Optimal assembly tolerance design based on fuzzy information entropy and seeker optimization algorithm

Author

Zhijie, Zhao ; Yuan, Li ; Jianfeng, Yu ; Shuilong, Tang

Author_Institution

Key Lab. of Contemporary Design & Integrated Manuf. Technol., Northwestern Polytech. Univ., Xi´´an, China

Volume

5

fYear

2010

fDate

20-22 Aug. 2010

Abstract

The design of assembly tolerance is directly related to the product quality and product manufacturing cost. In order to carry out a reasonable distribution of the assembly tolerance, this paper considers synthetically the product quality loss and product processing cost. The fuzzy weight of the quality loss and product processing cost is calculated based on fuzzy number. Meanwhile, the weight of experts is determined by information entropy in order to decrease the subjective arbitrariness of experts. Finally, seeker optimization algorithm is used to solve the problem of assembly tolerance distribution. This method is tested on a certain type of aircraft component, and the result shows its practicality.

Keywords

assembling; entropy; fuzzy set theory; optimisation; product development; quality control; assembly tolerance distribution problem; experts weight; fuzzy information entropy; fuzzy number; fuzzy weight; optimal assembly tolerance design; product manufacturing cost; product processing cost; product quality; seeker optimization algorithm; Assembly; Seeker optimization algorithm; entropy; fuzzy numbers; tolerance;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on

Conference_Location

Chengdu

ISSN

2154-7491

Print_ISBN

978-1-4244-6539-2

Type

conf

DOI

10.1109/ICACTE.2010.5579339

Filename

5579339