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Experimental design and analysis of matching design

Angus Jeang (Department of Industrial Engineering and Systems Management, Feng Chia University, Taichung, Taiwan)
Chang Pu Ko (Department of Industrial Engineering and Systems Management, Feng Chia University, Taichung, Taiwan)
Chien-Ping Chung (Department of Business Administration, MingDao University, Changhua, Taiwan)
Francois Liang (Department of Industrial Engineering and Systems Management, Feng Chia University, Taichung, Taiwan)
Guan-Ying Chen (Department of Industrial Engineering and Systems Management, Feng Chia University, Taichung, Taiwan)

International Journal of Quality & Reliability Management

ISSN: 0265-671X

Article publication date: 5 August 2019

Abstract

Purpose

This study considers the five factors of a car rotation system: angle (F1), arm length (F2), toe in and out (F3), width (F4) and length (F5). The purpose of this paper is to fine tune the design so it produces the smoothest response to various rotation angles.

Design/methodology/approach

In the case of Ackerman’s principle, the response surface methodology (RSM) was used to analyze data when encountering different quality characteristics at various rotation angles.

Findings

In this study, RSM was used to obtain the best factor and the best reaction value for the five factors of a car rotation system.

Practical implications

In this study, the four-wheel steering of a car is taken as an example. When the current wheel is turned, the intersection of the left and right wheels of the front axle falls on the extension line of the rear wheel. In this case, the steering will be the smoothest. In this example, we selected angle (F1), arm length (F2), toe in and out (F3), width (F4) and length (F5) as experimental factors, hoping to satisfy the Ackerman principle.

Social implications

Traditionally, when dealing with four-wheel steering problems, solutions may be based on past experience or on new information used to formulate R&D plans. In this study, the combination of statistical factors and optimization is used to find the optimal combination of factors and the relationship between factors.

Originality/value

In the past, most literature relied on kinematics to study the car rotation system due to a lack of experimental design and analysis concepts. However, this study aims to achieve the above goals in finding the solution, which can be used to predict reaction values.

Keywords

Citation

Jeang, A., Ko, C.P., Chung, C.-P., Liang, F. and Chen, G.-Y. (2019), "Experimental design and analysis of matching design", International Journal of Quality & Reliability Management, Vol. 36 No. 7, pp. 1078-1087. https://doi.org/10.1108/IJQRM-07-2018-0200

Publisher

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Emerald Publishing Limited

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