PROBABILITY MODEL OF THE SUBMERGED WELDING PROCESS AND CALCULATION OF THE PROBABILITY OF DEFECTS

Authors

  • Sayitjonova Mashxuraxon Tulkinovna Assistant of the Department of “Technological Machines and Labor Protection” Andijan State Technical Institute

Keywords:

Submerged arc welding, probabilistic model, defect probability, welding machine, technological parameters, reliability

Abstract

This paper presents a probabilistic analysis of submerged arc welding (SAW) processes and evaluates the likelihood of defects formation in welds. The study, conducted on an automated SAW machine, investigated how parameter stability, wire feed rate, and flux layer condition influence defect frequency. The probabilistic approach enables assessing process reliability, predicting defect risk, and optimizing technological regimes.

Downloads

Download data is not yet available.

References

Kou, S. Welding Metallurgy. 2nd ed., Wiley-Interscience, 2003.

Lancaster, J.F. The Physics of Welding. Pergamon Press, 1986.

Cary, H.B., Helzer, S.C. Modern Welding Technology. Pearson Education, 2005.

Goldak, J., Akhlaghi, M. Computational Welding Mechanics. Springer, 2005.

Zhang, Y., Li, X. “Statistical analysis of welding defects in submerged arc welding.” Journal of Materials Processing Technology, 2018.

Montgomery, D.C. Introduction to Statistical Quality Control. Wiley, 2013.

ReliaSoft Corporation. Reliability Engineering Handbook. 2012.

Downloads

Published

2026-04-21

How to Cite

Sayitjonova Mashxuraxon Tulkinovna. (2026). PROBABILITY MODEL OF THE SUBMERGED WELDING PROCESS AND CALCULATION OF THE PROBABILITY OF DEFECTS. Journal of Applied Science and Social Science, 16(4), 907–911. Retrieved from https://www.internationaljournal.co.in/index.php/jasass/article/view/4124

Issue

Vol. 16 No. 4 (2026): Journal of Applied Science and Social Science

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

All content published in the Journal of Applied Science and Social Science (JASSS) is protected by copyright. Authors retain the copyright to their work, and grant JASSS the right to publish the work under a Creative Commons Attribution License (CC BY). This license allows others to distribute, remix, adapt, and build upon the work, even commercially, as long as they credit the author(s) for the original creation.