Neural Network Model and Control of GMAW Molten Pool Depth with Single-V Groove
Xiwen Liu, Chaoying Liu
Available Online May 2015.
- 10.2991/asei-15.2015.86How to use a DOI?
- ANN model, weld molten pool depth, control.
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.
- © 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/).
Cite this article
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 -