Jože Balič (Avtor)

Povzetek

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.

Ključne besede

inteligentno CNC krmilje;nadgradnja CNC krmilja;inteligentni CAD/CAM;nevronske mreže;obdelovalni centri;intelligent CNC control;retrofit CNC;intelligent CAD/CAM;neural networks;machining centres;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UM FS - Fakulteta za strojništvo
UDK: 004.89:621.7
COBISS: 8836630 Povezava se bo odprla v novem oknu
ISSN: 0921-0296
Št. ogledov: 1167
Št. prenosov: 78
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Angleški jezik
Sekundarne ključne besede: inteligentno CNC krmilje;nadgradnja CNC krmilja;inteligentni CAD/CAM;nevronske mreže;obdelovalni centri;
URN: URN:SI:UM:
Strani: str. 343-358
Letnik: ǂVol. ǂ40
Zvezek: ǂiss. ǂ4
Čas izdaje: August 2004
ID: 8718704