Author(s):
1. Branislav Sredanović, University of Banja Luka, Faculty of mechanical engineering, Republic of Srpska, Bosnia and Herzegovina
2. Gordana Lakić Globočki, University of Banja Luka, Faculty of mechanical engineering, Republic of Srpska, Bosnia and Herzegovina
3. Davorin Kramar, University of Ljubljana, Faculty of Mechanical Engineering, Slovenia
4. Janez Kopač, University of Ljubljana, Faculty of Mechanical Engineering, Slovenia

Abstract:
Cutting forces is very important indicator of machining process. Knowledge about values and behavior of cutting forces has significant role in machining process defining (defining of material machinability, tool wear, vibrations, temperature in cutting zone, accuracy of process, dimensioning ofmachine elements, modeling, monitoring and management of machining process). Modeling of cutting forces is relative difficult due to a number of influenced factors and unknowing of interaction between them. Cutting force modeling in turning of hard alloy steel was realized based on experiments with different input parameters. Experimental research, result analyses, modeling with application of artificial neural networks and regression analyze was performed.

Thematic field:
Production Technologies and Engineering

Date of abstract submission:
26.03.2015.

Conference:
DEMI 2013