Journal of Welding and Joining

The Korean Welding and Joining Society (대한용접접합학회)
권호 표지

A DEVELOPMENT OF MATHEMATICAL MODELS FOR PREDICTION OF OPTIMAL WELD BEAD GEOMETRY FOR GMA WELDING

GMA 용접에 최적의 용접비드 형상을 예측하기 위한 수학적 모델 개발

  • Published : 1997.06.01
Download PDF
⟨ Previous Next ⟩

Abstract

With the trend towards welding automation and robotization, mathematical models for studying the influence of various variables on the weld bead geometry in gas metal arc (GMA) welding process are required. Partial penetration, single-pass bead-on-plate welds using the GMA welding process were fabricated in 12mm mild steel plates employed four different process variables. Experimental results has been designed to investigate the analytical and empirical formulae, and develop mathematical equations for understanding the relationship between process variables and weld bead geometry. The relationships can be usefully employed not only for open loop process control, but also for adaptive control provided that dynamic sensing of process output is performed.

Keywords

References

  1. Welding Journal v.20 no.5 Mathematical theory of heat distribution during weld and cutting D. Rosenthal
  2. British Weld Journal no.1 Fusion welding of aluminum alloys D. K. Roberts;A. A. Wells
  3. British Weld Journal v.12 Distribution of temperatures in arc welding N. Christensen;V. de L. Davies;K. Gjermundsen
  4. Welding Journal v.55 no.12 An investigation of the thermal response of stationary gas tungsten arc welds E. Friedman;S. S. Glickstein
  5. Welding Journal v.67 no.1 Modeling of nonautogenous welding T. Zacharia;A. H. Eraslan;D. K. Aidun
  6. Weld Journal v.67 no.3 Fluid flow and heat transfer in GMA weld pools K. C. Tsao;C. S. Wu
  7. Weld. Inst. Research Report PE4/72 An examination of the influence of process parameters on submerged arc welding P. A. Drayton
  8. Weld. Inst. Research Report 1/1976/PE Process tolerance in submerged arc welding S. B. Jones
  9. The Welding Institute Report 52/1977/PE Relationships between process variables and weld geometry J. Doherty;J. C. McGlone
  10. The Welding Institute Report 74/1978/PE The relationships between arc welding parameters and weld bead geometry T. Shinoda;J. Doherty
  11. The welding Institute Report 79/1978/PE The submerged arc butt welding of mild steel Part 1: The influence of procedure parameters on weld bead geometry J. C. McGlone
  12. The Welding Institute Report 80/1978/PE The submerged arc butt welding of mild steel Part 2 : The prediction of weld bead geometry from the procedure parameters J. C. McGlone;D. B. Chadwick
  13. The Welding Institute Report 82/1978/PE The relationships between arc welding parameters and fillet weld geometry for MIG welding with flux cored wires J. Doherty;T. Shinoda;J. Weston
  14. Proceedings of the Fourth International Conference on Modeling of Casting and Welding Processes no.17-22 Mathematical modeling of gas metal arc weld features R. S. Chandel
  15. Welding Journal v.72 no.1 The effects of process variables on the weld deposit area of submerged arc welds L. J. Yang;R. S. Chandel;M. J. Bibby
  16. Proceedings of the 2nd International Conference Computer Technology in Welding On-line control of the arc welding process J. J. Hunter;G. W. Bryce;J. Doherty
  17. Welding Journal v.63 no.3 Coaxial weld pool viewing for process monitoring and control R. W. Richardson;A. Gutow;R. A. Anderson;D. F. Farson
  18. Proceedings of an International Conference on Trends in Welding Research no.18-22 Multivariable control of arc welding processes G. Doumanidis;M. Hale;D. E. Hart
  19. Proceedings of an International Conference on Trends in Welding Research no.18-22 Keynote address: Feedback and adaptive control in welding G. E. Cook;K. Andersen;R. J. Barrett
  20. Design and analysis of experiments(2nd Edition) D. C. Montgomery
  21. Statistics for experimenters: An introduction to design data analysis and model building(10th Edition) G. E. P. Box;W. H. Hunter;J. S. Hunter
  22. SAS/STAT users guide, Edition SAS Institute, Inc.