Artificial neural network prediction and grey relational grade optimisation of friction stir processing

AbstractThe study predicts friction stir process (FSP) parameters using an artificial neural network (ANN) model. A design of experiment (DoE) approach is used to conduct experiments on FSP and to evaluate the best operating parameters of FSP. ANN uses 30 neurons, 1 hidden layer, and an input and ou...

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Bibliographic Details
Main Authors: Wable A D, Patil S B, Pardeshi S S
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Cogent Engineering
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/23311916.2022.2107760