Performance improvement for high accuracy assembly process in manufacturing automation

Heping Chen, Hongtai Cheng, Jian Liu, Biao Zhang, George Zhang, Tom Fuhlbrigge

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

High precision assembly processes using industrial robots require the process parameters to be tuned in order to achieve desired performance such as cycle time and First Time Through (FTT) rate. Some researchers proposed methods such as Design-of-Experiment (DOE) to obtain optimal parameters. However, these methods only discuss how to find the optimal parameters if the part and/or workpiece location errors are in a certain range. In real assembly processes, the part and/or workpiece location errors could be different from batch to batch. Therefore the existing methods have some limitations. In this paper, the parameter optimization process based on DOE with different part and/or workpiece location errors are investigated. Experimental results demonstrate that the optimal parameters for different initial conditions are different and larger initial part and/or workpiece location errors will cause longer cycle time. Therefore, in order to improve the assembly process performance, the initial part and/or workpiece location errors should be compensated first and the optimal parameters in production should be changed once the initial tool position is compensated. An online parameter optimization method is also proposed. Experiments were performed to validate the proposed method and the results show that the proposed method is very promising in reducing the cycle time in assembly processes.

Original languageEnglish (US)
Title of host publication2013 IEEE International Conference on Automation Science and Engineering, CASE 2013
Pages540-545
Number of pages6
DOIs
StatePublished - 2013
Event2013 IEEE International Conference on Automation Science and Engineering, CASE 2013 - Madison, WI, United States
Duration: Aug 17 2013Aug 20 2013

Publication series

NameIEEE International Conference on Automation Science and Engineering
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Other

Other2013 IEEE International Conference on Automation Science and Engineering, CASE 2013
Country/TerritoryUnited States
CityMadison, WI
Period8/17/138/20/13

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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