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

被引：0

作者：

Liu, Xiwen ^{[1
]}

Liu, Chaoying ^{[1
]}

机构：

[1] Zhaoqing Univ, Dept Elect Informat & Mech Engn, Zhaoqing 510640, Peoples R China

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON APPLIED SCIENCE AND ENGINEERING INNOVATION | 2015年 / 12卷

关键词：

ANN model; weld molten pool depth; control;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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.

引用

页码：425 / 430

页数：6