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
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Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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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...
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Full title
Development of FSW Process Parameters for Lap Joints Made of Thin 7075 Aluminum Alloy Sheets
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Record Identifier
TN_cdi_proquest_miscellaneous_3035074800
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_3035074800
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ISSN
1996-1944
E-ISSN
1996-1944
DOI
10.3390/ma17030672