Prediction of Pressure-Viscosity Coefficient of Mixtures
The pressure-viscosity coefficient α is one of the most important property for EHL condition, however its measurement has difficulty. Therefore authors attempt to predict α for blend oils by using the relationship between pressure-viscosity coefficient and logarithm of kinematic...
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Japanese Society of Tribologists
2008
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oai:doaj.org-article:6acb8fd4858d434b85ccd992e89887cf2021-11-05T09:29:17ZPrediction of Pressure-Viscosity Coefficient of Mixtures1881-219810.2474/trol.3.86https://doaj.org/article/6acb8fd4858d434b85ccd992e89887cf2008-04-01T00:00:00Zhttps://www.jstage.jst.go.jp/article/trol/3/2/3_2_86/_pdf/-char/enhttps://doaj.org/toc/1881-2198The pressure-viscosity coefficient α is one of the most important property for EHL condition, however its measurement has difficulty. Therefore authors attempt to predict α for blend oils by using the relationship between pressure-viscosity coefficient and logarithm of kinematic viscosity at atmospheric pressure, which is used for single oil as ever. The pressure-viscosity coefficient of mixtures enables to predict with base oils properties and viscosity of mixture at atmospheric pressure. Test fluids are SN-HV, PBSN, DOS, BBPH and mixtures of these oils. High-pressure viscosity measurement was done at pressure up to 0.4 GPa and temperature range at 20°C to 100°C. The authors proposed the prediction method of α for mixtures.Shinichiro HayashiKazuo MasuharaSobahan MiaShigeki MoritaNobuyoshi OhnoJapanese Society of Tribologistsarticlecomputational chemistrydensity functional theoryhybrid quantum chemical/classical molecular dynamics methodmodtcisomerizationPhysicsQC1-999Engineering (General). Civil engineering (General)TA1-2040Mechanical engineering and machineryTJ1-1570ChemistryQD1-999ENTribology Online, Vol 3, Iss 2, Pp 86-89 (2008) |
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DOAJ |
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EN |
topic |
computational chemistry density functional theory hybrid quantum chemical/classical molecular dynamics method modtc isomerization Physics QC1-999 Engineering (General). Civil engineering (General) TA1-2040 Mechanical engineering and machinery TJ1-1570 Chemistry QD1-999 |
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computational chemistry density functional theory hybrid quantum chemical/classical molecular dynamics method modtc isomerization Physics QC1-999 Engineering (General). Civil engineering (General) TA1-2040 Mechanical engineering and machinery TJ1-1570 Chemistry QD1-999 Shinichiro Hayashi Kazuo Masuhara Sobahan Mia Shigeki Morita Nobuyoshi Ohno Prediction of Pressure-Viscosity Coefficient of Mixtures |
description |
The pressure-viscosity coefficient α is one of the most important property for EHL condition, however its measurement has difficulty. Therefore authors attempt to predict α for blend oils by using the relationship between pressure-viscosity coefficient and logarithm of kinematic viscosity at atmospheric pressure, which is used for single oil as ever. The pressure-viscosity coefficient of mixtures enables to predict with base oils properties and viscosity of mixture at atmospheric pressure. Test fluids are SN-HV, PBSN, DOS, BBPH and mixtures of these oils. High-pressure viscosity measurement was done at pressure up to 0.4 GPa and temperature range at 20°C to 100°C. The authors proposed the prediction method of α for mixtures. |
format |
article |
author |
Shinichiro Hayashi Kazuo Masuhara Sobahan Mia Shigeki Morita Nobuyoshi Ohno |
author_facet |
Shinichiro Hayashi Kazuo Masuhara Sobahan Mia Shigeki Morita Nobuyoshi Ohno |
author_sort |
Shinichiro Hayashi |
title |
Prediction of Pressure-Viscosity Coefficient of Mixtures |
title_short |
Prediction of Pressure-Viscosity Coefficient of Mixtures |
title_full |
Prediction of Pressure-Viscosity Coefficient of Mixtures |
title_fullStr |
Prediction of Pressure-Viscosity Coefficient of Mixtures |
title_full_unstemmed |
Prediction of Pressure-Viscosity Coefficient of Mixtures |
title_sort |
prediction of pressure-viscosity coefficient of mixtures |
publisher |
Japanese Society of Tribologists |
publishDate |
2008 |
url |
https://doaj.org/article/6acb8fd4858d434b85ccd992e89887cf |
work_keys_str_mv |
AT shinichirohayashi predictionofpressureviscositycoefficientofmixtures AT kazuomasuhara predictionofpressureviscositycoefficientofmixtures AT sobahanmia predictionofpressureviscositycoefficientofmixtures AT shigekimorita predictionofpressureviscositycoefficientofmixtures AT nobuyoshiohno predictionofpressureviscositycoefficientofmixtures |
_version_ |
1718444354993913856 |