Ore is the product of billions of years of geological action on the earth. Its formation process is complex and diverse, which directly determines the physical and chemical properties of the ore, and then affects the choice of mineral processing methods. From magma differentiation to hydrothermal deposition, from weathering and erosion to metamorphism, the formation process of ore has left a unique "brand" on its characteristics. And these characteristics are the core basis for the design of mineral processing methods and the selection of equipment.MINGDER Mineral Processing Equipment takes ore characteristics as the starting point, and through technological innovation and equipment upgrades, provides customized sorting solutions for different types of minerals, and promotes mineral processing technology from traditional to intelligent.

The formation process of ore determines its composition, structure and physical and chemical properties. For example:

Ores formed by magma differentiation (such as quartz and potassium feldspar) usually have high crystallinity and single composition, which are easy to sort;

Ores formed by hydrothermal action (such as gold and copper) are often accompanied by multiple minerals, with fine embedded particles and great difficulty in sorting;

Ores formed by sedimentation (such as limestone and wollastonite) are mostly layered, with stable composition but high impurity content;

Ores formed by metamorphism (such as magnesite and brucite) have dense structure, low hardness, and are fragile, requiring fine sorting. These characteristics directly affect the selection of mineral processing methods. For example, sulfides in gold mines need to be combined with photoelectric sorting, flotation and chemical leaching processes. Photoelectric sorting will pre-select sulfides associated with AU elements, and other gangue will be discarded in advance, reducing the processing volume of later flotation and leaching, and optimizing the process links.

The characteristics of ore mainly include composition, embedded particle size, density, magnetism, photoelectric properties, etc. These characteristics provide a scientific basis for mineral processing methods:

Complexity of composition: Metallic ores are often associated with impurities and need to be combined with a variety of sorting processes; non-metallic ores have a single composition and the sorting process is relatively simple.

Embedded particle size: Fine-grained ores require higher-precision sorting equipment, such as X-ray sorters or AI intelligent sorters.

Differences in physical properties: Density differences are suitable for re-selection and X-ray sorting, magnetic differences are suitable for magnetic separation, and photoelectric property differences are suitable for color sorting and AI photoelectric sorting. For example, calcium carbonate and dolomite have similar densities, but their optical properties are significantly different, so they are suitable for color sorters and AI photoelectric sorting; while iron ore and associated minerals have significant differences in atomic density,so they are more suitable for XRT SORTER.

MINGDER Photoelectric Mineral Processing Equipment takes ore characteristics as the starting point and develops differentiated sorting equipment for different types of ores. The technical path is from simple to complex, from general to special, gradually meeting customer needs and promoting technological progress in the industry.

1. Simple ores: Efficient sorting of color sorters.For ores with a single composition and low sorting difficulty (such as quartz, potassium feldspar, and calcium carbonate), Mingder color sorters achieve rapid sorting through optical recognition. For example, impurities in quartz sand can be accurately removed by color difference, and the sorting efficiency is over 98%. This type of equipment is low-cost and easy to operate, and is the mainstream choice for non-metallic ore processing.

2. Complex ores: Precision breakthrough of X-ray sorters.For ores with complex composition and fine embedded particles (such as lead-zinc ore, vanadium ore, and coal gangue),Mingder X-ray intelligent sorters use the difference in atomic density inside the minerals to achieve deep identification. For example, in lead-zinc ore, X-ray technology can increase the lead content of ore from 4% to 8%, and the recovery rate is increased by 30%.

3. Future direction: Intelligent upgrade of artificial intelligence sorters.For scenarios with highly complex mineral characteristics,Mingder artificial intelligence sorters dynamically adjust sorting parameters through big data training and real-time learning. For example, the AI model can identify the tiny spectral differences between calcium carbonate and dolomite, and the sorting accuracy is 40% higher than that of traditional equipment.

The technological development of MINGDER ore dressing equipment has always been customer-oriented. By continuously accumulating sorting experience, it has gradually launched equipment suitable for different types of minerals:

Primary stage: Develop efficient color sorters for bulk minerals such as quartz, calcium carbonate, and potassium feldspar;

 Intelligent stage: Use AI intelligent technology to solve the sorting bottleneck of complex ore sorting problems for ores such as brucite, magnesite, talc, and pebbles.

This process not only improves the adaptability of the equipment, but also drives the overall technological upgrade of the ore dressing industry. For example, color sorters have developed from single wavelengths to multi-spectral fusion, X-ray sorting has been upgraded from static imaging to dynamic 3D modeling, and AI technology has promoted the sorting process from "manual intervention" to "autonomous decision-making."

We have been working hard to build green and smart mines through technological innovation.