Mathematical Modelling of a Friction Stir Welding Process to Predict the Joint Strength of Two Dissimilar Aluminium Alloys Using Experimental Data and Genetic Programming by Mohammed Yunus, Mohammad S. Alsoufi

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A comprehensive review on the integration of artificial intelligence in friction stir welding for monitoring, modelling, and process optimization by Mostafa Akbari, Ezatollah Hassanzadeh, Yaghuob Dadgar Asl, Amirhossein Moghanian

“…By adopting this structured approach, the review articulates the comprehensive benefits of integrating AI into the friction stir welding process, ultimately contributing to enhanced joint quality and improved operational efficiency.…”
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Interfacial intermetallic compound layer in friction stir welded Mg/Al joints: Relationship between thickness and the welding temperature history by Xuesong Fu, Ke Chen, Qingsong Zhang, Nannan Chen, Min Wang, Xueming Hua

“…In the current study, Mg alloy and Al alloy were friction stir butt welded (FSW) under different tool rotation speeds (TRS) to obtain different thicknesses of IMC layers. …”
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Unveiling Surface Roughness Trends and Mechanical Properties in Friction Stir Welded Similar Alloys Joints Using Adaptive Thresholding and Grayscale Histogram Analysis by Haider Khazal, Azzeddine Belaziz, Raheem Al-Sabur, Hassanein I. Khalaf, Zerrouki Abdelwahab

“…The average hardness in the stir zone was measured at 64 HV, compared to 50 HV in the base material, indicating a strengthening effect induced by the welding process. …”
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