A Study on Topology Optimization of Aerospace and Automobile Components

2020-28-0388

09/25/2020

Features
Event
International Conference on Advances in Design, Materials, Manufacturing and Surface Engineering for Mobility
Authors Abstract
Content
The advances in computer applications have been increasing in the recent years. The applications of Artificial Intelligence (AI) in the product design software, and the advancements in the Direct Digital Manufacturing (DDM) such as Additive Manufacturing have been leading the aerospace and automobile industries into the next level. AI assisted generative design helps the designers to reduce the weight of the structures without compensating the strength of the structures. The topology optimization is one of the subsets of the generative design which commonly used by the designers to design and redesign many components for weight reduction. This article studies the applications of topology optimization for an aerospace and an automobile components for design modification and weight reduction. The prototype of the optimized components are printed using FDM 3D printing for examining the shape optimization. The stress analyses of the components are analyzed using FEM. The results shows that significant weight reduction is noticed without compensating strength. An aerospace bracket and an automobile gear are taken for the topology optimization studies.
Meta TagsDetails
DOI
https://doi.org/10.4271/2020-28-0388
Pages
7
Citation
Kader Mohideen, F., "A Study on Topology Optimization of Aerospace and Automobile Components," SAE Technical Paper 2020-28-0388, 2020, https://doi.org/10.4271/2020-28-0388.
Additional Details
Publisher
Published
Sep 25, 2020
Product Code
2020-28-0388
Content Type
Technical Paper
Language
English