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Generative design (GD) has shown promise as an advanced automated computer-aided design (CAD) method that incorporates artificial intelligence (AI) to create new product designs. GD generates potential designs that streamline the design process. This research examines GD and the various algorithms associated with it for generating a quadcopter chassis similar to the DJI F450. The cloud-based platform Autodesk Fusion 360 is utilized to generate myriad possible quadcopter chassis designs that replicate the loads and boundary conditions of a commercial DJI F450 chassis. All the generated designs are compared against the desired properties of the final design. This study compares the top two designs, and the best design is selected for analyzing the computational results. Compared to the DJI F450 drone frame, the computed results reveal a weight reduction of 42 g, enabling a larger capacity battery that extends the flight time. This translates to an increase in the drone’s mission time by approximately 60 s, which is particularly valuable for agricultural operations, farmers, flying operators, and other engineering and defence applications.

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Optimizing Quadcopter Chassis Through Generative Design: A Novel Approach

  • 会议论文

  • 发表日期：

    2025年

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  • Utkarsh Sharma,
  • Vatanjeet Singh,
  • Bisheshwar Haorongbam,
  • Anshul Sharma,
  • Rajnish Mallick

摘要

Generative design (GD) has shown promise as an advanced automated computer-aided design (CAD) method that incorporates artificial intelligence (AI) to create new product designs. GD generates potential designs that streamline the design process. This research examines GD and the various algorithms associated with it for generating a quadcopter chassis similar to the DJI F450. The cloud-based platform Autodesk Fusion 360 is utilized to generate myriad possible quadcopter chassis designs that replicate the loads and boundary conditions of a commercial DJI F450 chassis. All the generated designs are compared against the desired properties of the final design. This study compares the top two designs, and the best design is selected for analyzing the computational results. Compared to the DJI F450 drone frame, the computed results reveal a weight reduction of 42 g, enabling a larger capacity battery that extends the flight time. This translates to an increase in the drone’s mission time by approximately 60 s, which is particularly valuable for agricultural operations, farmers, flying operators, and other engineering and defence applications.