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作 者:赵丽娟[1] 席娜 王岩[1] 崔旭东 施磊 ZHAO Li-juan;XI Na;WANG Yan;CUI Xu-dong;SHI Lei(School of Mechanical Engineering,Liaoning Technical University,Fuxin 123000)
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:《机械设计》2019年第12期65-71,共7页Journal of Machine Design
基 金:国家自然科学基金资助项目(51674134);辽宁省自然科学基金资助项目(20170540420)。
摘 要:为了有效提高复杂煤层条件下采煤机螺旋滚筒的截割性能,利用离散元仿真软件EDEM建立含夹矸煤岩与螺旋滚筒耦合模型,模拟采煤机截割含夹矸煤岩过程,得到多种工况下采煤机螺旋滚筒的截割性能指标。基于单因素分析法,分析采煤机牵引速度、滚筒转速、叶片螺旋升角、截深等对截割性能指标的影响。分别编写GA-BP网络与遗传算法程序,对截割性能指标进行优化,对比两种优化算法,得到螺旋滚筒最优参数。相比于优化前的结果,使用GA-BP网络优化后采煤机生产率提高了33.3%,截割面积增大了115.6%,虽然最大截割阻力增加了7353.4 N,但截割比能耗降低了24.3%,截割性能整体得到提高。研究结果为探究复杂煤层条件下采煤机螺旋滚筒截割性能提供支撑,对提高煤矿企业的生产效益有重要意义。In order to effectively improve the cutting performance of the shearer’s spiral drum in complex coal seams,the coupling model of coal-rock gangue and spiral drum is set up by means of the discrete-element simulation software EDEM,and the process of cutting the coal-rock gangue is simulated.The cutting-performance indicators of the shearer’s spiral drum under various working conditions are obtained.Based on the single-factor analysis,the effects of the shearer’s traction speed,drum speed,blade spiral angle and depth exerted on the cutting performance are explored.The GA-BP network and genetic algorithm are programmed to optimize the cutting performance.The optimal parameters of the spiral drum are identified by comparing the two optimization algorithms.After the spiral drum is optimized,productivity increases by 33.3%,and the cutting area expands by 115.6%.Although the cutting resistance rises by 7353.4 N,the specific energy consumption reduces by 24.3%,which means that the cutting performance improves as a whole.The results provide support for exploring the cutting performance of shearer’s spiral drum in complex coal seams,and it is of great significance to improve the production efficiency of coal-mining enterprises.
关 键 词:采煤机螺旋滚筒 截割性能 EDEM GA-BP网络
分 类 号:TD421[矿业工程—矿山机电] TH122[机械工程—机械设计及理论]
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