A Finite Element Simulation on Effect of Different Tool Profiling on FSW
DOI:
https://doi.org/10.30732/CSVTURJ.20200902001Keywords:
Tool pin profile, Aluminum alloy, Temperature field, Finite element analysis, Friction stir weldingAbstract
Friction Stir Welding (FSW) is a new solid-state welding technique that finds application in various industries. It involves the joining of metals without any help of fusion or filler material. The joint between two metals can be formed through the combined action of frictional heating and mechanical deformation, which is developed due to a rotating tool. The friction act like a heat source that provides sufficient heat to stir the material. The material that flows around the tool undergoes an extreme level of plastic deformation. Rotation generates enough friction and the friction generates sufficient heat to plastify the material. Friction Stir Welding (FSW) is used for welding aluminum alloys. However, interest is growing in utilizing the process in a wider range of applications that also employ non-aero engine metallic materials. Therefore, it is the objective of this paper is to provide a broad view of the capabilities of the FSW process for joining metals and also gives sense when welding is performed with different tool profile and rotational speed. This work will cover the basics of the process and the fundamental aspects of operating an FSW. This includes a description of the different parameters that have been involved in this process and also their effect when parameter changed in form of tool geometry and rotational speed.
References
Thomas, W.M., Nicholas, E.D., Needham, J.C., Murch, M.G., Templesmith, P. and Dawes, C.J. (1991) International Patent Application No. PCT/GB92/02203 and GB Patent Application No. 9125978.8..
Jain, R., Kumari, K., Kesharwani, R., Kumar, S., Pal, S., Singh, S., Panda, S. and Samantaray, A., 2015. Friction Stir Welding: Scope and Recent Development. Materials Forming, Machining and Tribology, pp.179-229.
V.K Saraswat, Aniruddha Ghosh, Need for an Aluminum Policy in India, Niti Aayog, published on 2017.
Jain, R., Pal, S. and Singh, S., 2016. Finite Element Simulation of Temperature and Strain Distribution during Friction Stir Welding of AA2024 Aluminum Alloy. Journal of The Institution of Engineers (India): Series C, 98(1), pp.37-43.
Kumari, K., Pal, S. and Singh, S., 2015. Friction stir welding by using counter-rotating twin tool. Journal of Materials Processing Technology, 215, pp.132-141.
Jain, R., Pal, S. and Singh, S., 2017. Finite element simulation of pin shape influence on material flow, forces in friction stir welding. The International Journal of Advanced Manufacturing Technology, 94(5-8), pp.1781-1797.
Sahu, P., Pal, S., Pal, S. and Jain, R., 2016. Influence of plate position, tool offset and tool rotational speed on mechanical properties and microstructures of dissimilar Al/Cu friction stir welding joints. Journal of Materials Processing Technology, 235, pp.55-67.
Kumar, U., Yadav, I., Kumari, S., Kumari, K., Ranjan, N., Kesharwani, R., Jain, R., Kumar, S., Pal, S., Chakravarty, D. and Pal, S., 2015. Defect identification in friction stir welding using discrete wavelet analysis. Advances in Engineering Software, 85, pp.43-50.
Chauhan, P., Jain, R., Pal, S. and Singh, S., 2018. Modeling of defects in friction stir welding using coupled Eulerian and Lagrangian method. Journal of Manufacturing Processes, 34, pp.158-166. [10] Ranjan, R., Khan, A., Parikh, C., Jain, R., Mahto, R., Pal, S., Pal, S. and Chakravarty, D., 2016. Classification and identification of surface defects in friction stir welding: An image processing approach. Journal of Manufacturing Processes, 22, pp.237-253.
Arora A, Nandan R, Reynolds AP, DebRoy T (2009) Torque, power requirement and stir zone geometry in friction stir welding through modeling and experiments. Scripta Mater 60 (1):13–16.
Bergmann, J., Grätzel, M., Schürer, R., Regensburg, A. and Weigl, M., 2016. Advances and Potentials in Friction Stir Welding of Aluminum Alloys. Key Engineering Materials, 710, pp.137-142.
Lambiase, F., Paoletti, A., & Di Ilio, A. (2018). Forces and temperature variation during friction stir welding of aluminum alloy AA6082-T6. The International Journal of Advanced Manufacturing Technology, 99(1-4), 337-346. https://doi.org/10.1007/s00170-018-2524-6 [14] Kuykendall, K., Nelson, T., Sorensen, C., 2013. On the selection of constitutive laws used in modeling friction stir welding. Int. J. Mach. Tools Manuf. 74, 74–85. http://dx.doi.org/10.1016/j.ijmachtools.2013.07.004.
Johnson GR, Cook WH. A constitutive model and data for metals subjected to large strains, high strain rates and high temperatures. Proc 7th Int Symp Ballist 1983; 547:541–7. http://dx.doi.org/10.1038/nrm3209.
Kuykendall, K., 2011. An Evaluation of Constitutive Laws and their Ability to Predict Flow Stress over Large Variations in Temperature, Strain, and Strain Rate Characteristic of Friction Stir Welding. Brigham Young University.
Sheppard, T., Wright, D.S., 1979. Determination of flow stress: part 1 constitutive equation for aluminum alloys at elevated temperatures. Met. Technol. (June), 215–223.
Metals Handbook, Vol.2 - Properties and Selection: Nonferrous Alloys and Special-Purpose Materials, ASM International 10th Ed. 1990.
Jain, R., Pal, S. K., & Singh, S. B. (2016). A study on the variation of forces and temperature in a friction stir welding process: A finite element approach. Journal of Manufacturing Processes, 23, 278-286. https://doi.org/10.1016/j.jmapro.2016.04.008
Jain, R., Pal, S. K., & Singh, S. B. (2017). Numerical modeling methodologies for friction stir welding process. Computational Methods and Production Engineering, 125-169. https://doi.org/10.1016/b978-0-85709-481-0.00005-7