首页|基于响应面法的螺栓拉伸器缸体优化设计

基于响应面法的螺栓拉伸器缸体优化设计

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螺栓拉伸器是大尺寸螺栓预紧常用的工具,其失效往往发生在缸体应力集中处.为保证其具有一定的强度,在理论设计中将其尺寸设计裕量增大来保证其安全性.这样会导致体积增大,需要对缸体进行优化设计,但使用传统方式设计费时费力.针对这个问题构建缸体三维模型并进行静力学有限元分析,再使用Solidworks和Ansys联合仿真将缸体的尺寸参数化,利用参数敏感性筛选出影响优化目标的关键参数,将其作为输入参数进行试验设计,通过最佳空间填充设计选择样本点后,使用克里格法拟合响应面,最后应用多目标优化算法求出最优解.优化结果表明,优化后的结构满足强度要求、疲劳设计要求,质量降低10.7%,还找出缸体响应面优化的最优试验方法,对螺栓拉伸器缸体轻量化设计提供一定的参考价值.
Optimization design of bolt tensioner cylinder body based on response surface methodology
Bolt stretcher is a commonly used tool for pre tightening large-sized bolts,and its failure often occurs at the stress concentration of the cylinder body.To ensure its strength,in theoretical design,the size design margin is increased to ensure its safety.This will lead to increase the volume of the cylinder body,and thus it is necessary to optimum design of the cylinder body.However,traditional design methods are time-consuming and laborious.This article constructs a three-dimensional model of the cylinder body and conducts static finite element analysis.Then,the sizes of the cylinder body are parameterized by Solidworks and Ansys joint simulation,and key parameters that affect optimization objectives are screened out using parameter sensitivity.These parameters are used as input parameters for experimental design,after selecting sample points through optimal space filling design,fitting the response surface using Kriging method,and finally the optimal solution are obtained by multi-objective optimization algorithm.Kriging method is used to fit the response surface,and finally multi-objective optimization algorithm is applied to find the optimal solution.The optimization results show that the optimized structure meets the strength requirements,fatigue design requirements,and reduces quality by 10.7%.The optimal experimental method for optimizing the response surface of the cylinder block is also found,it provides a certain reference value for the lightweight design of the bolt tensioner cylinder block.

bolt tensionerresponse surface methodologyoptimize designparameter sensitivity

郭新博、苏东海、王海啸、齐宇轩

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沈阳工业大学机械工程学院, 辽宁 沈阳 110870

螺栓拉伸器 响应面法 优化设计 参数敏感性

2024

重型机械
中国重型机械研究院股份公司

重型机械

影响因子:0.213
ISSN:1001-196X
年,卷(期):2024.(1)
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