A Study of Selective Assembly for Product with Multi Mating Features

Abstract:

In order to firstly assure the mating features of high importance during the selective assembly process, a selective assembly method considering the feature weightings is proposed. All of the features are evaluated by fuzzy entropy weight method. Their weight coefficients which present the importance are defined. Based on the dissymmetrical quality loss function and the weight coefficients, the multi-objective model for selective assembly is established. A specific generic algorithm considering target weightings is used to solve the optimization model. It can search the preference region using the Pareto dominant order to derive satisfactory solutions with high quality. Finally, the method is used for the selective assembly of a certain aero engine’s subassembly to invalidate the feasibility.

• Periodical: Applied Mechanics and Materials (Volumes 44-47)
• Pages: 499-505
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.44-47.499
• Online since: December 2010
• Authors: Shui Long Tang, Jian Feng Yu, Yuan Li, Hai Cheng Yang
• Keywords: Multi Mating Feature, Pareto Dominant Order, Quality Loss, Selective Assembly

References

[1] CHENG Xi, LIU Ning, NI Weiguo. Energy and Dynamic Mechanical Manufacture Technology [M]. China Machine PRESS, (2000).

[2] YAMADA Y, KOMURA Y, MIZUTANI J. Development of a precision assembly system using selective assembly and micro machining [J]. Lecture Notes in Computer Science, 1999, 1798：407-413.

DOI: 10.1007/10720123_36

[3] COULLARD C R, GAMBLE A B, JONES P C. Matching problems in selective assembly operations [J]. Annals of Operation Research. 1998, 76: 95-107.

DOI: 10.1023/a:1018960924601

[4] LIU Mingzhou, GUO Jia, LI Qihao. Research on the matching method to assemble the mechanical product with the highly precise cooperation[J]. Chinese journal of mechanical engineering, 2004, 40(6): 165-168.

DOI: 10.3901/jme.2004.06.165

[5] LIU Mingzhou, ZHANG Fengqin, WU JUNfeng, YANG Lanhe, GU Jing. Method of selective assembly about mechanical product based on Taguchi-Quality-Thinking [J]. Chinese journal of mechanical engineering, 2006, 42(10): 127-131.

DOI: 10.3901/jme.2006.10.127

[6] SIVAKUM AR M, KANNAN S. Optimum manufacturing tolerance to selective assembly technique for different assembly specifications by using genetic algorithm [J]. The International Journal of Advanced Manufacturing Technology, 2007, 32(5/6): 591—598.

DOI: 10.1007/s00170-005-0337-x

[7] ZHANG YU, FANG X D. Predict and assure the mathable degree in selective assembly via PCI-based tolerance [J]. Journal of Manufacturing Science and Engineering, 1999, 121(3): 494-500.

DOI: 10.1115/1.2832708

[8] DEB K, AGRAW AL R. Simulated binary crossover for continuous search space [J]. Complex Systems, 1995, 9(2): 115-148.

[9] SHEN Xiaoning, GUO Yu, CHEN Qingwei, HU Weili. A Multi-objective Optimization Genetic Algorithm Incorporating Preference Information[J]. Information and Control, 2007, 36(6): 746-753.

[10] Yao, J.S., Wu, K., 2000. Ranking fuzzy numbers based on decomposition principle and signed distance. Fuzzy Sets and Systems 116, 275–288.

DOI: 10.1016/s0165-0114(98)00122-5

[11] QIU Wanhua. Management Decision and Entropy Application [M]. China Machine PRESS, (2002).