Sustainability-based optimization of dissimilar friction stir welding parameters in terms of energy saving, product quality, and cost-effectiveness
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-07898-8.pdf
Reference54 articles.
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2. Babajanzade RS, Behboodi JM, Teimouri R, Asgharzadeh-Ahmadi G, Falahati-Naghibi M, Sohrabpoor H (2013) Optimization of friction stir welding process of AA7075 aluminum alloy to achieve desirable mechanical properties using ANFIS models and simulated annealing algorithm. Int J Adv Manuf Technol 69:1803–1818. https://doi.org/10.1007/s00170-013-5131-6
3. Karthikeyan R, Balasubramanian V (2013) Statistical optimization and sensitivity analysis of friction stir spot welding process parameters for joining AA 7075 aluminum alloy. Exp Tech 37:6–15. https://doi.org/10.1111/j.1747-1567.2011.00746.x
4. Chase DC, Brian TG, David RD, Alvin MS, George EC (2014) A method for double-sided friction stir spot welding. J Manuf Process 16:241–247. https://doi.org/10.1016/j.jmapro.2013.10.006
5. Cook GE, Crawford R, Clark DE, Strauss AM (2004) Robotic friction stir welding. Ind Robot 31:55–63. https://doi.org/10.1108/01439910410512000
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