Author(s):
1. Tomaz Irgolic, University of Maribor, Faculty of Mechanical Engineering, Slovenia
2. Franc Cus, University of Maribor, Faculty of Mechanical Engineering, Slovenia
3. Janez Kopač, University of Ljubljana, Faculty of Mechanical Engineering, Slovenia

Abstract:
This paper shows the general properties of laser cladding that have recently added new possibilities for the local surface repairing of metal mechanical elements. Despite the fact that the technology for laser cladding is highly developed any obtained surface roughness cannot not be predicted and usually additional grinding or milling process are needed to obtain the required surface roughness. Bad surface roughness is undesirable and additional machining is needed for improving surface quality. Milling was chosen in order to improve roughness. The basic idea of the research was to measure the cutting forces under different cutting conditions and produce a model that would be able to predict cutting forces by milling layers of functionally graded material at different cutting parameters. The first basic prediction model was obtained by measuring the cutting forces in the three main directions of the coordinate system by milling clad layer and changing the cutting parameters.

Key words:
Milling,Functionally-Graded Material,Laser Cladding,Artificial Neural Network

Date of abstract submission:
04.05.2015.

Conference:
12th International conference on accomplishments in Electrical and Mechanical Engineering and Information Technology (DEMI 2015)

Final paper