A nonlinear tolerance analysis method using worst-case and Matlab

Mei Qiong Yu, Yan Yan, Jia Hao, Guo Xin Wang

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

1 Citation (Scopus)

Abstract

The tolerance analysis methods are usually used to test the result of product design and assembly; moreover the tolerance analysis also is a fundamental technique in precision design process. So far, there are two kinds of tolerance analysis methods: statistical tolerance analysis and worst-case analysis; they have their own characteristics and drawbacks. In this paper, it presents a nonlinear tolerance analysis method which uses Matlab tool to construct the nonlinear tolerance analysis mathematical formulation and calculate the result of nonlinear tolerance analysis based on the principle of worst-case tolerance analysis. All the processes are dealt with and tested by computer. The engineers only enter some basic parameters through the standardized interface, and then the result can be obtained without artificial intervention. In addition, the accuracy of calculation result meets the production requirement. The system of the nonlinear tolerance analysis is easier for engineers to use.

Original languageEnglish
Title of host publicationAdvanced Manufacturing Systems
Pages247-252
Number of pages6
DOIs
Publication statusPublished - 2011
Event2nd International Conference on Manufacturing Science and Engineering, ICMSE 2011 - Guilin, China
Duration: 9 Apr 201111 Apr 2011

Publication series

NameAdvanced Materials Research
Volume201-203
ISSN (Print)1022-6680

Conference

Conference2nd International Conference on Manufacturing Science and Engineering, ICMSE 2011
Country/TerritoryChina
CityGuilin
Period9/04/1111/04/11

Keywords

  • Dimension chain
  • Matlab
  • Nonlinear tolerance analysis
  • Worst-case

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