中国机械工程2018，Vol.29Issue(5)：591-596,6.DOI:10.3969/j.issn.1004-132X.2018.05.014
基于遗传算法的采煤机螺旋滚筒多目标优化设计
Shearer's Helical Drum Multi-objective Optimization Design Based on GA
摘要
Abstract
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 struc-ture 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 e-valuation function were established.Helix angle,cutting line spacing,speed and traction speed were selected as design variables,multi-obj ective 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 re-duces 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 re-search provides the data support of the structure and motion parameters'selection,it has certain engi-neering application values.关键词
采煤机/螺旋滚筒/综合性能/多目标优化/遗传算法Key words
shearer/helical drum/comprehensive performance/multi-objective optimization/ge-netic algorithm (GA)分类
矿业与冶金引用本文复制引用
赵丽娟,范佳艺..基于遗传算法的采煤机螺旋滚筒多目标优化设计[J].中国机械工程,2018,29(5):591-596,6.基金项目
国家自然科学基金资助项目(51304105,51674134) （51304105,51674134）
