Development of an Artificial Intelligence-Based System for Predicting Weld Bead Geometry

Development of an Artificial Intelligence-Based System for Predicting Weld Bead Geometry

The prediction of the weld bead geometry parameters is an important aspect of welding processes due to it is related to the strength of the welded joint. This research focuses on using statistical design techniques and a deep learning neural network to predict the weld bead shape parameters of shiel...

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Bibliographic Details
Main Authors: Ngoc-Hien Tran, Van-Hung Bui, Van-Thong Hoang
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Applied Sciences
Subjects:
predictive system
shielded metal arc welding (SMAW)
metal inert gas (MIG)
tungsten inert gas (TIG)
artificial intelligence
regression model
Online Access:https://www.mdpi.com/2076-3417/13/7/4232

Internet

https://www.mdpi.com/2076-3417/13/7/4232

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