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The present study explores the application of generative design in optimizing the nose landing gear of unmanned aerial vehicles (UAVs), focusing on achieving weight reduction and maintaining structural integrity. Advanced computational tools, such as Fusion 360, were utilized to generate design iterations based on specified constraints, including load requirements and material properties. Stress analysis was conducted on the generated designs to evaluate their performance under operational conditions, incorporating failure criteria and safety margins to ensure reliability. A comparative analysis of different materials identified that Aluminum alloy AlSi10Mg is the most effective choice. This generative design process enabled a remarkable 72.34% average mass reduction compared to the original steel landing gear. This significant weight reduction enhances the overall efficiency, fuel economy, and operational performance of the UAVs. This study highlights the potential of generative design as an innovative and production-ready solution for the aerospace industry.

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Design and Optimization of Unmanned Aerial Vehicle Nose Landing Gear Using Generative Design

  • 会议论文

  • 发表日期：

    2026年

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  • Y. Appalanaidu,
  • A. Nikhil Chaitanya,
  • Venkat Kumar Meda

摘要

The present study explores the application of generative design in optimizing the nose landing gear of unmanned aerial vehicles (UAVs), focusing on achieving weight reduction and maintaining structural integrity. Advanced computational tools, such as Fusion 360, were utilized to generate design iterations based on specified constraints, including load requirements and material properties. Stress analysis was conducted on the generated designs to evaluate their performance under operational conditions, incorporating failure criteria and safety margins to ensure reliability. A comparative analysis of different materials identified that Aluminum alloy AlSi10Mg is the most effective choice. This generative design process enabled a remarkable 72.34% average mass reduction compared to the original steel landing gear. This significant weight reduction enhances the overall efficiency, fuel economy, and operational performance of the UAVs. This study highlights the potential of generative design as an innovative and production-ready solution for the aerospace industry.