Enhancing Mechanical Performance of Friction Stir Welded AZ31 Magnesium Alloy with Nano-TiC Reinforcements Using Grey Relational Analysis
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12541-024-01096-3.pdf
Reference58 articles.
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2. Anbarasi, J., Yaknesh, S., Sampathkumar, K., & Rajamurugu, N. (2022). Performance characteristics optimization in dissimilar friction stir welding using Grey relational analysis. Materials Today: Proceedings, 55, 294–298. https://doi.org/10.1016/j.matpr.2021.07.302
3. Ay, M., & Sarsılmaz, F. (2023). Optimization of friction stir welding process parameters using multi-criteria decision making approach. Materials Testing, 65(4), 603–615. https://doi.org/10.1515/mt-2022-0432
4. Ravikumar, S., Rao, V. S., & Pranesh, V. (2014). Multiple response optimization with grey relational analysis of friction stir welding parameters in joining dissimilar aluminium alloys by taguchi method. Applied Mechanics and Materials, 592–594, 555–559. https://doi.org/10.4028/www.scientific.net/amm.592-594.555
5. Yadav, P. K., & Khurana, M. K. (2021). Study of the performance parameters of friction stir welded magnesium AZ31B alloy at optimized process parameters. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 235(21), 5525–5541. https://doi.org/10.1177/0954406221992401
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