2012
DOI: 10.1177/1350650112453405
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Tribological behavior of Fe70Ni30 alloy with nanoscale twins under liquid paraffin lubrication

Abstract: Fe 70 Ni 30 alloy with nanoscale twins was obtained by deep cryogenic treatment (DCT) of coarse grained Fe 70 Ni 30 alloy (CG-Fe 70 Ni 30 ) at liquid nitrogen temperature. The tribological behavior of DCT-Fe 70 Ni 30 alloy was investigated under liquid paraffin oil lubrication compared with that of CG-Fe 70 Ni 30 alloy. The experimental results showed that the wear resistance of DCT-Fe 70 Ni 30 alloy was improved significantly after the introduction of nanoscale twins, and DCT-Fe 70 Ni 30 alloy also showed a l… Show more

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Cited by 2 publications
(2 citation statements)
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“…[1][2][3][4][5][6] In recent years, the tribological behavior of nanostructured materials related to the effect of grain size, hardness, or strength has been studied extensively. [7][8][9][10][11][12][13] Generally, nanostructured materials have higher hardness and strength than their coarse grained counterparts, which is beneficial to the wear resistance. Lu et al 14 produced nanoscale twins on the surface of Cu by surface mechanical attrition treatment (SMAT), and improved the wear resistance markedly.…”
Section: Introductionmentioning
confidence: 99%
“…[1][2][3][4][5][6] In recent years, the tribological behavior of nanostructured materials related to the effect of grain size, hardness, or strength has been studied extensively. [7][8][9][10][11][12][13] Generally, nanostructured materials have higher hardness and strength than their coarse grained counterparts, which is beneficial to the wear resistance. Lu et al 14 produced nanoscale twins on the surface of Cu by surface mechanical attrition treatment (SMAT), and improved the wear resistance markedly.…”
Section: Introductionmentioning
confidence: 99%
“…(s)(16) as a function (f s ; s=1, 2, 3) of the independent variable, , and the function z(w), under the boundary conditions (11a-11b), we obtain the desired numerical solution. The method of spline collocation at Gaussian points using a B-spline basis has been implemented to calculate the B-splines and their derivates.…”
mentioning
confidence: 99%