Prediction of Drag Torque in a Disengaged Wet Clutch of Automatic Transmission by Analytical Modeling

In the automotive industry one of the crucial issues is reduction of CO2 emission to protect environment. A lot of researches have been done to reduce the CO2 emission of cars by improving efficiency of engine and engine parts or lowering the weight. However, a significant reduction of CO2 emission...

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Autores principales: Shahjada Ahmed Pahlovy, Syeda Faria Mahmud, Masamitsu Kubota, Makoto Ogawa, Norio Takakura
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Lenguaje:EN
Publicado: Japanese Society of Tribologists 2016
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Acceso en línea:https://doaj.org/article/f4d0a6ae356d40078d77660722058516
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spelling oai:doaj.org-article:f4d0a6ae356d40078d776607220585162021-11-05T09:21:40ZPrediction of Drag Torque in a Disengaged Wet Clutch of Automatic Transmission by Analytical Modeling1881-219810.2474/trol.11.121https://doaj.org/article/f4d0a6ae356d40078d776607220585162016-04-01T00:00:00Zhttps://www.jstage.jst.go.jp/article/trol/11/2/11_121/_pdf/-char/enhttps://doaj.org/toc/1881-2198In the automotive industry one of the crucial issues is reduction of CO2 emission to protect environment. A lot of researches have been done to reduce the CO2 emission of cars by improving efficiency of engine and engine parts or lowering the weight. However, a significant reduction of CO2 emission of cars can also be obtained from improvement of efficiency of transmission by reducing drag torque or spin loss in disengaged wet clutch. The reduction of drag torque can be achieved by introducing groove on facing of clutch disk and further reduction can be obtained by optimizing the shape of groove. Generally, the optimum shape of groove is decided by trial and error method which requires time, making sample, conducting a lot of tests and wasting a lot of raw materials. In this research, we proposed a new analytical model to predict the drag torque characteristics of a disengaged wet clutch of transmission without making any samples and performing any tests. The feature of the model: It bases on continuity and Navier-Stokes equation, a real time visualization investigation and laminar flow. The model is validated with tests results and the comparison result shows that they are very close to each other. The significance of the model is: it captures the multiphase drag torque characteristic which changes with changing gaps, speeds and oil flow rates. Moreover, the model is a green environment friendly tool to estimate drag torque characteristics without making any samples or conducting any drag tests.Shahjada Ahmed PahlovySyeda Faria MahmudMasamitsu KubotaMakoto OgawaNorio TakakuraJapanese Society of Tribologistsarticlelow emissiondrag torque charactewet clutchautomatic transmissionanalytical modelPhysicsQC1-999Engineering (General). Civil engineering (General)TA1-2040Mechanical engineering and machineryTJ1-1570ChemistryQD1-999ENTribology Online, Vol 11, Iss 2, Pp 121-129 (2016)
institution DOAJ
collection DOAJ
language EN
topic low emission
drag torque characte
wet clutch
automatic transmission
analytical model
Physics
QC1-999
Engineering (General). Civil engineering (General)
TA1-2040
Mechanical engineering and machinery
TJ1-1570
Chemistry
QD1-999
spellingShingle low emission
drag torque characte
wet clutch
automatic transmission
analytical model
Physics
QC1-999
Engineering (General). Civil engineering (General)
TA1-2040
Mechanical engineering and machinery
TJ1-1570
Chemistry
QD1-999
Shahjada Ahmed Pahlovy
Syeda Faria Mahmud
Masamitsu Kubota
Makoto Ogawa
Norio Takakura
Prediction of Drag Torque in a Disengaged Wet Clutch of Automatic Transmission by Analytical Modeling
description In the automotive industry one of the crucial issues is reduction of CO2 emission to protect environment. A lot of researches have been done to reduce the CO2 emission of cars by improving efficiency of engine and engine parts or lowering the weight. However, a significant reduction of CO2 emission of cars can also be obtained from improvement of efficiency of transmission by reducing drag torque or spin loss in disengaged wet clutch. The reduction of drag torque can be achieved by introducing groove on facing of clutch disk and further reduction can be obtained by optimizing the shape of groove. Generally, the optimum shape of groove is decided by trial and error method which requires time, making sample, conducting a lot of tests and wasting a lot of raw materials. In this research, we proposed a new analytical model to predict the drag torque characteristics of a disengaged wet clutch of transmission without making any samples and performing any tests. The feature of the model: It bases on continuity and Navier-Stokes equation, a real time visualization investigation and laminar flow. The model is validated with tests results and the comparison result shows that they are very close to each other. The significance of the model is: it captures the multiphase drag torque characteristic which changes with changing gaps, speeds and oil flow rates. Moreover, the model is a green environment friendly tool to estimate drag torque characteristics without making any samples or conducting any drag tests.
format article
author Shahjada Ahmed Pahlovy
Syeda Faria Mahmud
Masamitsu Kubota
Makoto Ogawa
Norio Takakura
author_facet Shahjada Ahmed Pahlovy
Syeda Faria Mahmud
Masamitsu Kubota
Makoto Ogawa
Norio Takakura
author_sort Shahjada Ahmed Pahlovy
title Prediction of Drag Torque in a Disengaged Wet Clutch of Automatic Transmission by Analytical Modeling
title_short Prediction of Drag Torque in a Disengaged Wet Clutch of Automatic Transmission by Analytical Modeling
title_full Prediction of Drag Torque in a Disengaged Wet Clutch of Automatic Transmission by Analytical Modeling
title_fullStr Prediction of Drag Torque in a Disengaged Wet Clutch of Automatic Transmission by Analytical Modeling
title_full_unstemmed Prediction of Drag Torque in a Disengaged Wet Clutch of Automatic Transmission by Analytical Modeling
title_sort prediction of drag torque in a disengaged wet clutch of automatic transmission by analytical modeling
publisher Japanese Society of Tribologists
publishDate 2016
url https://doaj.org/article/f4d0a6ae356d40078d77660722058516
work_keys_str_mv AT shahjadaahmedpahlovy predictionofdragtorqueinadisengagedwetclutchofautomatictransmissionbyanalyticalmodeling
AT syedafariamahmud predictionofdragtorqueinadisengagedwetclutchofautomatictransmissionbyanalyticalmodeling
AT masamitsukubota predictionofdragtorqueinadisengagedwetclutchofautomatictransmissionbyanalyticalmodeling
AT makotoogawa predictionofdragtorqueinadisengagedwetclutchofautomatictransmissionbyanalyticalmodeling
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