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Resistance spot welding control based on fuzzy logic

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Abstract

Resistance spot welding is one of the most important welding procedures. Therefore, a lot of research is done in order to increase its cost effectiveness. One of the problems is short electrode life, especially when coated materials are welded. This paper presents a fuzzy logic-based controller which is capable of detecting expulsion and stopping the welding process when it occurs. Consequently, electrodes are spared of unnecessary high stresses which occur when the energy is being poured into the weld region after expulsion. Their life is therefore substantially increased.

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References

  1. Podržaj P, Polajnar I, Diaci J, Kariž Z (2008) Overview of resistance spot welding control. Sci Technol Weld Join 13:215–224

    Article  Google Scholar 

  2. Luo Y, Liu J, Xu H, Xiong C, Liu L (2009) Regression modeling and process analysis of resistance spot welding on galvanized steel sheet. Mater Des 30:2547–2555

    Article  Google Scholar 

  3. Goodarzi M, Marashi SPH, Pouranvari M (2009) Dependence of overload performance on weld attributes for resistance spot welded galvanized low carbon steel. J Mater Process Technol 209:4379–4384

    Article  Google Scholar 

  4. Sun X, Stephens EV, Khaleel MA (2008) Effects of fusion zone size and failure mode on peak load and energy absorption of advanced high strength steel spot welds under lap shear loading conditions. Eng Fail Anal 15:356–367

    Article  Google Scholar 

  5. Ruisz J, Biber J, Loipetsberger M (2007) Quality evaluation in resistance spot welding by analysing the weld fingerprint on metal bands by computer vision. Int J Adv Manuf Technol 33:952–960

    Article  Google Scholar 

  6. Zhang P, Zhang H, Chen J, Ma Y (2007) Quality monitoring of resistance spot welding based on electrode displacement characteristics analysis. Front Mech Eng China 2:330–335

    Article  Google Scholar 

  7. Cullen JD, Athi N, Al-Jader M, Johnson P, Al-Shamma AI, Shaw A, El-Rasheed AMA (2008) Multisensor fusion for on line monitoring of the quality of spot welding in automotive industry. Measurement 41:227–234

    Article  Google Scholar 

  8. El-Banna M, Filev D, Chinnam RB (2008) Online qualitative nugget classification by using a linear vector quantization neural network for resistance spot welding. Int J Adv Manuf Technol 36:237–248

    Article  Google Scholar 

  9. Wang H, Zhang Y, Chen G (2009) Resistance spot welding processing monitoring based on electrode displacement curve using moving range chart. Measurement 42:1032–1038

    Article  Google Scholar 

  10. Krause M (1993) Widerstandspreßschweißen, 27. DVS, Düsseldorf

    Google Scholar 

  11. Senkara J, Zhang H, Hu JS (2004) Expulsion prediction in resistance spot welding. Weld J 83:123s–132s

    Google Scholar 

  12. Podržaj P, Polajnar I, Diaci J, Kariž Z (2006) Influence of welding current shape on expulsion and weld strength of resistance spot welds. Sci Technol Weld Join 11:250–254

    Article  Google Scholar 

  13. Ma C, Bhole S D, Chen D L, Lee A, Biro E, Boudreau G (2006) Expulsion monitoring in spot welded advanced high strength automotive steels. Sci Technol Weld Join 11:480–487

    Article  Google Scholar 

  14. Pouranvari M, Abedi A, Marashi P, Goodarzi M (2008) Effect of expulsion on peak load and energy absorption of low carbon steel resistance spot welds. Sci Technol Weld Join 13:39–43

    Article  Google Scholar 

  15. Zou J, Qizhang Z, Zheng C (2009) Surface modified long-life electrode for resistance spot welding of Zn-coated steel. J Mater Process Technol 209:4141–4146

    Article  Google Scholar 

  16. Gould JE, Peterson W (2007) Analytical modelling of electrode wear occurring during resistance spot welding. Sci Technol Weld Join 13:248–253

    Article  Google Scholar 

  17. Rao ZH, Liao SM, Tsai HL, Wang PC, Stevenson R (2009) Mathematical modeling of electrode cooling in resistance spot welding. Weld J 88:111-s–119-s

    Google Scholar 

  18. Latypova EY, Furmanov SM, Tsumarev YA, Emelyanov SN (2008) Modernisation of the cooling systems of resistance spot welding electrodes. Weld Int 22:472–474

    Article  Google Scholar 

  19. Zhang YS, Wang H, Chen GL, Zhang XQ (2007) Monitoring and intelligent control of electrode wear based on a measured electrode displacement curve in resistance spot welding. Meas Sci Technol 18:867–876

    Article  Google Scholar 

  20. Zhang XQ, Chen GL, Zhang YS (2008) On-line evaluation of electrode wear by servo gun in resistance spot welding. Int J Adv Manuf Technol 36:681–688

    Article  Google Scholar 

  21. Lai X, Luo A, Zhang Y, Chen G (2009) Optimal design of electrode cooling system for resistance spot welding with the response surface method. Int J Adv Manuf Technol 41:226–233

    Article  Google Scholar 

  22. Podržaj P, Polajnar I, Diaci J, Kariž Z (2004) Expulsion detection system for resistance spot welding based on a neural network. Meas Sci Technol 15:592–598

    Article  Google Scholar 

  23. Ward D A, Exon J La T (1995) Using Rogowski coils for transient current measurements. Eng Sci Educ J 2:105–113

    Article  Google Scholar 

  24. Weber G (1995) Qualität von Schweißungen und dynamisches Ström–Spanungs–Verhalten beim Widerstandspunktschweißen mit Wechselstrom. Schweiss Schneid 47:23–29

    Google Scholar 

  25. Chen CW (2009) Modeling and control for nonlinear structural systems via a NN-based approach. Expert Syst Appl 36:4765–72

    Article  Google Scholar 

  26. Hsiao FH, Xu SD, Lin CY, Tsai ZR (2008) Robustness design of fuzzy control for nonlinear multiple time-delay large-scale systems via neural-network-based approach. IEEE Trans Syst Man Cybern Part B Cybern 38:244–251

    Article  Google Scholar 

  27. Chen CW, Yeh K, Liu KFR (2009) Adaptive fuzzy sliding mode control for seismically excited bridges with lead rubber bearing isolation. Int J Uncertain Fuzziness Knowl-Based Syst 17:705–727

    Article  MATH  Google Scholar 

  28. Yager RP, Filev DP (1994) Essentials of fuzzy modeling and control. Wiley, New York, pp 1–13

    Google Scholar 

  29. Patyra MY, Mlynek DM (1996) Fuzzy logic. Implementation and applications, vol 4. Wiley, Chichester

    Google Scholar 

  30. Terano T, Asai K, Sugeno M (1994) Applied fuzzy systems. AP Professional, Cambridge, pp 36–41

    Google Scholar 

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Correspondence to Primož Podržaj.

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Podržaj, P., Simončič, S. Resistance spot welding control based on fuzzy logic. Int J Adv Manuf Technol 52, 959–967 (2011). https://doi.org/10.1007/s00170-010-2794-0

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  • DOI: https://doi.org/10.1007/s00170-010-2794-0

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