Cover
Vol. 23 No. 1 (2023)

Published: July 31, 2023

Pages: 72-80

Original Article

Numerical Simulation and Optimization of Friction Stir Welding Parameters

Sadiq J. Jasim 1 Nathera A. Saleh 1 Raad J. Jasim 1
1 Department of Mechanical Engineering, College of Engineering, University of Basrah, Basrah, Iraq
History
  • Received: May 16, 2022
  • Revised: June 12, 2022
  • Accepted: June 21, 2022
  • Available Online: July 2, 2023
DOI

https://doi.org/10.33971/bjes.23.1.10

Abstract

In this paper friction stir welding process has been studied whereby utilized FEM method (Ansys software ver. 20). The main effective parameter in this process were rotational speed, linear speed, tool shoulder radius, heat transfer coefficient and clamping percentage to study their influence on represent temperature, von misses stress and frictional stress distribution. Because of the difficulty to obtained the number of the simulation cases in order to get the most important results, Taguchi L27 orthogonal array was apply to reduce the total number of the simulation cases. Pure copper (t = 3.18 mm) material type was applied as work plate material. ANOVA statistical tool was utilized to achieved the optimization process after the simulation cases done. Percentage of contribution of each parameter can be obtained by ANOVA table and mean of S/N ratio plot. Validation process was achieved between the Current study and experiment work in the temperature distribution field with percentage of error 2.7 %. From optimization result It is found that the optimum condition in order to obtained good results for temperature was rotational speed of (450 rpm), linear speed (2.75 mm/s), tool shoulder radius (7 mm), heat transfer coefficient (300 w/m 2 K), clamping distance percentage (40 %). And for von misses stress was rotational speed of (550 rpm), linear speed (3 mm/s), tool shoulder radius (7 mm), heat transfer coefficient (300 w/m 2 K), clamping distance percentage (20 %). While for frictional stress was rotational speed of (450 rpm), linear speed (2.5 mm/s), tool shoulder radius (7 mm), heat transfer coefficient (300 w/m 2 K), clamping distance percentage (30 %).

Keywords

References

  1. H. I. Khalaf, R. Al-Sabur, M. E. Abdullah, A. Kubit, H. A. Derazkola, “Effects of Underwater Friction Stir Welding Heat Generation on Residual Stress of AA6068-T6 Aluminum Alloy”, Materials, Vol. 15, Issue 6, 2022.
  2. R. Al-Sabur, H. I. Khalaf, A. Swierczy´nska, G. Rogalski, H. A. Derazkola, “Effects of Noncontact Shoulder Tool Velocities on Friction Stir Joining of Polyamide 6 (PA6)”, Materials, Vol. 15, Issue 12, 2022.
  3. A. S. Bahedh, A. Mishra, R. Al-Sabur, A. K. Jassim, “Machine learning algorithms for prediction of penetration depth and geometrical analysis of weld in friction stir spot welding process”, Metallurgical Research & Technology, Vol. 119, Issue 3, 2022.
  4. R. Al-Sabur, A. K. Jassim, and E. Messele, “Real-time monitoring applied to optimize friction stir spot welding joint for AA1230 Al-alloys”, Materials Today, Vol. 42, Part 5, pp. 2018-2024, 2021.
  5. M. Jayaraman, R. Sivasubramanian, V. Balasubramanian, and A. K. Lakshminarayanan, “Optimization process parameter for friction stir welding of cast aluminum alloy A319 by Taguchi method”, Journal of Scientific and Industrial Research, Vol. 68, pp. 36-43, 2009.
  6. K. Gök, and M. Aydin, “Investigations of friction stir welding process using finite element method”, The International Journal of Advanced Manufacturing Technology, Vol. 68, pp. 775-780, 2013.
  7. M. Jabbari, “RETRACTED: Elucidating of rotation speed in friction stir welding of pure copper: Thermal modeling”, Computational Materials Science, Vol. 81, pp. 296-302, 2014. https://doi.org/10.1016/j.commatsci.2013.08.040
  8. G. Karrar, A. N. Shuaib, F. A. Al-Badour, N. Merah, A. K. Mahgoub, “Friction Stir Butt Welding of Commercially Pure Copper Plates”, ASME International Mechanical Engineering Congress and Exposition, IMECE201438378, 2014. https://doi.org/10.1115/IMECE2014-38378
  9. P. K. Sahu, and S. Pal, “Multi-response optimization of process parameters in friction stir welded AM20 magnesium alloy by Taguchi grey relational analysis”, Journal of Magnesium and Alloys, Vol. 3, Issue 1, pp. 3646, 2015. http://doi.org/10.1016/j.jma.2014.12.002
  10. D. Y. Lee, K. D. Park, D. M. Kang, “A Study on the Finite Element Analysis in Friction Stir Welding of Al Alloy”, Journal of the Korean Society of Manufacturing Process Engineers, Vol. 14, No. 5, pp. 81-87, 2015.
  11. M. A. Constantin, E. L. Niţu, and C. Bădulescu, “Numerical simulation of friction stir welding of pure copper plates”, IOP Conference Series: Materials Science and Engineering, Vol. 564, 2019.
  12. R. Al-Sabur, “Tensile strength prediction of aluminium alloys welded by FSW using response surface methodology – Comparative review”, Materials Today: Proceedings, Vol. 45, Part 6, pp. 4504-4510, 2021.
  13. C. D. Sorensen, and T. W. Nelson. “Friction Stir Welding of Ferrous and Nickel Alloys”, ASM International, Friction Stir Welding and Processing, pp. 111-121, 2007.
  14. H. Pashazadeh, A. Masoumi, and J. Teimournezhad, “A study on material flow pattern in friction stir welding using finite element method”, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Vol. 227, Issue 10, pp. 1453-1466, 2013.
  15. S. B. Aziz, M. W. Dewan, D. J. Huggett, M. A. Wahab, A. M. Okeil, and T. W. Liao, “Impact of Friction Stir Welding (FSW) Process Parameters on Thermal Modeling and Heat Generation of Aluminum Alloy Joints”, Acta Metallurgica Sinica (English Letters), Vol. 29, Issue 9, pp. 869-883, 2016. https://doi.org/10.1007/s40195-016-0466-2