Modeliranje funkcija obradivosti pri procesu obrade glodanjem

Abstract

U radu je izvršeno eksperimentalno istraživanje procesa obrade glodanjem u cilju saznanja o obradivosti legure aluminijuma dobijene sa dva različita tipa livenja. Izvršeno je modeliranje funkcija obradivosti preko izmerenih karakteristika stanja procesa: sila rezanja, hrapavosti obrađene površine, temperature u procesu rezanja i faktora sabijanja strugotine. Modeliranje funkcija obradivosti je izvršeno pomoću faktornog plana eksperimenta, kao i primenom veštačkih neuronskih mreža i fazi logike. Optimizacija ulaznih parametara procesa obrade glodanjem sprovedena je pomoću Taguči metode. Proces glodanja simuliran je pomoću metoda konačnih elemenata.

In this work an experimental research of the milling process were performed in order to find out the machinability of aluminum alloys which are obtained with two different types of casting procedure. Modeling of machinability functions is performed through the measured process state characteristics: cutting force, surface roughness, temperature in the cutting zone and chip compression ratio. Modeling of the machinability functions was performed using a full factorial experiment and through the model of artificial neural networks and fuzzy logic. Optimization of process input values in defined models is performed through Taguchi methods. The process of milling is simulated with finite element method.