Journal of Mechanical Engineering, Science, and Innovation
Vol 6, No 1 (2026): (April)

Comparison of Manual, AI Generative, and Hybrid Design on Structural Performance and Manufacturing Aspects of Truck Wheel Mounting Aid Frame using FEA in Fusion 360

Aulia, Muhammad Najmul (Unknown)
Nugroho, Dony Satriyo (Unknown)



Article Info

Publish Date
01 May 2026

Abstract

This study compares the structural performance of a truck wheel installation assist frame designed using three approaches: manual design, generative AI design, and hybrid design. The analysis was carried out using Finite Element Analysis (FEA) in Autodesk Fusion 360 with Stainless Steel AISI 304 as the material and a static load of 2,500 N. Performance evaluation was based on von Mises stress, total deformation, and safety factor relative to the material’s yield strength. The simulation results show that the manual design produces a maximum stress of 106.581 MPa, a deformation of 2.557 mm, and a safety factor of 2.017. The generative AI design shows a maximum stress of 1,818.205 MPa, a deformation of 65.634 mm, and a safety factor of 0.118, indicating structural failure. Meanwhile, the hybrid design demonstrates the best performance with a maximum stress of 101.904 MPa, a deformation of 1.664 mm, and a safety factor of 2.11. Therefore, the hybrid design is considered the most suitable option, as it achieves a balance between mass efficiency, structural stiffness, and manufacturability for practical workshop applications. 

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Journal Info

Abbrev

jmesi

Publisher

Subject

Control & Systems Engineering Energy Engineering Mechanical Engineering

Description

Journal of Mechanical Engineering, Science, and Innovation (JMESI) is a peer-reviewed journal in English published two issues per year (in April and October). JMESI dedicated to publishing quality and innovative research in the field of mechanical engineering and science, thereby promoting ...