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Title:Optimization design on dimension of six-link mechanism based on genetic algorithm
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ClassificationCode:TH112
year,vol(issue):pagenumber:2022,47(7):184-193
Abstract:

 In order to make the press have better performance, the main drive mechanism needs to be optimally designed in terms of dimensions. Therefore, a complete set of comprehensive optimization design model for the six-link drive mechanism was constructed. Firstly, a kinematic and dynamic model was established, and the four aspects of motion stability, force transmission performance, position accuracy and force enhancement characteristics for the mechanism were analysed. Then, taking slider speed fluctuation, pressure angle, lateral force and mechanical gain of mechanism as the optimized performance indicators, the multi-objective optimization function reflecting the comprehensive performance was constructed by unified dimensional and linear weighting approach, and through introducing geometric, position and stroke constraints and adding constraints such as the working space of press and the non-interference of rod, the multi-objective optimization design was completed by the genetic algorithm. The results show that the optimized transmission mechanism reduces the speed fluctuation by 20.71%, reduces the maximum lateral force by 9.34%, and reduces the maximum pressure angle by 9.16%, and reduces the maximum mechanical gain by 5.52% during working stage, which effectively improves the comprehensive forging performance of the press.

 
Funds:
国家自然科学基金资助项目(U19A20101)
AuthorIntro:
作者简介:吕明青(1996-),男,硕士研究生 E-mail:lvvmq@bjfu.edu.cn 通信作者:邵珠峰(1983-),男,博士,副教授 E-mail:shaozf@tsinghua.edu.cn
Reference:

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