20.500.12556/DKUM-27865 Intelligent tool path generation for milling of free surfaces using neural networks The presented paper has an intention to show how with the help of Artificial Neural Network (ANN), the prediction of milling tool-path strategy could be made in order to establish which milling path strategy or their sequence will show the best results (will be the most appropriate) at free surface machining, according to set technological aim. In our case the best possible surface quality of machined surface was taken as the primary technological aim. Configuration of used Neural Network (NN) is presented, and the whole procedure is shown on an example of mould, for producing light switches. The verification of machined surface quality, according to average mean roughness, Ra, is also being done, and compared with the NN predicted results neural network CAD/CAM CAPP ICAM milling strategy nevronske mreže CAD/CAM CAPP ICAM frezala frezalna strategija true false false Angleški jezik Angleški jezik Neznano 2012-06-01 13:04:10 2012-06-01 13:04:10 2022-04-15 03:45:48 2019-07-10 12:22:34 2002 0 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 621.914.2 7318550 0890-6955 URN:SI:UM:DK:Z2YOE4JR http://dx.doi.org/10.1016/S0890-6955(02)00045-7 1 https://dk.um.si/Dokument.php?lang=slv&id=37205 Fakulteta za strojništvo 0 0 0