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This study employs Altair Inspire for topology optimization of an excavator arm to achieve lightweight design objectives. A simplified CAD model incorporating predefined material properties, operational constraints, and critical loading conditions was established. An initial structural configuration was generated through geometry reconstruction, followed by topology optimization targeting maximum stiffness via iterative finite element simulations. Modal analysis of the baseline design identified key vibration modes, guiding structural refinements to enhance dynamic stability. The optimized model was rigorously validated through comparative assessment of strength indices (including von Mises stress and deformation) and dynamic characteristics (natural frequencies and mode shapes) against the original design. Results confirm a 71.76% mass reduction while the minimum safety factor is greater than or equal to 3.0 under JS-02 operational loads. This methodology demonstrates significant potential for improving energy efficiency and structural sustainability in heavy machinery applications without compromising safety margins. The workflow establishes a replicable framework for topology-driven optimization of complex industrial components.

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Topology Optimization of Excavator Arm Based on Altair Inspire

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

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  • Bohao Su,
  • Junli Sun,
  • Dafeng Long

摘要

This study employs Altair Inspire for topology optimization of an excavator arm to achieve lightweight design objectives. A simplified CAD model incorporating predefined material properties, operational constraints, and critical loading conditions was established. An initial structural configuration was generated through geometry reconstruction, followed by topology optimization targeting maximum stiffness via iterative finite element simulations. Modal analysis of the baseline design identified key vibration modes, guiding structural refinements to enhance dynamic stability. The optimized model was rigorously validated through comparative assessment of strength indices (including von Mises stress and deformation) and dynamic characteristics (natural frequencies and mode shapes) against the original design. Results confirm a 71.76% mass reduction while the minimum safety factor is greater than or equal to 3.0 under JS-02 operational loads. This methodology demonstrates significant potential for improving energy efficiency and structural sustainability in heavy machinery applications without compromising safety margins. The workflow establishes a replicable framework for topology-driven optimization of complex industrial components.