Estimating of cutting force and surface roughness in turning of GFRP composites with different orientation angles using artificial neural network

Glass fiber-reinforced polymer (GFRP) composite materials are widely used in many manufacturing industries due to their low density and high strength properties, and consequently, the need for precision machining of such composites has significantly increased. Since composite materials have an aniso...

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Bibliografske podrobnosti

Glavni avtor:	Yardimeden Ahmet
Format:	Artigo
Jezik:	Inglês
Izdano:	De Gruyter 2022-12-01
Serija:	Reviews on Advanced Materials Science
Teme:	gfrp fiber orientation machining surface roughness cutting force artificial neural network
Online dostop:	https://doi.org/10.1515/rams-2022-0286
Oznake:	Označite Brez oznak, prvi označite!