Abstract
This work concentrates on the energy consumption and grinding energy efficiency of a laboratory vertical roller mill (VRM) under various operating parameters. For design of experiments (DOE), the response surface method (RSM) was employed with the VRM experiments to systematically investigate the influence of operating parameters on the energy consumption and grinding energy efficiency. The prediction models of energy consumption (Ecs) and grinding energy efficiency (η) were established respectively with the operating parameters (loading pressure, rotation speed and moisture content). Analysis of variance (ANOVA) was performed to obtain useful knowledge in designing operating parameters. Moreover, the multi-objective optimization design (MOD) method was conducted to seek out the optimal parameters of the VRM, and a set of optimal parameters was gained based on the desirability approach by Design-Expert. It is proved that the optimized prediction results match the experimental results well, which indicates this research offers a reliable guidance for reducing energy consumption and improving grinding energy efficiency.
Highlights
Mineral crushing is highly energy consuming, accounting for about 35–50% of the total cost and 1.8% of the global electrical energy consumption [1,2]
vertical roller mill (VRM) plays an important role in cement, accounting for more than 55% of China’s cement raw meal market [6], and its performance directly affects the cost of producing cement
Altun found this situation in a chalcopyrite test, where the grinding energy consumption is reduced by 18% compared with the conventional ball milling process, and pointed out that overflow type is expected to be more efficient than the air-swept model [5]
Summary
Mineral crushing is highly energy consuming, accounting for about 35–50% of the total cost and 1.8% of the global electrical energy consumption [1,2]. Various types of crushing equipment have been developed to meet the requirement of the industry, such as jaw crusher, cone crusher and vertical roller mill i.e., VRM [3,4,5] Among these devices, VRM plays an important role in cement, accounting for more than 55% of China’s cement raw meal market [6], and its performance directly affects the cost of producing cement. It is necessary to optimize the multi-objective parameters of the VRM in order to improve the grinding performance and reduce energy consumption. The present work focuses on the grinding performance of an overflow laboratory VRM It concentrates on addressing the designing and optimizing issues for the energy consumption and grinding energy efficiency. Multi-objective optimization design (MOD) of the grinding performance was executed by employing a desirability approach to obtain minimum Ecs and maximum η
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