Research on Grinding Law and Grinding Parameters Optimization of Polymetallic Complex Ores

Abstract

Grinding plays an important role in mining, construction, metallurgy, chemical, coal and other basic industries. In terms of beneficiation, grinding is the most energy consuming operation. So, reasonable grinding conditions according to the properties of ores is the key to obtain good grinding results and reduce energy consumption and resource waste. In this paper, Tongkeng and Gaofeng polymetallic complex ores are taken as research objects, and the effects of grinding law based on single factor condition test and the grinding parameters optimization based on response surface method were studied for two kinds of ores. The results show that grinding time is a significant factor affecting the particle size composition. The suitable grinding concentration of Tongkeng ore and Gaofeng ore is 70% and 75%, respectively. The effect of mill filling ratio on Gaofeng ore is not obvious. The rotational rate has little effect on the grinding technical efficiency. The regression model equations obtained by response surface method are extremely significant, and the relative errors of prediction are all within 1%, indicating high reliability of fitting equations. The order of influencing factors of the two ores is as follows: grinding time > filling ratio > grinding concentration. For Tongkeng ore, the optimized grinding conditions are grinding time 5.4 min, grinding concentration 67% and filling ratio 35%. For Gaofeng ore, the optimized grinding conditions are grinding time 3.8 min, grinding concentration 73% and filling ratio 34%.

Study on the Population Balance Dynamics Simulation of Grinding under Impact Crushing

“…Such complexity poses significant challenges to the efficiency of the grinding separation processes and impacts the economic and technical performance of the concentration plant [13,14]. Operating conditions such as grinding concentration, grinding time, filling rate, and rotational speed can also significantly affect the grinding process [15][16][17]. Therefore, optimizing grinding operations, delving into grinding theory, enhancing the efficiency of grinding operations, and cutting down on grinding costs are pivotal in slashing production expenses and improving the efficiency of resource recycling and usage [18][19][20][21].…”

Study on Impact Crushing Characteristics of Minerals Based on Drop Weight Tests

“…These low-grade ores with complex compositions have a large number of constituent minerals and significant differences in their physical and chemical properties, which seriously affects the subsequent separation efficiency of crushed products and the economic and technical indicators of the concentrator [11][12][13][14]. Therefore, optimizing crushing operations, improving crushing efficiency, and reducing crushing costs are of great significance to the mineral resource processing industry in the reduction of production costs and improvements to resource recovery and utilization [15][16][17][18][19].…”

Study on Grinding Behavior Characteristics under Low-Speed Grinding Condition

“…Ball mills have been widely used in industrial production due to their simple structure, ease of adjustment, reliability, and safety [12][13][14]. The movement state of the medium inside the ball mill directly affects the grinding power, steel ball consumption, and grinding economic indicators.…”