Naslov: | Prediction of surface roughness with genetic programming |
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Avtorji: | ID Brezočnik, Miran (Avtor) ID Kovačič, Miha (Avtor) ID Ficko, Mirko (Avtor) |
Datoteke: | http://dx.doi.org/10.1016/j.jmatprotec.2004.09.004
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Jezik: | Angleški jezik |
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Vrsta gradiva: | Neznano |
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Tipologija: | 1.01 - Izvirni znanstveni članek |
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Organizacija: | FS - Fakulteta za strojništvo
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Opis: | In this paper we propose genetic programming to predict surface roughness in end-milling. Two independent data sets were obtained on the basis of measurement: training data set and testing data set. Spindle speed, feed rate,depth of cut, and vibrations are used as independent input variables (parameters), while surface roughness as dependent output variable. On the basis of training data set, different models for surface roughness were developed by genetic programming. Accuracy of the best model was proved with the testing data. It was established that the surface roughness is most influenced by the feed rate, whereas the vibrations increase the prediction accuracy. |
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Ključne besede: | end milling, surface roughness, prediction of surface roughness, genetic programming |
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Leto izida: | 2004 |
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PID: | 20.500.12556/DKUM-27532  |
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UDK: | 621.914:004.89 |
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COBISS.SI-ID: | 9026582  |
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ISSN pri članku: | 0924-0136 |
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NUK URN: | URN:SI:UM:DK:CX2LMQOO |
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Datum objave v DKUM: | 01.06.2012 |
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Število ogledov: | 2154 |
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Število prenosov: | 135 |
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Metapodatki: |  |
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Področja: | Ostalo
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Vaša ocena: | Ocenjevanje je dovoljeno samo prijavljenim uporabnikom. |
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