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

Abstract:
Empirical modelling is the most widely used way to model very complex processes, such as, for example, laser assisted milling. This paper starts with a short overview of techniques used in modelling of laser assisted milling up to date. In the second part of the paper a case study and a comparison of different techniques for empirical modelling the actual laser assisted milling process is presented. The impact of four process parameters, including two machining (spindle speed and depth of cut) and two laser (laser power and distance between the laser spot and the cutting tool) on the cutting forces is investigated.

Key words:
empirical modelling, ,laser assisted milling, ,DOE, ,artificial neural networks

Thematic field:
Production and Computer-Aided Technologies

Date of abstract submission:
26.02.2017.

Conference:
13th International Conference on Accomplishments in Mechanical and Industrial Engineering

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