Prediction of mechanical properties and hardness of friction stir welding of Al 5083/pure Cu using ANN, ICA and PSO model

Prediction of mechanical properties and hardness of friction stir welding of Al 5083/pure Cu using ANN, ICA and PSO model

Abstract The effect of parameters involved in prediction of mechanical properties of Friction Stir Welding have been investigated in this study through modeling. For this purpose, the friction stir welding on both sheets of 5083 Aluminum (Al5083) and pure Copper (Cu) was experimentally conducted at...

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Bibliographic Details
Main Authors: Hadi Tagimalek, Mohammad Reza Maraki, Masoud Mahmoodi, Hossein Kardan Moghaddam, Salar Farzad-Rik
Format: Article
Language:English
Published: Springer 2022-03-01
Series:SN Applied Sciences
Subjects:
Friction stir welding
Mechanical properties
Artificial neural networks
Imperialist competitive algorithm
Particle swarm optimization
Online Access:https://doi.org/10.1007/s42452-022-04989-y

Internet

https://doi.org/10.1007/s42452-022-04989-y

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