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A Method for Identifying Error Sources in Complex Assembly Process Based on Multi-Level Network

[+] Author Affiliations
Guangzhou Diao, Liping Zhao, Yiyong Yao, Sheng Hu

Xi’an Jiaotong University, Xi’an, Shaanxi, China

Paper No. MSEC2014-3964, pp. V001T04A008; 10 pages
  • ASME 2014 International Manufacturing Science and Engineering Conference collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference
  • Volume 1: Materials; Micro and Nano Technologies; Properties, Applications and Systems; Sustainable Manufacturing
  • Detroit, Michigan, USA, June 9–13, 2014
  • Conference Sponsors: Manufacturing Engineering Division
  • ISBN: 978-0-7918-4580-6
  • Copyright © 2014 by ASME


In complex assembly process, there are many error sources which influence the final product quality, so the identification and compensation of error sources are the important ways to improve product quality. The purpose of this paper is to identify the error sources by establishing the relationships between assembly errors and product performance. Firstly, a new concept of multi-level network is proposed to describe the complexity of product structure. Then the multi-level assembly network (MLAN) model is established and its self-organization stability is discussed to explore the influences from assembly errors on product performance. The sensitive fluctuation index (SFI) is defined and calculated to identify the error sources in assembly process. Based on this, the error sensitivity is discussed so that measures for error compensation are made to improve the assembly quality of product. Finally, an assembly experiment about blade rotation is conducted to verify the feasibility of proposed method.

Copyright © 2014 by ASME
Topics: Manufacturing , Errors



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