Evaluation and Validation of Viscous Oil Cavitation Model Used in Torque Converter. Guo, M, Liu, C, Yan, Q., Ke, Z., Wei, W, & Li, J APPLIED SCIENCES-BASEL, 11(8):3643, April, 2021. 110Cavitation IF：2020：2.679； tex.ids= Guo2021Evaluation![Evaluation and Validation of Viscous Oil Cavitation Model Used in Torque Converter [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Hydraulic torque converter is widely used in transmission units as it is able to provide variable speed and torque ratio, isolate vibration, and absorb shock. The pursuit of a highly packed power unit requires a high capacity/speed torque converter, consequently resulting in a higher risk for cavitation and severe performance degradation, noise, vibration, and even failure. Existing cavitation models generally focus on water, and the empirical parameters are not suitable for the cavitation prediction of torque converter which utilizes high viscosity oil as its working medium. This paper focused on the influence of parameters on the performance and cavitation characteristics of torque converter. A full flow passage geometry and different computational fluid dynamics (CFD) models with cavitation were developed to predict torque converter fluid behavior by resolving Reynolds-averaged Navier-Stokes equations using finite volume method (FVM). The numerical results indicated that nuclei volume fraction, vaporization coefficient, mean nucleation site radius, and maximum density ratio have great influences on the cavitation behavior. These parameters altered the degree of cavitation and the pressure distribution on the surface of stator blades, and affected the stall performance such as stall capacity factor and torque ratio. The cavitation model was then modified to improve calculation accuracy. The test results showed that the prediction error under stall operating condition was decreased from 6.7% to 2%. This study provides insight on the influences of the empirical parameters on both internal cavitation behavior as well as overall hydrodynamic performance.
@article{Guo2021Evaluation,
title = {Evaluation and {Validation} of {Viscous} {Oil} {Cavitation} {Model} {Used} in {Torque} {Converter}},
volume = {11},
copyright = {http://creativecommons.org/licenses/by/3.0/},
issn = {2076-3417},
url = {https://www.mdpi.com/2076-3417/11/8/3643},
doi = {10.3390/app11083643},
abstract = {Hydraulic torque converter is widely used in transmission units as it is able to provide variable speed and torque ratio, isolate vibration, and absorb shock. The pursuit of a highly packed power unit requires a high capacity/speed torque converter, consequently resulting in a higher risk for cavitation and severe performance degradation, noise, vibration, and even failure. Existing cavitation models generally focus on water, and the empirical parameters are not suitable for the cavitation prediction of torque converter which utilizes high viscosity oil as its working medium. This paper focused on the influence of parameters on the performance and cavitation characteristics of torque converter. A full flow passage geometry and different computational fluid dynamics (CFD) models with cavitation were developed to predict torque converter fluid behavior by resolving Reynolds-averaged Navier-Stokes equations using finite volume method (FVM). The numerical results indicated that nuclei volume fraction, vaporization coefficient, mean nucleation site radius, and maximum density ratio have great influences on the cavitation behavior. These parameters altered the degree of cavitation and the pressure distribution on the surface of stator blades, and affected the stall performance such as stall capacity factor and torque ratio. The cavitation model was then modified to improve calculation accuracy. The test results showed that the prediction error under stall operating condition was decreased from 6.7\% to 2\%. This study provides insight on the influences of the empirical parameters on both internal cavitation behavior as well as overall hydrodynamic performance.},
language = {en-US},
number = {8},
urldate = {2021-11-09},
journal = {APPLIED SCIENCES-BASEL},
author = {Guo, M and Liu, C and Yan, QD and Ke, ZF and Wei, W and Li, J},
month = apr,
year = {2021},
note = {110Cavitation
IF：2020：2.679；
tex.ids= Guo2021Evaluation},
keywords = {/unread, CFD, cavitation parameter, cavitation vaporization coefficient, nuclei volume fraction, torque converter, ②已读1x, ⑨Zotero},
pages = {3643},
}
Downloads: 0
{"_id":"acv7JzqWSP8DDBEbJ","bibbaseid":"guo-liu-yan-ke-wei-li-evaluationandvalidationofviscousoilcavitationmodelusedintorqueconverter-2021","author_short":["Guo, M","Liu, C","Yan, Q.","Ke, Z.","Wei, W","Li, J"],"bibdata":{"bibtype":"article","type":"article","title":"Evaluation and Validation of Viscous Oil Cavitation Model Used in Torque Converter","volume":"11","copyright":"http://creativecommons.org/licenses/by/3.0/","issn":"2076-3417","url":"https://www.mdpi.com/2076-3417/11/8/3643","doi":"10.3390/app11083643","abstract":"Hydraulic torque converter is widely used in transmission units as it is able to provide variable speed and torque ratio, isolate vibration, and absorb shock. The pursuit of a highly packed power unit requires a high capacity/speed torque converter, consequently resulting in a higher risk for cavitation and severe performance degradation, noise, vibration, and even failure. Existing cavitation models generally focus on water, and the empirical parameters are not suitable for the cavitation prediction of torque converter which