Economic value of spodumene:

Spodumene is an important lithium mineral. Depending on its grade, spodumene has different applications in different fields. High-grade spodumene (1%-2%) is usually used to extract lithium and produce lithium salts, such as lithium carbonate and lithium hydroxide, which are widely used in lithium battery manufacturing, ceramics and glass industries, etc. Medium-grade spodumene may be used in the production of building materials, taking advantage of its high strength and corrosion resistance. Low-grade spodumene may be used in specific industrial applications, or more cost-effective extraction technology may be needed to increase its utilization value.

The separation of spodumene is mainly to effectively extract lithium resources from the ore, while removing or reducing the content of other impurity minerals to obtain high-purity spodumene concentrate. This process is crucial to meet the application needs of lithium batteries, glass and ceramics, etc. Common methods used in spodumene beneficiation include artificial intelligence photoelectric separation,flotation, gravity separation and magnetic separation. These methods can be optimized and combined according to the specific composition and physical and chemical properties of spodumene ore to improve the recovery rate of lithium and the quality of concentrate.

Among the many separating methods, AI separating has many advantages,especially hefei MINGDER artificial intelligence ore separating machine.Their technologically advanced in the industry, and equipment quality is suitable for high-dust and high-pollution application scenarios in the industrial and mining industries.

MINGDER use artificial intelligence photoelectric sorting technology combines artificial intelligence algorithms and photoelectric sensing technology to identify and classify surface characteristics of materials, such as color, glossy, texture and shape.In resource recovery, mineral processing and other fields this technology has significant advantages:

1.High efficiency: The artificial intelligence photoelectric sorting system can achieve accurate identification and sorting under high-speed transportation conditions, greatly improving production efficiency.

2.High accuracy: Through multi-dimensional feature recognition, this technology can achieve more accurate sorting than the naked eye and traditional high-definition cameras, with a sorting accuracy of up to 98%.

3.High automation: Reduces manual intervention, reduces labor intensity, and reduces misjudgments caused by visual fatigue.

4.Energy saving and environmental protection: By reducing the emission of waste rock and tailings, it contributes to environmental protection and resource saving and utilization.

5.Wide applicability: Artificial intelligence photoelectric sorting technology can be applied to the sorting of a variety of materials, including but not limited to spodumene, wollastonite, recycled plastics, etc., and is suitable for complex sorting scenarios.

6.Intelligent learning capability: The equipment can continuously learn according to the deep learning mode to further improve the sorting effect and adapt to different materials and environments.

7.Reducing costs: By discarding the scrap tailings in advance, the cost of subsequent processes can be reduced. At the same time, the pre-thrown tailings also have a certain reuse value.

These advantages make artificial intelligence photoelectric sorting technology an important development direction in the field of modern industrial sorting.