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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2023-12-01
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Series: | Cogent Engineering |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/23311916.2022.2107760 |