摘要
为了减小高速压力机机身的振动幅度,提出了基于人工蜂群算法的传动机构的优化方法。介绍了传动机构构型,建立了机身的3自由度振动模型;求解了机身所受的激励载荷和动态响应,并基于机身动态响应建立了传动机构的优化模型;优化机身参数,并确定了参数的取值范围;通过巧妙设置蜜源编码方法和蜜源评价方法,将最优参数求解问题转化为蜂群搜索最优蜜源问题,并使用人工蜂群算法求解了最优参数组合。经验证,优化后的机身在X轴向的振幅减小了24.68%、Y轴向的振幅减小了66.67%,扭转方向的振幅减小了30.13%,综合目标函数减小了31.82%,说明经过参数优化,机身在3个自由度上的振幅大大减小,极大地提高了高速压力机的性能。
In order to reduce the fuselage vibration amplitude of high-speed press,a transmission mechanism optimization method based on artificial bee colony algorithm was proposed.Then,the configuration of the transmission mechanism was introduced,and three-degree of freedom vibration model for fuselage was built.Next,the exciting loads and dynamic response of fuselage were solved,and the optimization model of transmission mechanism based on the fuselage dynamic response was built.Furthermore,the fuselage parameters were optimized and the value ranges of parameters were determined,the nectar source coding method and nectar source evaluation method were ingeniously set to transform the optimal parameter solving problem into the optimal nectar source problem of bee colony searching,and the optimal parameter combination was solved by artificial bee colony algorithm.After verification,the vibration amplitude of optimized fuselage in the X-axis direction is reduced by 24.68%,the vibration amplitude in the Y-axis direction is reduced by 66.67%,the vibration amplitude in the torsion direction is reduced by 30.13%,and the comprehensive objective function is reduced by 31.82%,indicating that the fuselage vibration amplitude in three-degree of freedom reduces greatly through parameters optimization,which greatly improves the performance of high-speed press.
作者
陶翠霞
孙波
赵鹏
Tao Cuixia;Sun Bo;Zhao Peng(Educational Administration Office,Shandong Labor Vocational and Technical College,Jinan 250100,China)
出处
《锻压技术》
CAS
CSCD
北大核心
2021年第8期161-166,共6页
Forging & Stamping Technology
基金
山东省高等学校“青创科技计划”资助项目(2019KJN015)
山东省职业教育技艺技能传承创新平台资助项目。
关键词
高速压力机
传动机构优化
动态响应
人工蜂群算法
振幅
high-speed press
transmission mechanism optimization
dynamic response
artificial bee colony algorithm
vibration amplitude