- Tytuł:
- Comparing deterministic and statistical approaches for predicting “short can” defects in aluminium beverage can production
- Autorzy:
-
Baran, Wojciech
Regulski, Krzysztof
Kąc, Sławomir
Milenin, Andrij - Powiązania:
- https://bibliotekanauki.pl/articles/29519771.pdf
- Data publikacji:
- 2023
- Wydawca:
- Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
- Tematy:
-
short can
deterministic
analysis
statistical methods
predict
defect
reduce
decizion trees - Opis:
- In the production of beverage cans, “short can” defects in the form of material discontinuities can occur during the deep drawing of cylindrical thin-walled aluminium products. These defects have a significant impact on production efficiency and scrap generation, and their occurrence is influenced by material and process properties. To determine the main influence of material on defect occurrence, two approaches were used: deterministic analysis of mechanical properties and microstructure, as well as statistical processing of production data using decision tree models. The latter approach was found to be more efficient, and a numerical tool was developed based on this approach to predict and reduce defect occurrence in the production process.
- Źródło:
-
Computer Methods in Materials Science; 2023, 23, 2; 29-38
2720-4081
2720-3948 - Pojawia się w:
- Computer Methods in Materials Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł