Interpretation of temperature and rheological model involved in traction coefficient prediction

In our previous papers, we attempted to predict traction coefficient by combining oil film rheological models and heat conduction models. The rheological characteristic was considered by dividing rheological region in viscous and plastic. In addition, we formed a very tiny thin film sensor on rollin...

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Main Authors: Toshinari SANO, Fumihiro ITOIGAWA, Masashi INOUE
Format: Article
Language:Japanese
Published: The Japan Society of Mechanical Engineers 2016-11-01
Series:Nihon Kikai Gakkai ronbunshu
Subjects:
Online Access:https://www.jstage.jst.go.jp/article/transjsme/82/844/82_16-00421/_pdf/-char/en
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author Toshinari SANO
Fumihiro ITOIGAWA
Masashi INOUE
author_facet Toshinari SANO
Fumihiro ITOIGAWA
Masashi INOUE
author_sort Toshinari SANO
collection DOAJ
description In our previous papers, we attempted to predict traction coefficient by combining oil film rheological models and heat conduction models. The rheological characteristic was considered by dividing rheological region in viscous and plastic. In addition, we formed a very tiny thin film sensor on rolling surface, and challenged to measure temperature change directly when the sensor passed through inside contact portion. But physical interpretation of shear flow transition between two rheological regions was still unclear. Since the plastic model was determined as empirical formula, its universality was also insufficient. In this paper, we define boundary continuity of shear flow transition between the two rheological regions in a new interpretation. Further utilizing this result, we propose a theoretical approach to determine the plastic model by using rheological parameters in viscous region. When the model is derived theoretically and if it could express physical phenomena as a function of actual temperature, we need accurate oil film temperature estimation. In that case, we show that it is effective to make the temperature prediction model in vicinity of contact portion. This is because the time constant of contact film thermal diffusion is small, it makes sense as an effective prediction of traction coefficient. Also by the thin film sensor measurement, the time constant is actually confirmed to be extremely small.
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spelling doaj.art-80334bea2abe4832a5092dc44556ab802022-12-22T04:35:11ZjpnThe Japan Society of Mechanical EngineersNihon Kikai Gakkai ronbunshu2187-97612016-11-018284416-0042116-0042110.1299/transjsme.16-00421transjsmeInterpretation of temperature and rheological model involved in traction coefficient predictionToshinari SANO0Fumihiro ITOIGAWA1Masashi INOUE2Toyota Motor CorporationDepartment of Mechanical Engineering, Nagoya Institute of TechnologyNIPPON SOKEN INC.In our previous papers, we attempted to predict traction coefficient by combining oil film rheological models and heat conduction models. The rheological characteristic was considered by dividing rheological region in viscous and plastic. In addition, we formed a very tiny thin film sensor on rolling surface, and challenged to measure temperature change directly when the sensor passed through inside contact portion. But physical interpretation of shear flow transition between two rheological regions was still unclear. Since the plastic model was determined as empirical formula, its universality was also insufficient. In this paper, we define boundary continuity of shear flow transition between the two rheological regions in a new interpretation. Further utilizing this result, we propose a theoretical approach to determine the plastic model by using rheological parameters in viscous region. When the model is derived theoretically and if it could express physical phenomena as a function of actual temperature, we need accurate oil film temperature estimation. In that case, we show that it is effective to make the temperature prediction model in vicinity of contact portion. This is because the time constant of contact film thermal diffusion is small, it makes sense as an effective prediction of traction coefficient. Also by the thin film sensor measurement, the time constant is actually confirmed to be extremely small.https://www.jstage.jst.go.jp/article/transjsme/82/844/82_16-00421/_pdf/-char/entribologytraction coefficientoil film temperaturerheological modelglass transitionintermolecularlennard-jonesthin film sensor
spellingShingle Toshinari SANO
Fumihiro ITOIGAWA
Masashi INOUE
Interpretation of temperature and rheological model involved in traction coefficient prediction
Nihon Kikai Gakkai ronbunshu
tribology
traction coefficient
oil film temperature
rheological model
glass transition
intermolecular
lennard-jones
thin film sensor
title Interpretation of temperature and rheological model involved in traction coefficient prediction
title_full Interpretation of temperature and rheological model involved in traction coefficient prediction
title_fullStr Interpretation of temperature and rheological model involved in traction coefficient prediction
title_full_unstemmed Interpretation of temperature and rheological model involved in traction coefficient prediction
title_short Interpretation of temperature and rheological model involved in traction coefficient prediction
title_sort interpretation of temperature and rheological model involved in traction coefficient prediction
topic tribology
traction coefficient
oil film temperature
rheological model
glass transition
intermolecular
lennard-jones
thin film sensor
url https://www.jstage.jst.go.jp/article/transjsme/82/844/82_16-00421/_pdf/-char/en
work_keys_str_mv AT toshinarisano interpretationoftemperatureandrheologicalmodelinvolvedintractioncoefficientprediction
AT fumihiroitoigawa interpretationoftemperatureandrheologicalmodelinvolvedintractioncoefficientprediction
AT masashiinoue interpretationoftemperatureandrheologicalmodelinvolvedintractioncoefficientprediction