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http://dx.doi.org/10.7315/CADCAM.2013.359

Tolerance Optimization of Design Variables in Lower Arm by Using Response Surface Model and Process Capability Index  

Lee, Kwang Ki (Consulting Team, VP KOREA)
Ro, Yun Cheol (Department of Mechanical Engineering, Dong-A University)
Han, Seung Ho (Department of Mechanical Engineering, Dong-A University)
Publication Information
Korean Journal of Computational Design and Engineering / v.18, no.5, 2013 , pp. 359-366 More about this Journal
Abstract
In the lower arm design process, a tolerance optimization of the variance of design variables should be preceded before manufacturing process, since it is very cost-effective compared to a strict management of tolerance of products. In this study, a design of experiment (DOE) based on response surface model (RSM) was carried out to find optimized design variables of the lower arm, which can meet a given requirement of probability constraint for the process capability index (Cpk) of the weight and maximum stress. Then, the design space was explored by using the central composite design method, in which the 2nd order Taylor expansion was applied to predict a standard deviation of the responses. The optimal solutions satisfying the probability constraint of the Cpk were found by considering both of the mean value and the standard deviation of the design variables.
Keywords
Design of experiment; Desirability function; Finite element analysis; Lower arm; Process capability index; Response surface model; Tolerance optimization;
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Times Cited By KSCI : 4  (Citation Analysis)
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