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作 者:伍建军 周敏 章仕磊 WU Jian-jun;ZHOU Min;ZHANG Shi-lei(Tianfu New Energy Research Institute,Chengdu 610000,China;School of Mechanical and Electrical Engineering,Jiangxi University of Technology,Ganzhou 341000,China)
机构地区:[1]天府新能源研究院,成都610000 [2]江西理工大学机电工程学院,赣州341000
出 处:《科学技术与工程》2023年第30期12951-12957,共7页Science Technology and Engineering
基 金:国家自然科学基金(51665017)。
摘 要:为了解决传统桥式放大机构的静力学建模中混淆了菱形结构和桥式结构的区别,以及忽略了刚性连杆变形的问题,通过欧拉-伯努利梁理论和能量守恒定律来计算放大倍数,使用ANSYS Workbench对各种理论模型计算的精度进行验证和对比。此外,通过径向基函数(RBF)神经网络模型和多岛遗传算法(MIGA)对桥式放大机构的参数进行优化。通过仿真分析结果表明,采用欧拉-伯努利梁理论与能量守恒定律计算的放大倍数与仿真值最接近,优化后的放大倍数增大了16.0%,固有频率增大了19.7%,可见所提出的理论模型和优化方法有效。In order to solve the problem of confusing the difference between rhombus structure and bridge structure in the static modeling of traditional bridge amplification mechanism,and ignoring the deformation of rigid link,the amplification factor was calcula-ted by Euler-Bernoulli beam theory and energy conservation theory,and the accuracy of each theoretical model was verified and compared by using ANSYS Workbench.In addition,the radial basis function(RBF) neural network model and multi-island genetic algorithm(MIGA) were used to optimize the parameters of the bridge amplifier.The results of simulation analysis show that the amplification factor calculated by using Euler-Bernoulli beam model and energy conservation law is the closest to the simulation value.The optimized amplification factor increases by 16.0% and the natural frequency increases by 19.7%.It can be seen that the proposed theore-tical model and optimization method are effective.
关 键 词:桥式放大机构 放大倍率 径向基函数神经网络 多岛遗传算法 参数设计
分 类 号:TH112[机械工程—机械设计及理论]
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