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This paper employs a topology-dimension cascade optimization method to design the lift AGV body structure for weight reduction. Initially, the force exerted during the load-carrying process of the lift AGV is analyzed. Subsequently, a variable density-based topology optimization method is used to optimize the design of the overall body structure, resulting in the identification of a material distribution scheme. This scheme is subsequently employed to further smooth the structure. The body structure dimension was parameterized based on the new smooth design, and an engineering optimization mathematical model was established. Finally, a discrete global optimization algorithm based on kriging was used for the dimension optimization design. Through the topology-dimension cascade optimization design, the weight of the AGV body structure was reduced from 104.93 kg to 31.83 kg, with a weight reduction of approximately 70%. The results of the study can provide a reference for the design of the AGV body structure.

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Weight Reduction Design of Lift AGV Based on Topology-Dimension Cascade Optimization Approach

  • 会议论文

  • 发表日期：

    2025年

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  • Yijin Zhang,
  • Xiang Mu,
  • Zhanwu Li

摘要

This paper employs a topology-dimension cascade optimization method to design the lift AGV body structure for weight reduction. Initially, the force exerted during the load-carrying process of the lift AGV is analyzed. Subsequently, a variable density-based topology optimization method is used to optimize the design of the overall body structure, resulting in the identification of a material distribution scheme. This scheme is subsequently employed to further smooth the structure. The body structure dimension was parameterized based on the new smooth design, and an engineering optimization mathematical model was established. Finally, a discrete global optimization algorithm based on kriging was used for the dimension optimization design. Through the topology-dimension cascade optimization design, the weight of the AGV body structure was reduced from 104.93 kg to 31.83 kg, with a weight reduction of approximately 70%. The results of the study can provide a reference for the design of the AGV body structure.