Neural networks are a forecasting tool that can be applied in many fields. Process sensing and data acquisition, for example, can be used to improve both the machinability and product properties during the manufacturing process.The time dynamics of these processes may be anywhere from highly dynamic to quasi-stationary. Our goal was to create a machinability database. The collected data will provide a basis for forecasting the cutting forces and cutting torque for new materials in the future. The force forecasts will also allow tool-wear monitoring and prediction.

Rights

URN

URN:NBN:SI:DOC-1DL78GLI

COBISSID

10332955

Added

16.09.2009

Metadata

Citation

APA:

Polanecka, Ivana, Korošec, Marjan, Kopač, Janez (2007). Nevronske mreže za napovedovanje sile pri vrtanju. Strojniški vestnik, volume 53, issue 11, str. 771-783. URN:NBN:SI:DOC-1DL78GLI from http://www.dlib.si

MLA:

Polanecka, Ivana, Korošec, Marjan, Kopač, Janez. "Nevronske mreže za napovedovanje sile pri vrtanju." Strojniški vestnik volume 53. issue 11 (2007) str. 771-783.
<http://www.dlib.si/?URN=URN:NBN:SI:DOC-1DL78GLI>

Strojniški vestnik
1955-
(Assembly record)

številka

Strojniški vestnik
2007
(Complete issue)

Nevronske mreže za napovedovanje sile pri vrtanjuDrilling-force forecasting using neural networks

Nevronske mreže za napovedovanje sile pri vrtanju
Drilling-force forecasting using neural networks