Multi System Level Driving Scenarious Based Topology Optimization of Bracket Design for 2 DoF Vehicle Simulator

Yıl 2023, Cilt: 7 Sayı: 3, 248 - 258, 30.09.2023

Bora Demirci Uğur Demir , Gazi Akgün , Alper Yıldırım , Caner Akuner

https://doi.org/10.30939/ijastech..1244113

Öz

This article presents a topology optimization of the motor mounting bracket in a 2-degree-of-freedom (2 DoF) vehicle simulator that is enhanced by the driving scenari-os. Firstly, a 14 DoF passenger reference application model is determined in the Sim-ulink environment. Then, common driving scenarios (Constant Radius, Double Lane Change, Fishhook, Increasing Steer, Sine with Dwell and Swept Sine) are run on 14 DoF vehicle models to test the dynamic performance of the vehicle. During the anal-ysis, accelerations in the XYZ axes are logged, and the minimum and maximum ac-celeration values on each axis are grouped separately for each driving scenario. Next, the concept design of 2 DoF vehicle simulators is created. The obtained accelerations from the driving scenarios are then run on 2 DoF vehicle simulator in the Solidworks simulation environment, and stress and deformation on the 2 DoF vehicle simulator are analyzed. During this analysis, linear actuator and axis forces are calculated ac-cording to the reaction forces on the vehicle simulator. Under the determined axial forces, the brackets are subjected to topology optimization. The obtained generative design of the bracket is reshaped by post-processing for sustainable production. The shape-optimized bracket is run again on the 2 DoF vehicle simulator with the ob-tained acceleration values from the driving scenarios, and the study is completed by performing stress and deformation analysis.

Anahtar Kelimeler

Generative design, topology optimization, dynamic analysis, driving scenarios

Destekleyen Kurum

Marmara University Scientific Research Projects Commission

Proje Numarası

FYL- 2022-10537

Teşekkür

This work was supported by Marmara University Scientific Research Projects Commission (Project No: FYL- 2022-10537).

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