Artificial neural network modelling of cutting force components during AZ91HP alloy milling

• Autorzy: Kulisz M. , Zagórski I. , Semeniuk A.
• Języki publikacji: EN

Abstrakty

EN

The paper presents simulation of the cutting force components for ma-chining of magnesium alloy AZ91HP. The simulation employs the Black Box model. The closest match to (input and output) data obtained from the machining process was determined. The simulation was performed with the use of the Statistica programme with the application of neural networks: RBF (Radial Basis Function) and MLP (Multi-Layered Perceptron).

Słowa kluczowe

EN

simulation; cutting force; artificial neural networks; magnesium alloys

• Wydawca: Polskie Towarzystwo Promocji Wiedzy ; Lublin University of Technology
• Czasopismo: Applied Computer Science
• Rocznik: 2016
• Tom: Vol. 12, no 4
• Strony: 49--58
• Opis fizyczny: Bibliogr. 16 poz., fig., tab.

Twórcy

autor

Kulisz M.

• Department of Organisation of Enterprises, Faculty of Management, Lublin University of Technology, Nadbystrzycka 38, 20-618 Lublin, Poland

autor

Zagórski I.

• Department of Production Engineering, Faculty of Mechanical Engineering, Lublin University of Technology, Nadbystrzycka 36, 20-618 Lublin, Poland

autor

Semeniuk A.

• Fourth year student of Management and Production Engineering, Faculty of Management, Lublin University of Technology, Nadbystrzycka 38, 20-618 Lublin, Poland

Bibliografia

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