20.500.12556/DKUM-27522 Neural-network-based numerical control for milling machine We describe a device which uses a neural network to generate part-programs for milling, drilling and similar operations on machining centres, on the basis of 2D, 2.5D or 3D geometric models of prismatic parts, without operator intervention. The neural network consists of networks for prediction of milling strategy, for prediction of surface quality and for the optimisation of technological parameters in milling. We introduce the surface complexity index (SCI) for identifying surfaces which are very difficult to machine. The SCI takes the surface roughness and machining strategy into account. Teaching and testing of the NN is described. The device, which can be retrofitted to a CNC controller, can be trained from a set of typical parts and will then generate new NC part-programs. A case study of a tool used in the automotive supplier industry shows how a milling strategy is proposed, according to set constraints. intelligent CNC control retrofit CNC intelligent CAD/CAM neural networks machining centres inteligentno CNC krmilje nadgradnja CNC krmilja inteligentni CAD/CAM nevronske mreže obdelovalni centri true false false Angleški jezik Angleški jezik Neznano 2012-06-01 11:35:15 2012-06-01 11:35:15 2022-04-15 03:45:05 2019-07-10 12:18:33 2004 0 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.89:621.7 8836630 0921-0296 URN:SI:UM:DK:WYQIHT9C http://dx.doi.org/10.1023/B:JINT.0000042183.02570.7f 1 https://dk.um.si/Dokument.php?lang=slv&id=36823 Fakulteta za strojništvo 0 0 0