In-process prediction of weld penetration depth using machine learning-based molten pool extraction...
In-process prediction of weld penetration depth using machine learning-based molten pool extraction technique in tungsten arc welding
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Publisher
New York: Springer US
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Language
English
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Publisher
New York: Springer US
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Scope and Contents
Contents
Even though arc welding is widely utilized to join metallic parts with high reliability, the prediction and control of welding quality is challenging owing to difficulties in the prediction of weld penetration depth and the backside bead. In this study, an effective method for predicting weld penetration based on deep learning was proposed to contr...
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Full title
In-process prediction of weld penetration depth using machine learning-based molten pool extraction technique in tungsten arc welding
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TN_cdi_proquest_journals_2914341671
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2914341671
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ISSN
0956-5515
E-ISSN
1572-8145
DOI
10.1007/s10845-022-02013-z
