Work

Employing generative design methods to develop an optimized automotive part

Year: 2025

Type: article

Abstract: This study investigates the potential of generative design for optimizing the structural and aesthetic characteristics of a sports go-kart steering wheel. The objective was to minimize weight while maintaining stiffness, strength, and dimensional accuracy. Using Autodesk Fusion 360, multiple design variants were generated under defined load cases and manufacturing constraints. ASA polymer was selected as the optimal material for FDM-based 3D printing due to its favorable balance of strength, UV resistance, and processability. The final prototype achieved a 60 % mass reduction with validated mechanical performance, demonstrating the effectiveness of generative design and additive manufacturing in lightweight engineering applications. The experimental validation was primarily focused on assessing the structural strength under the maximum applied steering torque, while stiffness was evaluated as a secondary performance indicator.

Source: Results in Engineering

DOI: 10.1016/j.rineng.2025.108701

Authors: Matúš Virostko, Martin Mantič, Jozef Kuľka, Melichar Kopas, Silvia Maláková

Institution: Technical University of Košice

Language: English

Topic: Additive Manufacturing and 3D Printing Technologies

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $1,940