- Tytuł:
- Intelligent prediction of milling strategy using neural networks
- Autorzy:
-
Klancnik, S.
Balic, J.
Cus, F. - Powiązania:
- https://bibliotekanauki.pl/articles/971013.pdf
- Data publikacji:
- 2010
- Wydawca:
- Polska Akademia Nauk. Instytut Badań Systemowych PAN
- Tematy:
-
SOM neural networks
CAD/CAM system
feature extraction
milling strategy
CAD segmentation
STL model - Opis:
- This paper presents the prediction of milling tool-path strategy using Artificial Neural Network (ANN), by taking the predefined technological objectives into account. In the presented case, the best possible surface quality of a machined surface was taken as the primary technological aim. This paper shows how feature extraction from a 3D CAD model, and classification using a self-organizing neural network, are done. The experimental results presented in this paper suggest that the prediction of milling strategy using the self-organizing neural network (SOM) is effective.
- Źródło:
-
Control and Cybernetics; 2010, 39, 1; 9-24
0324-8569 - Pojawia się w:
- Control and Cybernetics
- Dostawca treści:
- Biblioteka Nauki
Artykuł