摘要
为了研究刨煤机在斜切工况下的动态特性,推导了刨刀斜切进刀时截割煤壁深度以及刨刀参加截割的条件,并采用有限元法建立了刨煤机动力学模型。对斜切工况下刨煤机动力学特性进行了数值仿真分析,得到了斜切工况下的刨头、链条的速度波动曲线及张力波动曲线;以刨头进刀速度以及中部槽摆角为设计变量,以为单位能耗最小及载荷波动率最小为目标函数,采用多种群遗传算法对其进行优化,得到刨煤机最优进刀速度为1.2 m/s,中部槽最优摆角为1°,1°,0.7°,研究结果为刨煤机在工程中的应用提供了理论基础。
To research the dynamic character of plough under oblique cut conditions, the cutting coal wall depth of planing tool and the condition of participate in cutting were derived. The dynamic model of plough was established by finite element method. The numerical simulation analysis of dynamic character of plough was executed, velocity and tension fluctuation curve of plow head and chains were obtained. Take feeding velocity and middle trough swing angle as design variables, and take minimal unit energy consumption and minimal load fluctuation rate as objective function. The Optimal design was executed by the method of multi-population genetic algorithm. The results are obtained that the optimal feeding velocity is h 2m/s, and middle trough optimal swing angle are 1 °, 1 ° ,0. 7°. The results provide theoretical basis for coal plough in engineering.
出处
《机械强度》
CAS
CSCD
北大核心
2017年第3期500-504,共5页
Journal of Mechanical Strength
基金
国家能源研发(实验)中心重大项目(2010_215)资助~~
关键词
斜切工况
优化设计
刨煤机
遗传算法
Oblique cut condition
Optimization design
Plough
Genetic algorithm
