基于多目标遗传算法的三轴振动夹具结构参数优化设计分析

Structural optimization design and analysis of triaxial vibration fixture based on multi-objective genetic algorithm

  • 摘要: 通过建立三轴振动夹具优化设计数学模型,以影响夹具性能的结构尺寸为设计变量,以振动台尺寸约束和夹具质量要求为约束条件,采用SolidWorks和ANSYS Workbench协同仿真技术,基于多目标遗传算法实现了振动夹具的轻量化和一阶固有频率最大化。优化后的三轴振动夹具一阶固有频率提高了7.4%,同时夹具的质量减小了20.1%,证明文章所提出的协同仿真技术手段与优化设计方法可行、有效,可为其他同类产品的优化设计提供参考。

     

    Abstract: The multi-objective optimization design of a triaxial vibration fixture is made through a mathematical model with the double objective optimization to maximize the first-order natural frequency of the fixture at a minimal weight. Three structural dimensions that significantly affect the dynamic performance of the fixture are chosen as the design variables under the constraint of the structural boundaries and the fixture mass. By combining the simulation with the SolidWorks and the ANSYS Workbench, and with the multi-goal genetic algorithm, a desirable optimization result is obtained, where the first-order natural frequency rises by 7.4% with a mass reduction of 20.1% at the same time. It is shown that the co-simulation technology and the optimization design method described in this paper are effective, and may also provide some reference for the optimization design of similar products.

     

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