Beyond parabolic weld bead models: AI-based 3D reconstruction of weld beads under transient conditions in wire-arc additive manufacturing

Author:

Petrik JanORCID,Sydow BenjaminORCID,Bambach Markus

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Metals and Alloys,Computer Science Applications,Modeling and Simulation,Ceramics and Composites

Reference21 articles.

1. Rbf-nn-based model for prediction of weld bead geometry in shielded metal arc welding (smaw);Ahmed;Neural Comput. Appl.,2018

2. Support vector regression;Awad;Efficient Learning Machines,2015

3. Comparative evaluation of machine learning regressors for the layer geometry prediction in wire arc additive manufacturing;Barrionuevo;2021 IEEE 12th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT),2021

4. Method for registration of 3-d shapes;Besl;Sensor Fusion IV: Control Paradigms and Data Structures,1992

5. Learning Phrase Representations Using RNN Encoder-Decoder for Statistical Machine Translation;Cho,2014

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