Precision predicting and computer aided adaptive assembly

Weidong Liu*, Jianhua Liu, Ke Jiang, Jie Wang

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Precision predicting is a new methodology for precision verification and validation of product. Considering the dimension and geometric deviation of assembled part, the precision predicting model is built by assembly deviation sources explaining and deviation propagation route modeling. The deviation source during assembly process is mainly explained by dimension torsor and deviation torsor that are built in common coordinate system, and the deviation propagation rout is modeled by weighted deviation graph. The weighted deviation graph contains vertexes that refer to functional geometry and mating geometry and edges that refer to dimension and geometric constraint; besides, the edge weight is calculated by tolerance evaluation along specific functional direction. In addition, the process of computer aided adaptive assembly method is introduced, and the proper index for assembly precision and accuracy is discussed.

Original languageEnglish
Title of host publicationAdvanced Materials
Pages403-409
Number of pages7
DOIs
Publication statusPublished - 2012
Event2nd International Conference on Advances in Materials and Manufacturing Processes, ICAMMP 2011 - Guilin, China
Duration: 16 Dec 201118 Dec 2011

Publication series

NameAdvanced Materials Research
Volume415-417
ISSN (Print)1022-6680

Conference

Conference2nd International Conference on Advances in Materials and Manufacturing Processes, ICAMMP 2011
Country/TerritoryChina
CityGuilin
Period16/12/1118/12/11

Keywords

  • Assembly precision
  • Computer aided adaptive assembly
  • Deviation propagation
  • Deviation source
  • Precision predicting

Fingerprint

Dive into the research topics of 'Precision predicting and computer aided adaptive assembly'. Together they form a unique fingerprint.

Cite this