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Mathematical Problems in Engineering
Volume 2018 (2018), Article ID 3159637, 14 pages
https://doi.org/10.1155/2018/3159637
Research Article

A Systematic Optimization Design Method for Complex Mechatronic Products Design and Development

1School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China
2Department of Design, Northumbria University, Newcastle upon Tyne NE1 8ST, UK

Correspondence should be addressed to Jian Zhang and Shengfeng Qin

Received 11 October 2017; Accepted 24 December 2017; Published 11 February 2018

Academic Editor: Qian Zhang

Copyright © 2018 Jie Jiang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Designing a complex mechatronic product involves multiple design variables, objectives, constraints, and evaluation criteria as well as their nonlinearly coupled relationships. The design space can be very big consisting of many functional design parameters, structural design parameters, and behavioral design (or running performances) parameters. Given a big design space and inexplicit relations among them, how to design a product optimally in an optimization design process is a challenging research problem. In this paper, we propose a systematic optimization design method based on design space reduction and surrogate modelling techniques. This method firstly identifies key design parameters from a very big design space to reduce the design space, secondly uses the identified key design parameters to establish a system surrogate model based on data-driven modelling principles for optimization design, and thirdly utilizes the multiobjective optimization techniques to achieve an optimal design of a product in the reduced design space. This method has been tested with a high-speed train design. With comparison to others, the research results show that this method is practical and useful for optimally designing complex mechatronic products.