Neural Network Model and Control of GMAW Molten Pool Depth with Single-V Groove

DOI

10.2991/asei-15.2015.86How to use a DOI?

Keywords

ANN model, weld molten pool depth, control.

Abstract

An Artificial Neural Network (ANN) model of molten pool depth for Gas Metal Arc Welding process on plate with single-V groove and its intelligent control method are proposed in this paper. That how to select welding parameters as ANN models’ input is mainly discussed, and fuzzy theory is used for molten pool depth control. The effectiveness of the proposed methods is demonstrated by the real experiments.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiwen Liu
AU  - Chaoying Liu
PY  - 2015/05
DA  - 2015/05
TI  - Neural Network Model and Control of GMAW Molten Pool Depth with Single-V Groove
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 425
EP  - 430
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.86
DO  - 10.2991/asei-15.2015.86
ID  - Liu2015/05
ER  -