Аутори:
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

Апстракт:
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.

Кључне речи:
empirical modelling, ,laser assisted milling, ,DOE, ,artificial neural networks

Тематска област:
Производне и рачунаром подржане технологије

Датум пријаве сажетка:
26.02.2017.

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

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