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Enhancing a twist beam suspension system conceptual design using population-based optimization methods

Authors :
Ferruh Öztürk
Erol Solmaz
Emre İsa Albak
Source :
Materials Testing. 62:672-677
Publication Year :
2020
Publisher :
Walter de Gruyter GmbH, 2020.

Abstract

Twist beam suspension systems are usually used in middle segment vehicles due to certain advantages. Researchers have presented many studies on both lightweight and functional twist beam design. In this paper, an optimization study is presented for enhancing the conceptual design of the twist beam by defining design variables along the twist beam as subject to vehicle handling conditions.Toe and camber angles are essential parameters that determine vehicle behavior during maneuvering. In this study, opposite wheel travel analysis is performed to represent maneuvering behavior. Therefore, while the optimization study is presented in the form of weight reduction, it is aimed to keep the toe and camber angles at certain intervals. Ant lion optimizer and mothflame optimization methods, which are population-based optimization methods, are used in the optimization phase to evaluate the performance of the new algorithms as compared with genetic algorithm in terms of robustness and correctness in the case of twist beam design. A two stage approach is introduced for presenting the optimization model and analysis. In the first stage, design space is created via the Latin hypercube method; the mathematical model is obtained via the least squares regression method. Finally, the mathematical model is solved to enhance twist beam conceptual design using recently developed population based optimization algorithms.

Details

ISSN :
21958572 and 00255300
Volume :
62
Database :
OpenAIRE
Journal :
Materials Testing
Accession number :
edsair.doi...........b18baa4600591a8055f7b50d9b4f18dd
Full Text :
https://doi.org/10.3139/120.111532