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曲柄驱动双肘杆传动机构的设计与优化
引用本文:严先文,莫健华.曲柄驱动双肘杆传动机构的设计与优化[J].锻压技术,2017,42(6).
作者姓名:严先文  莫健华
作者单位:华中科技大学 材料科学与工程学院,湖北 武汉,430074
基金项目:湖北省先进成形技术及装备工程技术研究中心项目
摘    要:为加工高强度、回弹大的轻量化板材,设计了一种曲柄驱动的立式传动肘杆伺服压力机。采用ADAMS软件对比分析了两种不同传动机构的工作特性。针对曲柄立式传动肘杆机构,通过矢量法建立滑块变速移动特性的运动学方程;运用ADAMS对传动机构各尺寸变量进行敏感度分析,以减少设计变量,再运用遗传算法对传动机构进行多目标优化,以减小滑块最大速度、滑块最大加速度和机构高度为优化目标。研究结果表明,优化后的曲柄立式传动肘杆机构的工作性能有较大提高,滑块最大速度降低了8.5%,滑块最大加速度降低了37.6%,曲柄最大扭矩降低了9%,机构高度降低了1%;同时该机构具有良好的保压性能和急回特性。

关 键 词:伺服压力机  曲柄肘杆机构  多目标优化  遗传算法  ADAMS

Design and optimization on crank-driven double-toggle linkage transmission mechanism
Yan Xianwen,Mo Jianhua.Design and optimization on crank-driven double-toggle linkage transmission mechanism[J].Forging & Stamping Technology,2017,42(6).
Authors:Yan Xianwen  Mo Jianhua
Abstract:A crank-driven servo press with vertical transmission toggle linkage was designed to process lightweight sheet of high strength and large rebound.The transmission mechanisms of two different servo presses were compared and analyzed by ADAMS.For the crank-driven double-toggle linkage transmission mechanism,the kinematic equation about the variable speed characteristics of slider was established by the vector method,and the sensitivity analysis of each dimension variable of transmission mechanism was carried out by ADAMS to reduce design variables.Then,the multi-objective optimization of transmission mechanism was accomplished by genetic algorithm with the optimization targets of reducing the highest speed of slider,the maximum acceleration of slider and the height of mechanism.The results show that the performance of the crank vertical toggle linkage transmission mechanism has been greatly improved after optimization.The maximal speed of slider is reduced by 8.5%,the maximum acceleration of slider is reduced by 37.6%,the maximum crank torque is reduced by 9% and the height of mechanism is reduced by 1%,and the transmission mechanism has a good pressure-retaining capacity and quick recover characteristic.
Keywords:servo press  crank toggle linkage mechanism  multi-objective optimization  genetic algorithm  ADAMS
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