Optimization of turning parameters for surface roughness

Autor:	DAHBI, Samya, EL MOUSSAMI, Haj, EZZINE, Latifa
Přispěvatelé:	Sciencesconf.org, CCSD, Ecole Nationale Supérieure d'Arts et Métiers [Meknes] (ENSAM), Ecole Nationale Supérieure d'Arts et Métiers [Meknes], Ecole Supérieure de Technologie de Meknès (EST), Ecole Supérieure de Technologie de Meknès
Jazyk:	angličtina
Rok vydání:	2015
Předmět:	[SPI.OTHER]Engineering Sciences [physics]/Other Optimization Taguchi Design of Experiments [SPI.OTHER] Engineering Sciences [physics]/Other Regression model surface roughness turning
Zdroj:	Xème Conférence Internationale : Conception et Production Intégrées Xème Conférence Internationale : Conception et Production Intégrées, Dec 2015, Tanger, Morocco
Popis:	International audience; In this paper, Taguchi Design is used to identify the optimal combination of turning parameters to minimize the surface roughness. Turning experiments are carried out according to Taguchi orthogonal array L9 for various combinations of four parameters: cutting speed, feed rate, depth of cut and nose radius. For each experiment run, the surface roughness Ra is measured, recorded and analyzed using Taguchi S/N ratios. To confirm the effectiveness of the Taguchi optimization, confirmation test and regression model are used.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::46bb98f11fe194418cf30c96850867c1 https://hal.archives-ouvertes.fr/hal-01260818 Zobrazit plný text záznamu