Prediction of tensile strength of friction stir weld joints with adaptive neuro-fuzzy inference system (ANFIS) and neural network

Friction-stir-welding (FSW) is a solid-state joining process where joint properties are dependent on welding process parameters. In the current study three critical process parameters including spindle speed(N), plunge force (Fz), and welding speed (V) are considered key factors in the determination...

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Bibliographic Details
Published in:	Materials & design Vol. 92; pp. 288 - 299
Main Authors:	Dewan, Mohammad W., Huggett, Daniel J., Warren Liao, T., Wahab, Muhammad A., Okeil, Ayman M.
Format:	Journal Article
Language:	English
Published:	Marshall Space Flight Center Elsevier Ltd 15.02.2016 Elsevier
Subjects:	Adaptive neuro-fuzzy inference system Adaptive systems Artificial neural networks Cybernetics, Artificial Intelligence And Robotics Friction stir welding Fuzzy logic Learning theory Leave-one-out cross validation Mathematical models Mechanical Engineering Neural networks Process parameters Tensile strength Welding process parameters Welding process parameters Adaptive neuro-fuzzy inference system Friction stir welding Tensile strength Leave-one-out cross validation
ISSN:	0264-1275, 1873-4197
Online Access:	Get full text
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