Shearer's Helical Drum Multi-objective Optimization Design Based on GA

被引:5
|
作者
Zhao L. [1 ]
Fan J. [1 ]
机构
[1] College of Mechanical Engineering, Liaoning Technical University, Fuxin, 123000, Liaoning
来源
| 2018年 / Chinese Mechanical Engineering Society卷 / 29期
关键词
Comprehensive performance; Genetic algorithm (GA); Helical drum; Multi-objective optimization; Shearer;
D O I
10.3969/j.issn.1004-132X.2018.05.014
中图分类号
学科分类号
摘要
In order to realize shearer's helical drum optimal comprehensive performances of cutting and loading, the changing of cutting performance indexes and the loading rate changed with the structure and motion parameters were obtained based on the virtual prototype technology and the theory of discrete element. On the basis of mechanical optimization design theory, the performance indexes of evaluation function were established. Helix angle, cutting line spacing, speed and traction speed were selected as design variables, multi-objective optimization model with different performance indexes were established, the optimal structure parameters and motion parameters were obtained by GA. The results show that the biggest drum cutting area increases 247 mm2, specific energy consumption reduces 0.014 kW•h/m3, cutting power reduces 10.8 kW, cutting resistance decreases 7085 kN and the loading rate improves 1.7 %, it enhances the comprehensive performance of drum effectively. The research provides the data support of the structure and motion parameters' selection, it has certain engineering application values. © 2018, China Mechanical Engineering Magazine Office. All right reserved.
引用
收藏
页码:591 / 596
页数:5
相关论文
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