Optimization of Typical Grinding Model and the Simulation of Grinding Process Numerical

Article Preview

Abstract:

Based on the actual conditions during industrial production, this paper proposes an improvement method and solution to the typical grinding process model and derives a mathematical model of grinding process that’s suitable for industrial production. Sampling analysis and laboratory experiments of the production process were conducted, the derived model was tested, and the results show that particle size distribution curve obtained from the improved model is similar to the actual product, which means that the improved model can be applied to simulate industrial grinding process.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 287-290)

Pages:

558-563

Citation:

Online since:

July 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Shaojian Ma, Jianxin Chen:Comment upon grinding optimization research: Mining & Processing Equipment,Vol. 4 (2000), pp.17-19.

Google Scholar

[2] Bingchen Chen: Grinding Principle (Metallurgical industry press, Beijing 1989).

Google Scholar

[3] Wei J L, Wang J H, Wu Q H: Development of a multisegment coal mill model using an evolutionary computation technique. IEEE Transactions on Energy Conversion. Vol. 22(3) (2007), pp.718-727.

DOI: 10.1109/tec.2007.895459

Google Scholar

[4] Yali Kuang , Qinru Chen, LYNCH A J: Simulation of the milling process using a vertical roller mill. Journal of China Coal Society, Vol. 32 (2007), pp.429-432.

Google Scholar

[5] Shanfa Gu, Ping Xu: Application of prediction control algorithm in grinding Grade. Industry and Mine Automation. Vol. 5 (2003) pp.21-23.

Google Scholar

[6] Guichun He, Yiping Mao, Wen Ni: Multiple neural networks based soft sensing model for particle size of grinding product. Metal Mine. Vol. 2(1) (2005), pp.47-49.

Google Scholar

[7] Xiaodong Zhang, Wei Wang, Xiao Gang: Research of the particle size neural network soft sensor for concent ration process. Control Theory & Applications.Vol. 19(1) (2002), pp.85-88.

Google Scholar

[8] LYNCH A J. Mineral crushing and grinding circuits: Their simulation, optimization, design and control. New York: Elsevier. (1977), p.340.

Google Scholar