Abstract
In this study the inuence of rotational and traverse speed on the friction stir welding of AA5083 aluminum alloy has been investigated. For this purpose a thermo-mechanically coupled, 3D FEM analysis was used to study the effect of rotational and traverse speed on welding force, peak temperature and HAZ width. Then, an Articial Neural Network (ANN) model was employed to understand the correlation between the welding parameters (rotational and traverse speed) and peak temperature, HAZ width and welding force values in the weld zone. Performance of the ANN model was found excellent and the model can be used to predict peak temperature, HAZ width and welding force. Furthermore, in order to find optimum values of traverse and rotational speed, the multi-objective optimization was used to obtain the Pareto front. Finally, the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) was employed to obtain the best compromised solution.
Article PDF
Similar content being viewed by others
Avoid common mistakes on your manuscript.
References
Behnagh, R. A., Besharati Givi, M., and Akbari, M., “Mechanical Properties, Corrosion Resistance, and Microstructural Changes during Friction Stir Processing of 5083 Aluminum Rolled Plates,” Materials and Manufacturing Processes, Vol. 27, No. 6, pp. 636–640, 2012.
Akbari, M. and Behnagh, R. A., “Dissimilar Friction-Stir Lap Joining of 5083 Aluminum Alloy to CuZn34 Brass,” Metallurgical and Materials Transactions B, Vol. 43, No. 5, pp. 1177–1186, 2012.
Asadi, P., Givi, M. B., Rastgoo, A., Akbari, M., Zakeri, V., and Rasouli, S., “Predicting the Grain Size and Hardness of AZ91/SiC Nanocomposite by Artificial Neural Networks,” The International Journal of Advanced Manufacturing Technology, Vol. 63, No. 9–12, pp. 1095–1107, 2012.
Akbari, M., Abdi Behnagh, R., and Dadvand, A., “Effect of Materials Position on Friction Stir Lap Welding of Al to Cu,” Science and Technology of Welding and Joining, Vol. 17, No. 7, pp. 581–588, 2012.
Shojaeefard, M. H., Behnagh, R. A., Akbari, M., Givi, M. K. B., and Farhani, F., “Modelling and Pareto Optimization of Mechanical Properties of Friction Stir Welded AA7075/AA5083 Butt Joints using Neural Network and Particle Swarm Algorithm,” Materials & Design, Vol. 44, pp. 190–198, 2013.
Shojaeefard, M. H., Akbari, M., Tahani, M., and Farhani, F., “Sensitivity Analysis of the Artificial Neural Network Outputs in Friction Stir Lap Joining of Aluminum to Brass,” Advances in Materials Science and Engineering, Vol. 2013, Document ID: 574914, 2013.
Buffa, G., Hua, J., Shivpuri, R., and Fratini, L., “A Continuum based FEM Model for Friction Stir Welding-Model Development,” Materials Science and Engineering: A, Vol. 419, No. 1, pp. 389–396, 2006.
Shojaeefard, M. H., Khalkhali, A., Akbari, M., and Asadi, P., “Investigation of Friction Stir Welding Tool Parameters using FEM and Neural Network,” Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials Design and Applications, DOI: 10.1177/1464420713509075, 2013.
Kim, D., Badarinarayan, H., Kim, J. H., Kim, C., Okamoto, K., et al., “Numerical Simulation of Friction Stir Butt Welding Process for AA5083-H18 Sheets,” European Journal of Mechanics-A/Solids, Vol. 29, No. 2, pp. 204–215, 2010.
Buffa, G., Fratini, L., and Micari, F., “Mechanical and Microstructural Properties Prediction by Artificial Neural Networks in FSW Processes of Dual Phase Titanium Alloys,” Journal of Manufacturing Processes, Vol. 14, No. 3, pp. 289–296, 2012.
Asadi, P., Mahdavinejad, R. A., and Tutunchilar, S., “Simulation and Experimental Investigation of FSP of AZ91 Magnesium Alloy,” Materials Science and Engineering: A, Vol. 528, No. 21, pp. 6469–6477, 2011.
Buffa, G., Hua, J., Shivpuri, R., and Fratini, L., “Design of the Friction Stir Welding Tool using the Continuum based FEM Model,” Materials Science and Engineering: A, Vol. 419, No. 1, pp. 381–388, 2006.
Mishra, R. S, and Ma, Z., “Friction Stir Welding and Processing,” Materials Science and Engineering: R: Reports, Vol. 50, No. 1, pp. 1–78, 2005.
Shojaeefard, M. H., Khalkhali, A., Akbari, M., and Tahani, M., “Application of Taguchi Optimization Technique in Determining Aluminum to Brass Friction Stir Welding Parameters,” Materials & Design, Vol. 52, No. pp. 587–592, 2013.
Mahoney, M. W., Rhodes, C. G., Flintoff, J. G., Bingel, W. H., and Spurling, R. A., “Properties of Friction-Stir-Welded 7075 T651 Aluminum,” Metallurgical And Materials Transactions A, Vol. 29, No. 7, pp. 1955–1964, 1998.
Coello, C. A. C., “A Comprehensive Survey of Evolutionary-based Multiobjective Optimization Techniques,” Knowledge and Information systems, Vol. 1, No. 3, pp. 269–308, 1999.
Etghani, M. M., Shojaeefard, M. H., Khalkhali, A., and Akbari, M., “A Hybrid Method of Modified NSGA-II and Topsis to Optimize Performance and Emissions of a Diesel Engine using Biodiesel,” Applied Thermal Engineering, Vol. 59, No. 1, pp. 309–315, 2013.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Shojaeefard, M.H., Akbari, M. & Asadi, P. Multi objective optimization of friction stir welding parameters using FEM and neural network. Int. J. Precis. Eng. Manuf. 15, 2351–2356 (2014). https://doi.org/10.1007/s12541-014-0600-x
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12541-014-0600-x