Multi-objective optimization in the vibration characteristics of a hydraulic steering system using a conservative and feasible response surface method

Chang Yong Song; Jongsoo Lee; Ha Young Choi

doi:10.1080/0305215X.2019.1593401

Multi-objective optimization in the vibration characteristics of a hydraulic steering system using a conservative and feasible response surface method

Chang Yong Song, Jongsoo Lee, Ha Young Choi

Department of Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

This article addresses the approximate multi-objective optimum design of an automotive hydraulic steering system based on a multi-body dynamics analysis. The design problem of a hydraulic steering system was formulated to determine the design dimensions of a steering mechanism that is able to estimate the multi-objective Pareto-optimal solutions of weight and vibration frequencies that are subject to the dynamic response constraints of the main steering components. The multi-objective Pareto-optimal solutions were calculated using the non-dominated sorting genetic algorithm-II (NSGA-II) based on various approximate models, and reviewed in terms of exploration performance and constraint feasibility. The multi-objective Pareto-optimal solution characteristics according to the approximate model were reviewed to identify a proper approximate model for the engineering design of a hydraulic steering system. The results of the Pareto solution from the proposed optimization methods could improve the vibration performance as well as the weight reduction of hydraulic steering systems.

Original language	English
Pages (from-to)	465-483
Number of pages	19
Journal	Engineering Optimization
Volume	52
Issue number	3
DOIs	https://doi.org/10.1080/0305215X.2019.1593401
Publication status	Published - 2020 Mar 3

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea [grant numbers 2012R1A1A1002897, 2017R1A2B4009606]. This work is supported by the Ministry of Trade, Industry & ENERGY(MOTIE) through the project for fostering the convergence of industry and academia, and the Basic Science Research Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Science, ICT & Future Planning.

Publisher Copyright:
© 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.

All Science Journal Classification (ASJC) codes

Computer Science Applications
Control and Optimization
Management Science and Operations Research
Industrial and Manufacturing Engineering
Applied Mathematics

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10.1080/0305215X.2019.1593401

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abstract = "This article addresses the approximate multi-objective optimum design of an automotive hydraulic steering system based on a multi-body dynamics analysis. The design problem of a hydraulic steering system was formulated to determine the design dimensions of a steering mechanism that is able to estimate the multi-objective Pareto-optimal solutions of weight and vibration frequencies that are subject to the dynamic response constraints of the main steering components. The multi-objective Pareto-optimal solutions were calculated using the non-dominated sorting genetic algorithm-II (NSGA-II) based on various approximate models, and reviewed in terms of exploration performance and constraint feasibility. The multi-objective Pareto-optimal solution characteristics according to the approximate model were reviewed to identify a proper approximate model for the engineering design of a hydraulic steering system. The results of the Pareto solution from the proposed optimization methods could improve the vibration performance as well as the weight reduction of hydraulic steering systems.",

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note = "Funding Information: This work was supported by the National Research Foundation of Korea [grant numbers 2012R1A1A1002897, 2017R1A2B4009606]. This work is supported by the Ministry of Trade, Industry & ENERGY(MOTIE) through the project for fostering the convergence of industry and academia, and the Basic Science Research Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Science, ICT & Future Planning. Publisher Copyright: {\textcopyright} 2019, {\textcopyright} 2019 Informa UK Limited, trading as Taylor & Francis Group.",

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N2 - This article addresses the approximate multi-objective optimum design of an automotive hydraulic steering system based on a multi-body dynamics analysis. The design problem of a hydraulic steering system was formulated to determine the design dimensions of a steering mechanism that is able to estimate the multi-objective Pareto-optimal solutions of weight and vibration frequencies that are subject to the dynamic response constraints of the main steering components. The multi-objective Pareto-optimal solutions were calculated using the non-dominated sorting genetic algorithm-II (NSGA-II) based on various approximate models, and reviewed in terms of exploration performance and constraint feasibility. The multi-objective Pareto-optimal solution characteristics according to the approximate model were reviewed to identify a proper approximate model for the engineering design of a hydraulic steering system. The results of the Pareto solution from the proposed optimization methods could improve the vibration performance as well as the weight reduction of hydraulic steering systems.

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Multi-objective optimization in the vibration characteristics of a hydraulic steering system using a conservative and feasible response surface method

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