摘要
基于RSSR机构的无碳小车的轨迹调节缺乏数据参考使得轨迹调节困难的问题,本文在对无碳小车结构方案分析的基础上,采用优化设计方法,提出了一种轨迹高重合度的无碳小车设计方法.首先,基于无碳小车结构方案,建立了小车四杆机构中杆长参数间的函数关系;其次,根据无碳小车运行轨迹的仿真结果,提出了一种轨迹重合度的评价方法;然后,以轨迹重合度最优为目标,以RSSR机构中曲柄、连杆和摇杆的长度为变量,建立了小车运行轨迹的优化模型;最后,利用等分区间法获得了曲柄、连杆和摇杆等参数值的最优组合解,并对优化前后小车运行轨迹进行对比分析,发现优化后的运行轨迹重合度明显优于优化前的运行轨迹.本文建立的轨迹高重合度的无碳小车设计方法对无碳小车的设计具有工程指导意义.
Because of the lack of data reference for the trajectory adjustment of carbonless car based on RSSR mechanism,it was difficult to adjust the trajectory.In view of this problem,based on the analysis of the structure scheme of the carbonless car,the optimization design method was adopted to propose a design method of carbonless car with high trajectory coincidence.Firstly,the functional relationship between the length parameters of the RSSR mechanism was established based on the structure scheme of the carbonless car.Secondly,according to the simulation results of the running track of the carbonless car,an evaluation method of the trajectory coincidencewas proposed.The optimization model,which the trajectory coincidence of the carbonless car was regarded as the objective function and the lengths of the crank,linkage and rocker as variables,was established.Finally,the optimal parameters combination of the crank,linkage and rocker was obtained by using the equal partition method.By compare of the running trajectory coincidence of the optimal car and the initial car,the result shows that the trajectory coincidence of the car with the optimization parameters is better than the inital car.It is illustrated that the optimization design method has engineering significance for the design of the carbonless car.
作者
陈立锋
王林青
朱鹏程
封鸿嶂
田雪峰
Chen Lifeng;Wang Linqing;Zhu Pengcheng;Feng Hongzhang;Tian Xuefeng(School of Mechanical Engineering,Hunan University of Science and Technology,Xiangtan 411201,China;College of Mechanical and Vehicle Engineering,Hunan University,Changsha 410082,China)
出处
《湖南科技大学学报(自然科学版)》
CAS
北大核心
2020年第4期50-55,共6页
Journal of Hunan University of Science And Technology:Natural Science Edition
基金
湖南省教育厅重点资助项目(19A170)
湖南省战略性新兴产业科技攻关与重大科技成果转化资助项目(2018GK4013)。