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Improved surface roughness as a result of free-form surface machining using self-organized neural network
Korošec, Marjan (Avtor), Kopač, Janez (Avtor)

URLURL - Predstavitvena datoteka, za dostop obiščite http://dx.doi.org/10.1016/j.matprotec.2007.10.080 Povezava se odpre v novem oknu

Izvleček
This paper is concerned with the free-form surface reorganization and assessment of a free-form model complexity, grouping particular surface geometrical properties within patch boundaries using self-organized Kohonen neural network (SOKN). Coordinate values of point cloud distributed at a particular surface were used as a surface properties descriptor, which was fedinto SOKN where representative neurons for curvature, slope and spatial surface properties were established. On the basis of this approach, the surface patch boundaries were reorganized in such a manner that the finished machining strategies gave the best possible surface roughness results. The patch boundaries were constructed in accordance with the Gaussian and mean curvature, in order to achieve a smooth transition between patches, and in this way, preserve or even improve the desired curve and surface continuities (C2 and G2). It is shown that by reorganization of the boundaries in respect of curvature, slope and spatial point distribution, the surface quality of the finished free-form surface is improved. This approach was experimentally verified on 22 free-form models which were reorganized by SOKN and machined with finish milling tool-path strategies. The results show rather good improvement of the mean surface roughness profile Ra for reorganized surfaces, when compared with unorganized surfaces.

Jezik:Angleški jezik
Ključne besede:nevronalne mreže, samoorganizirane mreže, hrapavosti površin, obdelave površin, proste oblike, kompleksnost površin, neural network, self-organiyed Kohonen neural network, free-form surface, surface complexity, neuron, proces element
Vrsta gradiva:Delo ni kategorizirano (r6)
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FS - Fakulteta za strojništvo
Leto izida:2008
Št. strani:str. 94-102
Številčenje:Letn. 204, št. 1/3
UDK:621.9
ISSN pri članku:0924-0136
DOI:10.1016/j.matprotec.2007.10.080 Povezava se odpre v novem oknu
COBISS.SI-ID:10505755 Povezava se odpre v novem oknu
Število ogledov:415
Število prenosov:140
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
 
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Gradivo je del revije

Naslov:Journal of materials processing technology
Skrajšan naslov:J. mater. process. technol.
Založnik:Elsevier
ISSN:0924-0136
COBISS.SI-ID:30105600 Povezava se odpre v novem oknu

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