Optimizing Drone Construction: Topology Optimization and Generative Design | IEEE Conference Publication | IEEE Xplore

Optimizing Drone Construction: Topology Optimization and Generative Design


Abstract:

This study investigates and compares the efficacy of two cutting-edge design methodologies, namely topology optimization and generative design, in the context of optimizi...Show More

Abstract:

This study investigates and compares the efficacy of two cutting-edge design methodologies, namely topology optimization and generative design, in the context of optimizing drone construction. Drones play a pivotal role in numerous industries, and enhancing their design efficiency is crucial for improved performance and functionality. The research focuses on evaluating the advantages, limitations, and implications of these methodologies with respect to design complexity, manufacturability, and overall performance. The findings provide valuable insights for engineers seeking optimal solutions in the construction of drones. The proposed work provides a comparative assessment of topology optimization and generative design methodologies in the field of drone designing. By thoroughly exploring the comparative assessment of topology optimization and generative design, this study aims to provide engineers with a roadmap for making informed decisions in the design and construction of efficient and high-performance drones.
Date of Conference: 21-23 June 2024
Date Added to IEEE Xplore: 03 September 2024
ISBN Information:
Conference Location: Prayagraj, India

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