Szczegóły publikacji
Opis bibliograficzny
High pressure die casting process optimization using artificial intelligence / MALINOWSKI Paweł // W: WFC 2024 [Dokument elektroniczny] : 75th World Foundry Congress : October 25-30, 2024, Deyang, China. — Wersja do Windows. — Dane tekstowe. — [China : Foundry Institution of Chinese Mechanical Engineering Society (FICMES)], [2024]. — S. 606–607. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: https://www.75wfc.com/uploads/pdf/10/10-1143-606.pdf [2026-06-29]. — Bibliogr. s. 607, Abstr.
Autor
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 168593 |
|---|---|
| Data dodania do BaDAP | 2026-07-21 |
| Rok publikacji | 2024 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
Abstract
High Pressure Die Casting technology makes it possible to make precision castings of light metal alloys such as Aluminum. The PLC of the pressure machine monitors dozens of process parameters such as temperature, pressure, doping curve, vacuum level, etc. The number of parameters that affect casting quality is very large. Using the artificial intelligence system, it is possible to build a model that can predict the quality of a casting in real time, suggest to the operator what steps he should take to achieve high casting quality. By using the artificial intelligence system, it is possible to improve the quality of castings, reduce the number of defects, and increase production efficiency. The large number of production parameters makes it impossible for humans to analyze the process. Artificial intelligence algorithms including machine learning algorithms or neural networks perform these tasks very well. Improving the quality of castings is one of the most essential elements of optimizing the production process.
