Artificial neural network based fatigue life assessment of friction stir welding AA2024-T351 aluminum alloy and multi-objective optimization of welding parameters

2022-03-06 Hits:

Affiliation of Author(s):University of Electronic Science and Technology of China

Place of Publication:International Journal of Fatigue

Key Words:Friction stir welding; Artificial neural network; Fatigue life; Aluminum alloy; Fracture toughness

Abstract:In this paper, the fracture behavior and fatigue crack growth rate of the 2024-T351 aluminum alloy has been investigated. At first, the 2024-T351 aluminum alloys have been welded using friction stir welding procedure and the fracture toughness and fatigue crack growth rate of the CT specimens have been studied experimentally based on ASTM standards. After that, in order to predict fatigue crack growth rate and fracture toughness, artificial neural network is used. To obtain the best neuron number in the hidden layer of the artificial neural network, different neuron numbers are tested and ...

All the Authors:Nima Sina,Danial Ghahremani Moghadam,Ricardo Branco,Wojciech Macek,Filippo Berto

Indexed by:Research Paper

Correspondence Author:Reza Masoudi Nejad

Document Code:106840

Discipline:Engineering

First-Level Discipline:Mechanical engineering

Volume:160

Page Number:106840

ISSN No.:0142-1123

Translation or Not:no

Date of Publication:2022-03-05

Date of Publication:2022-03-05