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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

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_3035074800

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

About this item

Full title

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

Publisher

Switzerland: MDPI AG

Journal title

Materials, 2024-01, Vol.17 (3), p.672

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

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 one was used to classify good/bad joints with MLP...

Alternative Titles

Full title

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

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_3035074800

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_3035074800

Other Identifiers

ISSN

1996-1944

E-ISSN

1996-1944

DOI

10.3390/ma17030672

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