- Tytuł:
- Artificial Neural Networks as a Tool for Supporting a Moulding Sand Control System Based on the Dependency between Selected Moulding Sand Properties
- Autorzy:
-
Mrzygłód, Barbara
Jakubski, Jarosław
Opaliński, Andrzej
Regulski, Krzysztof - Powiązania:
- https://bibliotekanauki.pl/articles/24201264.pdf
- Data publikacji:
- 2023
- Wydawca:
- Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
- Tematy:
-
artificial neural network
decision support
green moulding sand
compactibility - Opis:
- The article presents the potential for using artificial neural networks to support decisions related to the rebonding of green moulding sand. The basic properties of the moulding sand tested in foundries are discussed, especially compactibility as it gives the most information about the quality of green moulding sand. First, the data that can predict the compactibility value without the need for testing are defined. Next, a method for constructing an artificial neural network is presented and the network model which produced the best results is analysed. Additionally, two applications were designed to allow the investigation results to be searchable by determining the range of values of the moulding sand parameters.
- Źródło:
-
Journal of Casting & Materials Engineering; 2023, 7, 2; 15--21
2543-9901 - Pojawia się w:
- Journal of Casting & Materials Engineering
- Dostawca treści:
- Biblioteka Nauki
Artykuł