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Appl. Sci. 2018, 8(1), 126; https://doi.org/10.3390/app8010126

Structural Optimization of a High-Speed Press Considering Multi-Source Uncertainties Based on a New Heterogeneous TOPSIS

1
State Key Laboratory of Fluid Power & Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
2
Key Laboratory of Micro-systems and Micro-structures Manufacturing of Ministry of Education, Harbin Institute of Technology, Harbin 150001, China
*
Authors to whom correspondence should be addressed.
Received: 15 November 2017 / Revised: 11 January 2018 / Accepted: 15 January 2018 / Published: 17 January 2018
(This article belongs to the Section Mechanical Engineering)
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Abstract

In order to achieve high punching precision, good operational reliability and low manufacturing cost, the structural optimization of a high-speed press in the presence of a set of available alternatives comprises a heterogeneous multiple-attribute decision-making (HMADM) problem involving deviation, fixation, cost and benefit attributes that can be described in various mathematical forms due to the existence of multi-source uncertainties. Such a HMADM problem cannot be easily resolved by existing methods. To overcome this difficulty, a new heterogeneous technique for order preference by similarity to an ideal solution (HTOPSIS) is proposed. A new approach to normalization of heterogeneous attributes is proposed by integrating the possibility degree method, relative preference relation and the attribute transformation technique. Expressions for determining positive and negative ideal solutions corresponding to heterogeneous attributes are also developed. Finally, alternative structural configurations are ranked according to their relative closeness coefficients, and the optimal structural configuration can be determined. The validity and effectiveness of the proposed HTOPSIS are demonstrated by a numerical example. The proposed HTOPSIS can also be applied to structural optimization of other complex equipment, because there is no prerequisite of independency among various attributes for its application. View Full-Text
Keywords: high-speed press; structural optimization; uncertainties; heterogeneous TOPSIS (HTOPSIS); normalization; possibility degree method; relative preference relation high-speed press; structural optimization; uncertainties; heterogeneous TOPSIS (HTOPSIS); normalization; possibility degree method; relative preference relation
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Cheng, J.; Zhang, Y.; Feng, Y.; Liu, Z.; Tan, J. Structural Optimization of a High-Speed Press Considering Multi-Source Uncertainties Based on a New Heterogeneous TOPSIS. Appl. Sci. 2018, 8, 126.

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