基于人工鱼群算法刨煤机比能耗最低参数优化  

Parameter optimization of lowest energy consumption for plow based on artificial fish school algorithm

作　　者：张强[1,2,3] 付云飞 宋秋爽[2] 袁智[2] 宋振铎 

机构地区：[1]辽宁工程技术大学机械工程学院,辽宁阜新123000 [2]中国煤矿机械装备有限责任公司,北京100011 [3]大连理工大学工业装备结构分析国家重点实验室,辽宁大连116023

出　　处：《广西大学学报（自然科学版）》2012年第2期241-246,共6页Journal of Guangxi University（Natural Science Edition）

基　　金：国家自然科学基金资助项目(51104082);辽宁省优秀人才支持计划(2008RC23);辽宁省教育厅科研项目计划资助(L2010161);工业装备结构分析国家重点实验室开放基金(GZ0818);中国煤炭工业协会科学技术研究指导性计划项目(MTKJ2010-310)

摘　　要：为了减少滑行刨煤机无用功率,提高刨煤机运行能耗利用率,选择刨煤机的刨削深度、刨刀间距、一次循环刨头采高、刨刀宽度为设计参数,以刨煤机刨削机构比能耗最低为优化目标,采用人工鱼群算法对刨煤机刨削机构进行参数优化,优化结构表明:在刨削结构刨头外形尺寸不变且结构强度满足的条件下,刨煤机刨削结构的比能耗减少了7.89%,破碎率上升了1.45%,达到了节能降耗的目的。In order to reduce the plow machine energy consumption,structure parameters of the plow were optimized by using artificial fish school algorithm and by taking the planing depth,planer spacing,mining height,planer width of plow machine as design parameters,and lowest energy consumption of plow machine was chosen as optimal objective.Optimized results indicate that energy consumption of the plow machine reduces by 7.89% and the crushing rate increases by 1.45% under conditions that plow machine dimensions is unchanged and the structural strength and stiffness are ensured.This strategy could be used to achieve energy saving.

关 键 词：人工鱼群算法 滑行刨煤机 比能耗 破碎率 

分 类 号：TD421[矿业工程—矿山机电]