改进粒子群算法的螺旋钻采煤机钻杆参数优化  

Parameter optimizing of auger coal miner drill stem base on improved particle swarm optimization algorithm

作　　者：刘雨博[1] 段芬[1] 刘思朔[1] LIU Yubo DUAN Fen LIU Sishuo(School of Mechanical Engineering, Liaoning Technical University, Fuxin 123000, China)

机构地区：[1]辽宁工程技术大学机械工程学院,辽宁阜新123000

出　　处：《辽宁工程技术大学学报（自然科学版）》2017年第1期61-64,共4页Journal of Liaoning Technical University (Natural Science)

摘　　要：针对螺旋钻采煤机输送生产率、煤块二次破碎率及能耗问题,根据螺旋钻采煤机输送机构参数,采用改进粒子群算法对螺旋钻采煤机多目标进行优化设计.通过优化得到:螺旋钻采煤机输送生产率提高了25.8%、二次破碎率降低了12.13%,能耗降低了4.97%.极大优化了螺旋钻采煤机输送机构导程、转速、螺旋升角、螺旋叶片厚度以及输送内径等参数,有效提高了螺旋钻采煤机的整机工作性能.Aiming at the existing problems of delivery efficiency, the secondary crushing quantity and energy consumption of auger coal miner, and according to the spiral conveyor device parameters of auger coal miner, this paper optimized the design of auger coal miner multi-objective based on improved particle swarm optimization algorithm. The results obtained by optimization are that delivery efficiency increases by 25.8 %, the secondary crushing rate reduces by 12.13 %, and the energy consumption reduces by 4.97 %, which greatly optimized the parameters of spiral blade lead, speed, helix angle,spiral blade thickness and inner diameter of the spiral conveyor device. Comprehensive performance of auger coal miner is effectively improved.

关 键 词：螺旋钻采煤机 改进粒子群算法 多目标优化 二次破碎率 生产率 能耗 

分 类 号：TD421[矿业工程—矿山机电]