Intelligent prediction of milling strategy using neural networks

• Autorzy: Klancnik S. , Balic J. , Cus F.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

SOM neural networks; CAD/CAM system; feature extraction; milling strategy; CAD segmentation; STL model

• Wydawca: Systems Research Institute, Polish Academy of Sciences
• Czasopismo: Control and Cybernetics
• Rocznik: 2010
• Tom: Vol. 39, no 1
• Strony: 9--24
• Opis fizyczny: Bibliogr. 37 poz., rys., wykr.

Twórcy

autor

Klancnik S.

autor

Balic J.

autor

Cus F.

• University of Maribor, Faculty of Mechanical Engineering, Maribor, Slovenia,

Bibliografia

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