Research on slag grinding process control

Duan, Lian; Li, Xiaoli; Wang, Kang; Li, Yang

doi:10.1109/chicc.2015.7259614

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…Although the overflow model shows better energy-saving potential than the air-swept model, it has poor adaptability to different working conditions. Due to inappropriate arguments such as the moisture, hardness and particle size in cement raw meal, a series of serious problems regarding product quality, production efficiency and energy consumption could occur on the VRM [15,16]. Therefore, for a VRM, reasonable operating parameters are of great importance to the grinding performance.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Optimization of Grinding Performance of Vertical Roller Mill Based on Experimental Method

et al. 2022

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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.

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Section: Introductionmentioning

confidence: 99%