Development of an Artificial Neural Network Model to Predict the Tensile Strength of Friction Stir Welding of Dissimilar Materials Using Cryogenic Processes

Development of an Artificial Neural Network Model to Predict the Tensile Strength of Friction Stir Welding of Dissimilar Materials Using Cryogenic Processes

The objective of this study was to develop an artificial neural network (ANN) model for predicting the tensile strength of friction stir welding (FSW) joints between dissimilar materials, with a particular focus on aluminum and copper, using cryogenic processes. The research addresses the challenges...

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Bibliographic Details
Main Authors: Mingoo Cho, Jinsu Gim, Ji Hoon Kim, Sungwook Kang
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Applied Sciences
Subjects:
friction stir welding
dissimilar materials
aluminum alloy
copper alloy
finite element method
tensile strength
Online Access:https://www.mdpi.com/2076-3417/14/20/9309

Internet

https://www.mdpi.com/2076-3417/14/20/9309

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