On-line Quality Estimation in Resistance Spot Welding-Reference-Cited by-同舟云学术

On-line Quality Estimation in Resistance Spot Welding

Published:1999-12-01 Issue:3 Volume:122 Page:511-512
ISSN:1087-1357
Container-title:Journal of Manufacturing Science and Engineering
language:en
Short-container-title:

Author:

Li Wei¹,Hu S. Jack¹,Ni Jun¹

Affiliation:

1. Department of Mechanical Engineering and Applied Mechanics, The University of Michigan, Ann Arbor, MI 48109

Abstract

A neural network model is developed for on-line nugget size estimation in resistance spot welding. The variables used consist of features extracted from both controllable process input variables and on-line signals. A systematic signal and feature selection procedure is developed. The three commonly observed on-line signals, dynamic resistance, force, and electrode displacement, have been proven to carry similar information. Thus, only dynamic resistance is used in the model. The obtained model has been demonstrated to be robust over various welding conditions including electrode wear. [S1087-1357(00)01204-1]

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

Link

http://asmedigitalcollection.asme.org/manufacturingscience/article-pdf/122/3/511/5932650/511_1.pdf

Reference4 articles.

1. Stiebel, A., Ulmer, C., Kodrack, D., and Holmes, B., 1986, “Monitoring and Control of Spot Weld Operations,” SAE Technical Paper, No. 860579, International Congress and Exposition, Detroit, Michigan.

2. Auto/Steel Partnership, 1995, Weld Quality Test Method Manual, Standardized Test Method Task Force.

3. Takuma, M., Shinke, N., and Motono, H., 1996, “Evaluation of Function of Spot-Welded Joint using Ultrasonic Inspection,” Trans. Jpn. Soc. Mech. Eng., Part A, 62, No. 595, pp. 776–780.

4. Li, W., Hu, S. J., and Ni, J., 1999, “On-Line Expulsion Detection and Estimation for Resistance Spot Welding,” Trans. NAMRI/SME, XXVII, pp. 123–128.

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