About this document
ANN Modeling of AWJ Cutting Process by Ashirbad is a document available to read on EtoBox.
The article discusses the application of artificial neural networks (ANN) in modeling the abrasive water jet (AWJ) cutting process for brass, utilizing a three-layer perceptron network with the Broyden-Fletcher-Goldfarb-Shanno (BFGS) learning algorithm. It highlights the importance of optimizing cutting parameters such as abrasive grain size and traverse speed to enhance cutting efficiency and surface quality. The research findings indicate that ANN can effectively replace traditional modeling methods, offe
- Author
- Ashirbad
- Language
- EN