Rapidly planning approach based on CBR for AO of mechanical product

Kaifu Zhang, Zhongqiang Wang, Ping Liu, Yuan Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

During the process of developing product, AO directly affects assembly efficiency and assembly quality for mechanical product. Usually, new mechanical product is developed according to the knowledge and experience. So it is very important how to utilize the knowledge and experience to plan the AO. This paper presents a planning approach based on CBR for AO of mechanical product. Firstly, a method based on hierarchy model represents AO cases. And we store the AO cases into the AO Case Library to accumulate the knowledge and experience of assembly process. Secondly, the Euclidean distance is applied to calculate the similar characteristic between the component of AO of Query (AOQ) and the component of the AO cases in the Library. When some distances are less than the value, the corresponding AO cases are selected to the next calculation. Thirdly, the Manhattan distance is applied to calculate the similar characteristic between AOQ and the selected AO cases. When the distance is minimal, the optimal AO case is obtained. The approach is applied successfully to plan AO for a part of aircraft's wing.

Original languageEnglish
Title of host publicationDigital Design and Manufacturing Technology
Pages781-785
Number of pages5
DOIs
StatePublished - 2010
Event2010 Global Conference on Digital Design and Manufacturing Technology - Hangzhou, Zhejiang, China
Duration: 26 Apr 201028 Apr 2010

Publication series

NameAdvanced Materials Research
Volume102-104
ISSN (Print)1022-6680

Conference

Conference2010 Global Conference on Digital Design and Manufacturing Technology
Country/TerritoryChina
CityHangzhou, Zhejiang
Period26/04/1028/04/10

Keywords

  • Assembly Order (AO)
  • Case representation
  • Case researching
  • Case-Based Reasoning (CBR)

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