Surface roughness prediction in turning of femoral head

Galanis, NI; Manolakos, DE

dc.contributor.author	Galanis, NI	en
dc.contributor.author	Manolakos, DE	en
dc.date.accessioned	2014-03-01T01:34:43Z
dc.date.available	2014-03-01T01:34:43Z
dc.date.issued	2010	en
dc.identifier.issn	0268-3768	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/20814
dc.subject	Femoral head	en
dc.subject	High-speed machining	en
dc.subject	Surface roughness	en
dc.subject	Taguchi method	en
dc.subject.classification	Automation & Control Systems	en
dc.subject.classification	Engineering, Manufacturing	en
dc.subject.other	AISI316L stainless steel	en
dc.subject.other	Cutting speed	en
dc.subject.other	Depth of cut	en
dc.subject.other	Feed-rates	en
dc.subject.other	Femoral heads	en
dc.subject.other	First-order	en
dc.subject.other	High speed machining	en
dc.subject.other	Influencing factor	en
dc.subject.other	Interaction term	en
dc.subject.other	Machining test	en
dc.subject.other	Response Surface Methodology	en
dc.subject.other	Second-order models	en
dc.subject.other	Surface roughness model	en
dc.subject.other	Taguchi	en
dc.subject.other	Cutting tools	en
dc.subject.other	Machine tools	en
dc.subject.other	Machining	en
dc.subject.other	Metal analysis	en
dc.subject.other	Regression analysis	en
dc.subject.other	Stainless steel	en
dc.subject.other	Surface properties	en
dc.subject.other	Taguchi methods	en
dc.subject.other	Titanium carbide	en
dc.subject.other	Titanium nitride	en
dc.subject.other	Surface roughness	en
dc.title	Surface roughness prediction in turning of femoral head	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/s00170-010-2616-4	en
heal.identifier.secondary	http://dx.doi.org/10.1007/s00170-010-2616-4	en
heal.language	English	en
heal.publicationDate	2010	en
heal.abstract	This paper is dealing with the development of a surface roughness model for turning of femoral heads from AISI 316L stainless steel. The model is developed in terms of cutting speed, feed rate and depth of cut, using response surface methodology. Machining tests were carried out with TiN-Al2O 3-TiC-coated carbide cutting tools under various conditions. First-order and second-order models predicting equations for surface roughness have been established by using the experimental results. The established equation shows that the depth of cut was the main influencing factor on the surface roughness. It increased with increasing the depth of cut and feed rate, respectively, but it decreased with increasing the cutting speed. In addition, analysis of variance for the second-order model shows that the interaction terms and the square terms are statistically insignificant. The predicted surface roughness of the samples was found close to the experimentally obtained results within a 95% confident interval. © 2010 Springer-Verlag London Limited.	en
heal.publisher	SPRINGER LONDON LTD	en
heal.journalName	International Journal of Advanced Manufacturing Technology	en
dc.identifier.doi	10.1007/s00170-010-2616-4	en
dc.identifier.isi	ISI:000283141100008	en
dc.identifier.volume	51	en
dc.identifier.issue	1-4	en
dc.identifier.spage	79	en
dc.identifier.epage	86	en