Analyses of Grinding and Gravity/Magnetic Separation with a View to Optimizing Mixed-Type Processing Technology for Rare Metals

2021 ◽  
Vol 57 (3) ◽  
pp. 511-522
Author(s):  
M. S. Khokhulya ◽  
S. A. Alekseeva ◽  
A. A. Cherezov ◽  
A. V. Fomin
Keyword(s):  
Magnetic Separation ◽  
Mixed Type ◽  
Processing Technology ◽  
Rare Metals

Flotation to Recover Copper Minerals from a Low-Grade Copper-Bearing Iron Ore

2012 ◽  
Vol 549 ◽  
pp. 998-1001
Author(s):  
Si Qing Liu ◽  
Peng Li ◽  
Shu Ming Wen ◽  
Dian Wen Liu
Keyword(s):  
Magnetic Separation ◽  
Phase Analysis ◽  
Iron Ore ◽  
Processing Technology ◽  
Raw Material ◽  
Low Grade ◽  
Copper Concentrate

Large amount of sourrounding rocks in Jianshui China has been discarded for many years, and the “rock” is characterized by Cu-Fe polymetallic constituents and of low grade. According to the results of chemical and phase analysis as well as the mineralogy, a joint pocess of flotation and magnetic separation was proposed and used to process the ore. Flotation results show that the combined processing technology is efficient in utilizing the low grade rocks. A copper concentrate assaying 20.68% Cu at the recovery of 80.11% can be obtained, when the raw material assays 0.79% Cu.

Present Status of China's Hematite Processing Technology Study

2013 ◽  
Vol 734-737 ◽  
pp. 958-961
Author(s):  
Feng Jiu Li ◽  
Yun Long Qu ◽  
Fu Ping Li ◽  
Jin Rui Zhang
Keyword(s):  
Magnetic Separation ◽  
Present Status ◽  
Recovery Rate ◽  
Separation Process ◽  
Processing Technology ◽  
Reverse Flotation ◽  
Technology Study ◽  
Flotation Process ◽  
Iron Grade ◽  
Selective Aggregation

This paper describes the hematite beneficiation technology progress and equipment,the current research has through biological flotation, flotation and selective aggregation separation process for separating iron minerals.Can reach a maximum of iron grade of 67.50%, metal recovery rate of 75% of the final concentrate of current hematite beneficiation process for gravity separation magnetic separation reverse flotation process.

Process Mineralogy of an Oolitic Hematite Ore and its Implications for Mineral Processing

2012 ◽  
Vol 567 ◽  
pp. 131-134 ◽  
Author(s):  
Hui Xin Dai ◽  
Wei Zhao ◽  
Li Kun Gao ◽  
Bao Xu Song
Keyword(s):  
Magnetic Separation ◽  
Mineral Processing ◽  
Processing Technology ◽  
Magnetic Intensity ◽  
Sw China ◽  
Iron Minerals ◽  
Mineralogical Study ◽  
Process Mineralogy ◽  
Hematite Ore ◽  
Oolitic Hematite Ore

Based on process mineralogical study of an oolitic hematite ore in SW China, the texture and structure of the ores, the occurrence of iron minerals and the dissemination of them are determined in detail, which provides scientific reference for forthcoming mineral processing technology. The mineralogical results show that the sizes of the grains are generally under 0.01mm, so the minerals cannot be liberated completely by traditional grinding technology. Moreover, the objective minerals are the assemblages of hematite and chlorite, whose amount is highly variable, so the magnetism also varies widely. Therefore, during the coming magnetic separation tests, the increment of the magnetic intensity should be strictly manipulated to determine the best condition for the ores.

Digital differential hysteresis iimage processing displays what the microscope acquires but the eye can't see

1995 ◽  
Vol 53 ◽  
pp. 642-643
Author(s):  
Klaus-Ruediger Peters
Keyword(s):  
Image Processing ◽  
Visual System ◽  
High Precision ◽  
Image Data ◽  
Processing Technology ◽  
Output Data ◽  
Contrast Resolution ◽  
Pixel Intensity ◽  
Data Reading ◽  
Hysteresis Properties

Differential hysteresis processing is a new image processing technology that provides a tool for the display of image data information at any level of differential contrast resolution. This includes the maximum contrast resolution of the acquisition system which may be 1,000-times higher than that of the visual system (16 bit versus 6 bit). All microscopes acquire high precision contrasts at a level of <0.01-25% of the acquisition range in 16-bit - 8-bit data, but these contrasts are mostly invisible or only partially visible even in conventionally enhanced images. The processing principle of the differential hysteresis tool is based on hysteresis properties of intensity variations within an image.Differential hysteresis image processing moves a cursor of selected intensity range (hysteresis range) along lines through the image data reading each successive pixel intensity. The midpoint of the cursor provides the output data. If the intensity value of the following pixel falls outside of the actual cursor endpoint values, then the cursor follows the data either with its top or with its bottom, but if the pixels' intensity value falls within the cursor range, then the cursor maintains its intensity value.

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