Prediction of Tool Eccentricity Effects on the Mechanical Properties of Friction Stir Welded AA5754-H24 Aluminum Alloy Using ANN Model

Prediction of Tool Eccentricity Effects on the Mechanical Properties of Friction Stir Welded AA5754-H24 Aluminum Alloy Using ANN Model

The current study uses three different pin eccentricities (e) and six different welding speeds to investigate the impact of pin eccentricity on friction stir welding (FSW) of AA5754-H24. To simulate and forecast the impact of (e) and welding speed on the mechanical properties of friction stir welded...

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Bibliographic Details
Main Authors: Ahmed R. S. Essa, Mohamed M. Z. Ahmed, Aboud R. K. Aboud, Rakan Alyamani, Tamer A. Sebaey
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Materials
Subjects:
friction stir welding
artificial neural network
tool pin eccentricity
mechanical properties
ANN
Online Access:https://www.mdpi.com/1996-1944/16/10/3777

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https://www.mdpi.com/1996-1944/16/10/3777

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