基于NSGA-Ⅱ算法的龙门横梁多目标结构优化

Multi-Objective Structure Optimization of Gantry Beam based on NSGA-II Algorithm

  • 摘要: 数控龙门横梁作为主要承载结构,高刚度、轻量化设计是其追求的目标。为实现横梁的轻量化设计,采用ANSYS仿真平台对两种横梁结构进行静动态分析,对比静动态结果。结果表明,十型横梁在变形量、应力和固有频率等方面优于鼠笼型,具有较大优化潜力。基于响应面模型和非支配排序遗传算法Ⅱ,对十型横梁进行了多目标优化设计。在满足要求的前提下,最终使横梁质量减轻了335.5 kg,约占原重量的7.34%,为数控机床轻量化和高性能设计研究提供参考。

     

    Abstract: As the main bearing structure, the CNC gantry beam is the goal of high stiffness and lightweight design. In order to realize the lightweight design of the beam, ANSYS simulation platform is used to analyze and compare the static and dynamic results. The results show that the ten-type beam is better than the rat cage type in terms of deformation, stress and natural frequency, which has great optimization potential. Based on the response surface model and non-dominant ranking genetic algorithm. Under the premise of meeting the requirements, the beam mass was finally reduced by 335.5 kg, accounting for about 7.34% of the original weight, which provided a reference for the lightweight and high-performance design research of CNC machine tools.

     

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