Development of an Artificial Intelligence Powered TIG Welding Algorithm for the Prediction of Bead Geometry for TIG Welding Processes using Hybrid Deep Learning

Development of an Artificial Intelligence Powered TIG Welding Algorithm for the Prediction of Bead Geometry for TIG Welding Processes using Hybrid Deep Learning

Recent developments in artificial intelligence (AI) modeling tools allows for envisaging that AI will remove elements of human mechanical effort from welding operations. This paper contributes to this development by proposing an AI tungsten inert gas (TIG) welding algorithm that can assist human wel...

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Bibliographic Details
Main Authors: Martin A. Kesse, Eric Buah, Heikki Handroos, Godwin K. Ayetor
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Metals
Subjects:
TIG welding
artificial intelligence
deep neural network
automation
Online Access:https://www.mdpi.com/2075-4701/10/4/451

Internet

https://www.mdpi.com/2075-4701/10/4/451

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