| | SLO | ENG | Piškotki in zasebnost

Večja pisava | Manjša pisava

Izpis gradiva

Naslov:A Hybrid analytical-neural network approach to the determination of optimal cutting conditions
Avtorji:Župerl, Uroš (Avtor)
Čuš, Franc (Avtor)
Muršec, Bogomir (Avtor)
Ploj, Anton (Avtor)
Datoteke:URL http://dx.doi.org/10.1016/j.jmatprotec.2004.09.019
 
Jezik:Angleški jezik
Vrsta gradiva:Neznano ()
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FS - Fakulteta za strojništvo
Opis:In the contribution, a new hybrid optimization technique for complex optimization of cutting parameters is proposed. The developed approach is based on the maximum production rate criterion and incorporates 10 technological constrains. It describes the multi-objective techniqueof optimization of cutting conditions by means of the artificial neural network (ANN) and OPTIS routine by taking into consideration the technological, economic and organization limitations. The analytical module OPTIS selects theoptimum cutting conditions from commercial databases with respect to minimum machining costs. By selection of optimum cutting conditions, it is possible to reach a favourable ratio between the low machining costs and high productivity taking into account the given limitation of the cutting process. To reach higher precision of the predicet results, a hybrid optimization algorithm is developed and presented to ensure sample, fast and efficient optimization of all important turning parameters. _
Ključne besede:optimization, cutting conditions, turning, analytical-neural routine, database
Leto izida:2004
UDK:621.9:004
COBISS_ID:2170924 Povezava se odpre v novem oknu
ISSN pri članku:0924-0136
NUK URN:URN:SI:UM:DK:75Q7DLVX
Število ogledov:1371
Število prenosov:60
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
Področja:Ostalo
:
  
Skupna ocena:(0 glasov)
Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.
Objavi na:AddThis
AddThis uporablja piškotke, za katere potrebujemo vaše privoljenje.
Uredi privoljenje...

Postavite miškin kazalec na naslov za izpis povzetka. Klik na naslov izpiše podrobnosti ali sproži prenos.

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 Novo okno

Komentarji

Dodaj komentar

Za komentiranje se morate prijaviti.

Komentarji (0)
0 - 0 / 0
 
Ni komentarjev!

Nazaj
Logotipi partnerjev Univerza v Mariboru Univerza v Ljubljani Univerza na Primorskem Univerza v Novi Gorici