- Tytuł:
- Comparison of various tool wear prediction methods during end milling of metal matrix composite
- Autorzy:
-
Wiciak, M.
Twardowski, P.
Wojciechowski, S. - Powiązania:
- https://bibliotekanauki.pl/articles/94174.pdf
- Data publikacji:
- 2018
- Wydawca:
- Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
- Tematy:
-
tool wear
diagnosis
milling
metal matrix composite
zużycie narzędzi
diagnoza
kompozyt metalowy - Opis:
- In this paper, the problem of tool wear prediction during milling of hard-to-cut metal matrix composite Duralcan™ was presented. The conducted research involved the measurements of acceleration of vibrations during milling with constant cutting conditions, and evaluation of the flank wear. Subsequently, the analysis of vibrations in time and frequency domain, as well as the correlation of the obtained measures with the tool wear values were conducted. The validation of tool wear diagnosis in relation to selected diagnostic measures was carried out with the use of one variable and two variables regression models, as well as with the application of artificial neural networks (ANN). The comparative analysis of the obtained results enabled the selection of the most effective tool wear prediction method.
- Źródło:
-
Archives of Mechanical Technology and Materials; 2018, 38; 1-7
2450-9469 - Pojawia się w:
- Archives of Mechanical Technology and Materials
- Dostawca treści:
- Biblioteka Nauki
Artykuł