2010
DOI: 10.4028/www.scientific.net/ssp.165.43
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Tensor Interpolation of Tribological Wear in Ionitriding of 316L Steel

Abstract: The research results for polynomial tensor interpolation of tribological wear of austenitic 316L steel are analyzed for the first time in this paper. A tribological study was carried out on the tester T-05, both for samples after the process of glow discharge nitriding and for samples of 316L steel in the initial state [1, 2]. The influence of the nitriding parameters on the weight loss of the samples during the abrasion test and the friction coefficient of the abrasion pair were determined. In this paper the … Show more

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Cited by 2 publications
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“…This is the interpolation condition. The simplest method is interpolation by univariate polynomials, which is a known method in various fields of science including statistics, economics, optimization, control as well as practical problems [1][2][3][4][5]. However, polynomial interpolation in several variables is a rather new topic and quite complex, nevertheless, it is a method which can be applied to interpolate the obtained results of technical processes [4][5][6].…”
Section: Introductionmentioning
confidence: 99%
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“…This is the interpolation condition. The simplest method is interpolation by univariate polynomials, which is a known method in various fields of science including statistics, economics, optimization, control as well as practical problems [1][2][3][4][5]. However, polynomial interpolation in several variables is a rather new topic and quite complex, nevertheless, it is a method which can be applied to interpolate the obtained results of technical processes [4][5][6].…”
Section: Introductionmentioning
confidence: 99%
“…This method simplifies the pretreatment of a steel surface before the nitriding process. The research results for polynomial tensor interpolation of the tribo-logical wear of austenitic 316L steel were analyzed for the first time in paper [4]. The obtained results of the nitrogen diffusion depth on austenitic steel type 316L according to AISI were interpolated by the polynomial of two variables -temperature and time.…”
Section: Introductionmentioning
confidence: 99%
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