A review of artificial intelligence techniques for optimizing friction stir welding processes and predicting mechanical properties
The implementation of artificial intelligence (AI) has been instrumental in the optimization of friction stir welding (FSW) parameters. Artificial intelligence (AI) techniques, including artificial neural networks (ANN) and adaptive neuro-fuzzy inference systems (ANFIS), were utilized to predict mec...
Saved in:
Main Authors: | Roosvel Soto-Diaz, Mauricio Vásquez-Carbonell, Jose Escorcia-Gutierrez |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-02-01
|
Series: | Engineering Science and Technology, an International Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2215098625000047 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Design Optimization of a 3-PUU Parallel Machine for Friction Stir Welding Robots
by: Eka Marliana, et al.
Published: (2025-01-01) -
Elucidating the process mechanism in Mg-to-Al friction stir lap welding enhanced by ultrasonic vibration
by: Ming Zhai, et al.
Published: (2025-01-01) -
The role of force and torque in friction stir welding: A detailed review
by: Mostafa Akbari, et al.
Published: (2025-06-01) -
Poetics of Friction
by: Nadja Ben Khelifa, et al.
Published: (2024-12-01) -
Design of Welded Structures /
by: Blodgett, Omer W.
Published: (1966)