Manufacturing Technology 2017, 17(4):434-440 | DOI: 10.21062/ujep/x.2017/a/1213-2489/MT/17/4/434

Optimization of Resistance Spot Welding Process using Response Surface Methodology and Simulated Annealing

Yordi Kristianto Budiono, Sigit Yoewono Martowibowo
Faculty of Mechanical and Aerospace Engineering, Institut Teknologi Bandung. Jalan Ganesa 10, Bandung 40132. Indonesia

This study presents the Resistance Spot Welding (RSW) process of Deep Drawing Steel (DDS) optimization using Response Surface Methodology (RSM) and Simulated Annealing (SA). The RSW process was optimized to obtain the maximum shear force the DDS can withstand. The experiment was conducted under various DDS thickness, welding time and welding current. The experimental processes were conducted using L16 orthogonal array, which has nine rows. The processed DDS was tested using tensile testing machine which will generate the amount of shear force that it can withstand. RSM is first used to develop a suitable mathematical model. The model was tested using Analysis of Variance. From the test result, the model then was used as the objective function of SA. Based on the result, the maximum shear force can be well predicted, which leads to reduced cost and improved welding quality.

Keywords: Resistance Spot Welding, Deep Drawing Steel, Shear Force, Optimization, Response Surface Methodology, Simulated Annealing

Published: September 1, 2017  Show citation

ACS AIP APA ASA Harvard Chicago IEEE ISO690 MLA NLM Turabian Vancouver
Kristianto Budiono Y, Martowibowo SY. Optimization of Resistance Spot Welding Process using Response Surface Methodology and Simulated Annealing. Manufacturing Technology. 2017;17(4):434-440. doi: 10.21062/ujep/x.2017/a/1213-2489/MT/17/4/434.
Share...
Download citation
  • BibTeX (.bib)
  • Bookends (.ris)
  • EasyBib (.ris)
  • EndNote (.enw)
  • EndNote 8 (.xml)
  • ISI WoS (.isi)
  • Medlars (.medlars)
  • Mendeley (.ris)
  • MODS (.xml)
  • Papers (.ris)
  • RefWorks (.txt)
  • RefManager (.ris)
  • RIS (.ris)
  • MS Word (.xml)
  • Zotero (.ris)
    • Open article abstract

    References

    1. ASLANLAR, S., OGUR, A., OZSARAC, U., ILHAN, E. (2008). Welding time effect on mechanical properties of automotive sheets in electrical resistance spot welding. In: Materials and Design, Vol. 29, No. 7, pp. 1427-1431. Elsevier BV. Netherlands. Go to original source...
    2. BRADLEY, N. (2007). The Response Surface Methodology, M. S. Thesis, Applied Mathematics & Computer Science, Indiana University, South Bend, United State of America.
    3. BRIAN, A. (2007). An introduction to simulated annealing. In: The College Mathematics Journal, Vol. 38, No. 1, pp. 37-42. Mathematical Association of America, United State of America. Go to original source...
    4. BROŽEK, M. (2014). Working variables optimization of resistance spot welding. In: Manufacturing Technology, Vol. 14, No. 4, pp. 522-527. Institute of Technology and Production Management University of J. E. Purkyne. Czech Republic. Go to original source...
    5. BROŽEK, M. (2016). Resistance spot welding of steel sheets. In: Manufacturing Technology, Vol. 16, No. 4, pp. 662-666. Institute of Technology and Production Management University of J.E. Purkyne. Czech Republic. Go to original source...
    6. CHAKI, S., GHOSAL, S. (2011). Application of an optimized SA-ANN hybrid model for parametric modeling and optimization of LASOX cutting of mild steel. In: Production Engineering-Research and Development, Vol. 5, No. 3, pp. 251-262. Springer-Verlag. Germany. Go to original source...
    7. KARTHIKEYAN, R., BALASUBRAMANIAN, V. (2010). Predicitons of the optimized friction stir spot welding process parameters for joining AA2024 aluminum alloy using RSM. In: The International Journal of Advanced Manufacturing Technology, Vol. 51, No. 1-4, pp. 173-183. Springer London. United Kingdom. Go to original source...
    8. KENDALL, G. (2000). Artificial Intelligence Method: Simulated Annealing, School of Computer Science, University of Nottingham, Nottingham, United Kingdom, (http://www.cs.nott.ac.uk/~pszgxk/aim/notes/simulatedannealing.doc, accessed on 20 March 2016).
    9. LUO, Y., LIU, J., XU, H., XIONG, C., LIU, L. (2009). Regression modeling and process analysis of resistance spot welding on galvanized steel sheet. In: Materials and Design, Vol. 30, No. 7, pp. 2547-2555. Elsevier BV. Netherlands. Go to original source...
    10. MOUSAVI, S.M., MOGHADDAM, R.T. (2013). A hybrid simulated annealing algorithm for location and routing scheduling problems with cross-docking in the supply chain. In: Journal of Manufacturing Systems, Vol. 32, No. 2, pp. 335-347. Elsevier BV. Netherlands. Go to original source...
    11. MUHAMMAD, N., MANURUNG, Y.H.P., HAFIDZI, M., ABAS, S.K., THAM, G., HARUMAN, E. (2012). Optimization and modeling of spot welding parameters with simultaneous multiple response consideration using multi-objective Taguchi method and RSM. In: Journal of Mechanical Science and Technology, Vol. 26, No. 8, pp. 2365-2370. Korean Society of Mechanical Engineers. South Korea. Go to original source...
    12. MUHAMMAD, N., MANURUNG, Y.H.P., JAAFAR, R., ABAS, S.K., THAM, G., HARUMAN, E. (2013). Model development for quality features of resistance spot welding using multi-objective Taguchi method and response surface methodology. In: Journal of Intelligent Manufacturing, Vol. 24, No. 6, pp. 1175-1183. Springer US. United State of America. Go to original source...
    13. SEYEDKASHI, S.M.H., NAEINI, H.M., MOON, Y.H. (2014). Feasibility study on optimized process conditions in warm tube hydroforming. In: Journal of Mechanical Science and Technology, Vol. 28, No. 7, pp. 2845-2852. Korean Society of Mechanical Engineers, South Korea. Go to original source...
    14. SIBALIJA, T. V., PETRONIC, S. Z., MAJSTOROVIC, V.D., MILOSAVLJEVIC, A. (2014). Modelling and optimisation of laser shock peening using an integrated simulated annealing-based method. In: The International Journal of Advanced Manufacturing Technology, Vol. 73, No. 5-8, pp. 1141-1158. Springer London. United Kingdom. Go to original source...
    15. TSENG, H. Y. (2006). Welding parameters optimization for economic design using neural approximation and genetic algorithm. In: The International Journal of Advanced Manufacturing Technology, Vol. 27, No. 9-10, pp. 897-901. Springer London. United Kingdom. Go to original source...
    16. XU, J., JIANG, X., ZENG, Q., ZHAI, T., LEONHARDT, T., FARRELL, J., UMSTEAD, W., EFFGEN, M.P. (2007). Optimization of resistance spot welding on the assembly of refractory alloy 50Mo-50Re thin sheet. In: Journal of Nuclear Materials, Vol. 366, No. 3, pp. 417-425. Elsevier BV. Netherlands. Go to original source...

    Return to the content