| | SLO | ENG | Piškotki in zasebnost

Večja pisava | Manjša pisava

Izpis gradiva Pomoč

Naslov:Prediction of surface roughness using a feed-forward neural network
Avtorji:ID Šenveter, Jernej (Avtor)
ID Klančnik, Simon (Avtor)
ID Balič, Jože (Avtor)
ID Čuš, Franc (Avtor)
Datoteke:URL http://www.review.univtech.eu/images/archiwum/nr2/6-senveter.pdf
 
Jezik:Angleški jezik
Vrsta gradiva:Neznano
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FS - Fakulteta za strojništvo
Opis:This article presents the development of a system for predicting surface roughness, using a feed-forward neural network. The primary goal was to develop a system in order to predict with complex reliability and defined accuracy. However, this system is designed in such a way that it is also possible to use it for various other workpieces. The described system uses a neural network which receives signals at the input level. The signals then travel through all hidden levels to the output level, where the responses to input signals are received. Data are used which affects the selection of surface roughness regarding the input to the neural network. Three different inputs in total are used for the neural network. Data which represents the inputs to the neural network are encoded, so that they occupy values between 0 and 1. Adequate cutting speed, feed, and depth of cut, are selected in order to achieve an adequate surface roughness of the workpiece, using the trained neural network. This contributes to the optimisation and economy of machining, which is very important during the production of an individual product and also for an individual company or organisation when transferring the final product to the contracting authority or final customer.
Ključne besede:machining, turning, surface roughness, neural network
Leto izida:2010
PID:20.500.12556/DKUM-26656 Novo okno
UDK:621.9
COBISS.SI-ID:14287638 Novo okno
ISSN pri članku:Y506-4848
NUK URN:URN:SI:UM:DK:VN1NJVM6
Datum objave v DKUM:31.05.2012
Število ogledov:2100
Število prenosov:64
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
:
Kopiraj citat
  
Skupna ocena:(0 glasov)
Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.
Objavi na:Bookmark and Share


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

Gradivo je del revije

Naslov:Management and production engineering review
Skrajšan naslov:Manag. Prod. Eng. Review
Založnik:Production Engineering Committee of the Polish Academy of Sciences
ISSN:2082-1344
COBISS.SI-ID:14277398 Novo okno

Sekundarni jezik

Jezik:Angleški jezik
Ključne besede:obdelovanje, struženje, površinska hrapavost, nevronske mreže


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