Topology Optimization of a Cantilever Beam Su...

Topology Optimization of a Cantilever Beam Supported by an AC Outdoor Compressor: Stress, Efficiency, and Material Waste Reduction Analysis Using Fusion 360

Author Name : S. Venkata Sai, G. Lakshmi Subhash, S. Raghava, Guddanti Nilima, Sk. Rahamath Basha

ABSTRACT This project focuses on the application of topology optimization to improve the performance and material efficiency of a cantilever beam supported by an AC outdoor compressor. Topology optimization is a computational design method that helps in minimizing material usage while maintaining structural performance, particularly when subjected to specific loading conditions. The cantilever beam, representing a crucial structural element in the outdoor compressor unit, is initially subjected to a 100kg load during a testing analysis to simulate real-world operating conditions. The analysis in this project is conducted using Fusion 360, which enables precise modeling and evaluation of the beam under the applied loads. The first phase of the project involves conducting a traditional stress analysis on the original cantilever beam to assess its performance and efficiency, focusing on stress distribution, deflection, and overall strength. Subsequently, the second phase applies topology optimization to the beam, removing unnecessary material in regions where the stress is minimal or non existent. The result is a refined, more material-efficient structure that retains its load-bearing capacity and improves overall performance. By comparing the stress, efficiency, and material savings between the conventional design and the optimized beam, this study highlights the potential benefits of topology optimization in reducing material waste and enhancing the structural efficiency of components. Additionally, the analysis seeks to establish how topology optimization can contribute to sustainable manufacturing practices and the reduction of material costs in the design of load-bearing structures in various engineering applications.