Process modeling with neural networks for pulsed GMAW braze welds
β Scribed by Dawn White; Jerald Jones
- Publisher
- The Minerals, Metals & Materials Society
- Year
- 1997
- Tongue
- English
- Weight
- 1015 KB
- Volume
- 49
- Category
- Article
- ISSN
- 1047-4838
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
This paper addresses the weld joint strength monitoring in pulsed metal inert gas welding (PMIGW) process. Response surface methodology is applied to perform welding experiments. A multilayer neural network model has been developed to predict the ultimate tensile stress (UTS) of welded plates. Six p
## Abstract This article describes a novel implementation of the dualβmode (DM) control utilizing a neural network inverse model on a multivariable process (a steel pickling process). This process is highly nonlinear with variableβinteraction, and is multivariable in nature, hence an accurately non