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针对传统优化方法在精度和效率方面存在的不足,提出了基于响应面模型的结构优化方法。以液压滚切剪的连杆机构为研究对象,利用超拉丁试验设计选择合适的设计变量,结合结构有限元分析,在保证刚度、强度的前提下,以连杆的整体质量为目标函数,建立多项式响应面模型,然后利用遗传算法对所建立的模型进行优化求解,得出最佳的参数组合。结果表明,优化后的零件在重量上比原结构减轻了25.41%。证明了该方法的有效性。
Aiming at the shortcomings of traditional optimization methods in accuracy and efficiency, a structural optimization method based on response surface model is proposed. Taking the hydraulic bar cutter as the research object, this paper selected the appropriate design variables by super-latin test design, combined with the finite element analysis of the structure, under the premise of ensuring the rigidity and strength, the overall mass of the connecting rod as the objective function Polynomial response surface model, and then use genetic algorithm to optimize the model established to obtain the best combination of parameters. The results show that the optimized parts are 25.41% lighter than the original structure. The validity of this method is proved.