utilizes high viscosity oil as its working medium. This paper focused on the influence of parameters on the performance and cavitation characteristics of torque converter. A full flow passage geometry and different computational fluid dynamics (CFD) models with cavitation were developed to predict torque converter fluid behavior by resolving Reynolds-averaged Navier-Stokes equations using finite volume method (FVM). The numerical results indicated that nuclei volume fraction, vaporization coefficient, mean nucleation site radius, and maximum density ratio have great influences on the cavitation behavior. These parameters altered the degree of cavitation and the pressure distribution on the surface of stator blades, and affected the stall performance such as stall capacity factor and torque ratio. The cavitation model was then modified to improve calculation accuracy. The test results showed that the prediction error under stall operating condition was decreased from 6.7% to 2%. This study provides insight on the influences of the empirical parameters on both internal cavitation behavior as well as overall hydrodynamic performance.","language":"en-US","number":"8","urldate":"2021-11-09","journal":"APPLIED SCIENCES-BASEL","author":[{"propositions":[],"lastnames":["Guo"],"firstnames":["M"],"suffixes":[]},{"propositions":[],"lastnames":["Liu"],"firstnames":["C"],"suffixes":[]},{"propositions":[],"lastnames":["Yan"],"firstnames":["QD"],"suffixes":[]},{"propositions":[],"lastnames":["Ke"],"firstnames":["ZF"],"suffixes":[]},{"propositions":[],"lastnames":["Wei"],"firstnames":["W"],"suffixes":[]},{"propositions":[],"lastnames":["Li"],"firstnames":["J"],"suffixes":[]}],"month":"April","year":"2021","note":"110Cavitation IF：2020：2.679； tex.ids= Guo2021Evaluation","keywords":"/unread, CFD, cavitation parameter, cavitation vaporization coefficient, nuclei volume fraction, torque converter, ②已读1x, ⑨Zotero","pages":"3643","bibtex":"@article{Guo2021Evaluation,\n\ttitle = {Evaluation and {Validation} of {Viscous} {Oil} {Cavitation} {Model} {Used} in {Torque} {Converter}},\n\tvolume = {11},\n\tcopyright = {http://creativecommons.org/licenses/by/3.0/},\n\tissn = {2076-3417},\n\turl = {https://www.mdpi.com/2076-3417/11/8/3643},\n\tdoi = {10.3390/app11083643},\n\tabstract = {Hydraulic torque converter is widely used in transmission units as it is able to provide variable speed and torque ratio, isolate vibration, and absorb shock. The pursuit of a highly packed power unit requires a high capacity/speed torque converter, consequently resulting in a higher risk for cavitation and severe performance degradation, noise, vibration, and even failure. Existing cavitation models generally focus on water, and the empirical parameters are not suitable for the cavitation prediction of torque converter which utilizes high viscosity oil as its working medium. This paper focused on the influence of parameters on the performance and cavitation characteristics of torque converter. A full flow passage geometry and different computational fluid dynamics (CFD) models with cavitation were developed to predict torque converter fluid behavior by resolving Reynolds-averaged Navier-Stokes equations using finite volume method (FVM). The numerical results indicated that nuclei volume fraction, vaporization coefficient, mean nucleation site radius, and maximum density ratio have great influences on the cavitation behavior. These parameters altered the degree of cavitation and the pressure distribution on the surface of stator blades, and affected the stall performance such as stall capacity factor and torque ratio. The cavitation model was then modified to improve calculation accuracy. The test results showed that the prediction error under stall operating condition was decreased from 6.7\\% to 2\\%. This study provides insight on the influences of the empirical parameters on both internal cavitation behavior as well as overall hydrodynamic performance.},\n\tlanguage = {en-US},\n\tnumber = {8},\n\turldate = {2021-11-09},\n\tjournal = {APPLIED SCIENCES-BASEL},\n\tauthor = {Guo, M and Liu, C and Yan, QD and Ke, ZF and Wei, W and Li, J},\n\tmonth = apr,\n\tyear = {2021},\n\tnote = {110Cavitation\nIF：2020：2.679；\ntex.ids= Guo2021Evaluation},\n\tkeywords = {/unread, CFD, cavitation parameter, cavitation vaporization coefficient, nuclei volume fraction, torque converter, ②已读1x, ⑨Zotero},\n\tpages = {3643},\n}\n\n","author_short":["Guo, M","Liu, C","Yan, Q.","Ke, Z.","Wei, W","Li, J"],"key":"Guo2021Evaluation","id":"Guo2021Evaluation","bibbaseid":"guo-liu-yan-ke-wei-li-evaluationandvalidationofviscousoilcavitationmodelusedintorqueconverter-2021","role":"author","urls":{"Paper":"https://www.mdpi.com/2076-3417/11/8/3643"},"keyword":["/unread","CFD","cavitation parameter","cavitation vaporization coefficient","nuclei volume fraction","torque converter","②已读1x","⑨Zotero"],"metadata":{"authorlinks":{}},"html":""},"bibtype":"article","biburl":"https://api.zotero.org/users/4565987/collections/M54DLFMJ/items?key=iSVXJRDvOQNjLgEiYHlQ2mRP&format=bibtex&limit=100","dataSources":["xX9hha9ktfmqRQrkv","KsvmQPo2SGhyhNkpL","oS6pjR476Q7yGKrQX"],"keywords":["/unread","cfd","cavitation parameter","cavitation vaporization coefficient","nuclei volume fraction","torque converter","②已读1x","⑨zotero"],"search_terms":["evaluation","validation","viscous","oil","cavitation","model","used","torque","converter","guo","liu","yan","ke","wei","li"],"title":"Evaluation and Validation of Viscous Oil Cavitation Model Used in Torque Converter","year":2021}