Design Parameters Optimization of Cutting Head of Cantilever Roadheader Based on Genetic Algorithm

Article Preview

Abstract:

For hard rocks whose protodyakonov scale of hardness f are greater than 8, research on the optimization design of cutting head of cantilever roadheader. Optimization model of the cutting head was established, in this model, the objective function was established based on dust mount, energy consumption and production efficiency. The design variables contain cutting head structural and kinetic parameters, the constraints are determined in accordance with working condition and practical experience. Cutting head parameters are optimized with parameters change related to rock strength, using genetic algorithm in Matlab7.0. A variety of cutting parameters optimization results related to rock strength are of great significance for the structural design of the cutting head and selection of kinetic parameters.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

193-196

Citation:

Online since:

November 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Xin Zhang, Jian-wu Zhang. Optimization design of cutting pick arrangement parameters of roadheader based on Minimum load fluctuations,2005.in Chinese.

Google Scholar

[2] Xin Zhang, Qing-liang Zeng. Research on multi-objective optimization design of the cutting pick of roadheader. Coal mining machinery, 2005.in Chinese.

Google Scholar

[3] Ortner, Peter. Developments in surface and underground mining equipment at Voest Alpine Bergtechnik Gdes.m.b.H.[J].Journal of Mines,Metals&Fuels.1996.

Google Scholar

[4] Simmons, Marvin. Performance of Road headers at Harlan, Ky, Diversion Tunnels[J]. International Journal of Rock Mechanics and Mining Sciences & Geomechani cs Abstacts.1993.

DOI: 10.1016/0148-9062(93)90143-2

Google Scholar

[5] Gang Shang, Luo Zhong. Research of GA application in structure design. Journal of Wuhan University of technology. 2003. in Chinese.

Google Scholar