Determination of the Cutting Forces in a Face Milling Operation Using the Artificial Neural Networks

• Autorzy: Manić, M. , Tanikić, D. , Nikolić, V.
• Języki publikacji: EN

Abstrakty

EN

The magnitude of the cutting force, which occurs during the face milling process, depends on many factors such as the cutting depth, the velocity of accessory motion, the number of revolutions of the main spindle, the feed rate, type of material of the cutting tool and the machined part etc. Anyway, calculating this force is not a simple problem and that is the reason why, in some cases, it is expedient to use empirical forms or interpolation formulas obtained by processing of measuring results in laboratory conditions. In order to calculate cutting force, the results have been processed in two ways: using a multifactorial experiment and using artificial neural networks. Results of this work show that an artificial neural network can be very useful in the cutting force prediction.

Słowa kluczowe

EN

face milling; multifactorial experiment; artificial neural network

• Czasopismo: Machine Dynamics Problems
• Rocznik: 2005
• Tom: Vol. 29, No. 3
• Strony: 51--58
• Opis fizyczny: Bibliogr. 5 poz., tab., wykr.

Twórcy

autor

Manić, M.

• Mechanical Engineering Faculty, University of Niš,

autor

Tanikić, D.

• Technical Faculty Bor, University of Belgrade,

autor

Nikolić, V.

• Mechanical Engineering Faculty, University of Niš,

Bibliografia

• 1. Kalajdźić, M., Tanovic, Lj., Babic, B., 2001, Technology of Metal Cutting Process-Handbook, Faculty of Mechanical Engineering-Belgrade University.
• 2. Pavlovic, A., 1980, The Basics of Theory of Factorial Experiment Planning, Mechanical Engineering Faculty - University of Niś.
• 3. Gurney, K., Computers and Symbols versus Nets and Neurons, Dept. Human Sciences, Brunel Un., Uxbridge, Middx.
• 4. Tanikić, D., Manić, M., 2003, The Use of Neural Networks in Predicting Process Parameters, 8th International Conference on Flexible Technologies, Novi Sad, 23-25.
• 5. Tanikić, D., 2004, Determining Technological Parameters of Metal Cutting Process Using Artificial Neural Networks, MSc Thesis, Mechanical Engineering Faculty-University of Niś.