DocumentCode
2966820
Title
Multi-objective Optimization Design for Plow Body Based on Improved Genetic Algorithm and Fuzzy Theory
Author
Jun, Mao ; Yong, Hao Zhi
Author_Institution
Coll. of Mech. Eng., Liaoning Tech. Univ., Fuxin, China
Volume
2
fYear
2011
fDate
28-29 March 2011
Firstpage
1126
Lastpage
1129
Abstract
In view of the coal plow of the load and energy consumption question, optimized the cutting and parameter movement for plow body of on improved genetic algorithm multi-objective optimization strategy. The optimized results indicate that the cutting consumption reduces 16.96%, productivity capability rises 23.38%, loading area uniformity rises 16.62%, productivity capability of coal plow obtains obviously rise, and cutting energy consumption of plow body are reduced.
Keywords
design engineering; energy consumption; fuzzy set theory; genetic algorithms; mining equipment; mining industry; cutting consumption; energy consumption; fuzzy theory; genetic algorithm; multiobjective optimization design; plow body design; Coal; Energy consumption; Face; Genetic algorithms; Loading; Optimization; Production; coal plow; energy consumption; improved genetic algorithm; multi-objective optimization; plow body;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location
Shenzhen, Guangdong
Print_ISBN
978-1-61284-289-9
Type
conf
DOI
10.1109/ICICTA.2011.567
Filename
5751092
Link To Document