Abstract : The multi-objective optimization involves multiple, competing functionality requirements, which is mainly limited to downstream detailed design. Axiomatic design provides the theory to design a complex system top down and deals with multiple functional requirements (FR). It has demonstrated its strength in various types of design tasks. In fact, the objective function is a FR and those variables affecting the objective function are the design parameters (DPs). This paper presents an application of axiomatic design to multi-objective optimization. First, identify the relationship between FRs and DPs in terms of contribution of each DP to each FR by using orthogonal experiment and analysis of variance (ANOVA); then identify important design parameters to a FR and classify design variables into groups based on uncoupled design philosophy; and then establish the function dependence table, and sequentially optimize every objective function. An application in a disk brake design is used to demonstrate the use of the proposed method in dealing with real-world design problems. The results show that the proposed method provides a promising approach to optimize multiple, competing design objectives.
Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-370, pp.62-73, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27275-2_7〉
https://hal.inria.fr/hal-01361120
Contributeur : Hal Ifip
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Soumis le : mardi 6 septembre 2016 - 17:04:23
Dernière modification le : mardi 6 septembre 2016 - 17:40:35
Document(s) archivé(s) le : mercredi 7 décembre 2016 - 13:57:08
Zhiqiang Wu, Xianfu Cheng, Junping Yuan. Applying Axiomatic Design Theory to the Multi-objective Optimization of Disk Brake. Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-370, pp.62-73, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27275-2_7〉. 〈hal-01361120〉
