite ores, improving sorting efficiency and economic value.

The application of Mingder artificial intelligence ore sorter can greatly improve the automation level of fluorspar sorting, reduce dependence on manual labor, and at the same time improve the sorting accuracy and the comprehensive utilization rate of ore.