Title
Modeling of the Abrasive Water Jet machining by ANN in uncertainty conditions
Authors
[ 1 ] Wydział Techniczny, Akademia im. Jakuba z Paradyża | [ P ] employee
Scientific discipline (Law 2.0)
[2.3] Information and communication technology[2.9] Mechanical engineering
Year of publication
2024
Published in
Article type
scientific article / paper
Publication language
english
Keywords
EN
- cutting efficiency
- abrasive water jet
- artificial neural network
- modeling
Abstract
EN This article presents the using of artificial neural networks in modeling of abrasive water jet (AWJ) cut process of brass. Three-ply layer perceptron type network with an error Broyden - Fletcher - Goldfarb - Shanno (BFGS) learning algorithm was applied to modeling this process. The paper provides detailed description of used neural network. This neural network simulates the machining process end influence of control parameters as abrasive grain size, nozzle ID, abrasive flow and traverse speed on cutting efficiency under given parameters. The results were comparison with the laboratory results of complex studies on parameters of brass cutting by AWJ.
Pages (from - to)
2176 - 2184
License type
CC BY-NC-ND (attribution - noncommercial - no derivatives)
Open Access Mode
open repository
Open Access Text Version
final published version
Release date
11.2024
Date of Open Access to the publication
at the time of publication
Ministry points / journal
5
Ministry points / conference (CORE)
70
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