State space model based dimensional errors analysis for rigid part in multistation manufacturing processes

Ying Xue Tong*, Yan Wu, Bin Kuan Ma, Fa Ping Zhang, Ji Ping Lu

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Modeling of variation propagation in multistation machining process is one of the most important research fields . In this paper, a mathematic model to depict the part dimensional variation of the complex multistation manufacturing process is formulated. A linear state space dimensional propagation equation is established through kinematics analysis of the relationships among of locating parameter variation, locating datum variation, so the dimensional error accumulation and transformation within the multistation process are quantitatively described. A systematic procedure to build the model is presented, which enhances the way to determine the variation sources in complex machining systems. Finally, an industrial case of multistation machining part in one manufacturing shop is given to testify the validation and practicability of the method. The analytical model is essential to quality control and improvement for multistation systems in machining quality forecasting and design optimization.

Original languageEnglish
Title of host publicationIEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management
Pages2085-2089
Number of pages5
DOIs
Publication statusPublished - 2010
EventIEEE International Conference on Industrial Engineering and Engineering Management, IEEM2010 - Macao, China
Duration: 7 Dec 201010 Dec 2010

Publication series

NameIEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management

Conference

ConferenceIEEE International Conference on Industrial Engineering and Engineering Management, IEEM2010
Country/TerritoryChina
CityMacao
Period7/12/1010/12/10

Keywords

  • Dimensional errors
  • Multistation manufacturing process
  • State space model
  • Variation propagation

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