Development of FSW Process Parameters for Lap Joints Made of Thin 7075 Aluminum Alloy Sheets

Development of FSW Process Parameters for Lap Joints Made of Thin 7075 Aluminum Alloy Sheets

The article describes machine learning using artificial neural networks (ANNs) to develop the parameters of the friction stir welding (FSW) process for three types of aluminum joints (EN AW 7075). The ANNs were built using a total of 608 experimental data. Two types of networks were built. The first...

Full description

Bibliographic Details
Main Authors: Piotr Lacki, Anna Derlatka, Wojciech Więckowski, Janina Adamus
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Materials
Subjects:
artificial neural networks
friction stir welding
aluminum alloys
lap joints
thin sheets
Online Access:https://www.mdpi.com/1996-1944/17/3/672

Similar Items

Similar Items