Predicting the Onset of Cavitation in Automotive Torque Converters—Part II: A Generalized Model

The objective of this investigation was to develop a dimensionless model for predicting the onset of cavitation in torque converters applicable to general converter designs. Dimensional analysis was applied to test results from a matrix of torque converters that ranged from populations comprised o...

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Main Authors: D. L. Robinette, J. M. Schweitzer, D. G. Maddock, C. L. Anderson, J. R. Blough, M. A. Johnson
Format: Article
Language:English
Published: Wiley 2008-01-01
Series:International Journal of Rotating Machinery
Online Access:http://dx.doi.org/10.1155/2008/312753
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author D. L. Robinette
J. M. Schweitzer
D. G. Maddock
C. L. Anderson
J. R. Blough
M. A. Johnson
author_facet D. L. Robinette
J. M. Schweitzer
D. G. Maddock
C. L. Anderson
J. R. Blough
M. A. Johnson
author_sort D. L. Robinette
collection DOAJ
description The objective of this investigation was to develop a dimensionless model for predicting the onset of cavitation in torque converters applicable to general converter designs. Dimensional analysis was applied to test results from a matrix of torque converters that ranged from populations comprised of strict geometric similitude to those with more relaxed similarities onto inclusion of all the torque converters tested. Stator torque thresholds at the onset of cavitation for the stall operating condition were experimentally determined with a dynamometer test cell using nearfield acoustical measurements. Cavitation torques, design parameters, and operating conditions were resolved into a set of dimensionless quantities for use in the development of dimensionless empirical models. A systematic relaxation of the fundamental principle of dimensional analysis, geometric similitude, was undertaken to present empirical models applicable to torque converter designs of increasingly diverse design parameters. A stepwise linear regression technique coupled with response surface methodology was utilized to produce an empirical model capable of predicting stator torque at the onset of cavitation with less than 7% error for general automotive torque converter designs.
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institution Kabale University
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language English
publishDate 2008-01-01
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record_format Article
series International Journal of Rotating Machinery
spelling doaj-art-80be099b619b4e1e9cc353e3ac7a3a042025-02-03T05:54:22ZengWileyInternational Journal of Rotating Machinery1023-621X1542-30342008-01-01200810.1155/2008/312753312753Predicting the Onset of Cavitation in Automotive Torque Converters—Part II: A Generalized ModelD. L. Robinette0J. M. Schweitzer1D. G. Maddock2C. L. Anderson3J. R. Blough4M. A. Johnson5General Motors Powertrain Group, General Motors Corporation, Pontiac, MI 48340, USAGeneral Motors Powertrain Group, General Motors Corporation, Pontiac, MI 48340, USAGeneral Motors Powertrain Group, General Motors Corporation, Pontiac, MI 48340, USADepartment of Mechanical Engineering—Engineering Mechanics, Michigan Technological University, Houghton, MI 49931, USADepartment of Mechanical Engineering—Engineering Mechanics, Michigan Technological University, Houghton, MI 49931, USADepartment of Mechanical Engineering—Engineering Mechanics, Michigan Technological University, Houghton, MI 49931, USAThe objective of this investigation was to develop a dimensionless model for predicting the onset of cavitation in torque converters applicable to general converter designs. Dimensional analysis was applied to test results from a matrix of torque converters that ranged from populations comprised of strict geometric similitude to those with more relaxed similarities onto inclusion of all the torque converters tested. Stator torque thresholds at the onset of cavitation for the stall operating condition were experimentally determined with a dynamometer test cell using nearfield acoustical measurements. Cavitation torques, design parameters, and operating conditions were resolved into a set of dimensionless quantities for use in the development of dimensionless empirical models. A systematic relaxation of the fundamental principle of dimensional analysis, geometric similitude, was undertaken to present empirical models applicable to torque converter designs of increasingly diverse design parameters. A stepwise linear regression technique coupled with response surface methodology was utilized to produce an empirical model capable of predicting stator torque at the onset of cavitation with less than 7% error for general automotive torque converter designs.http://dx.doi.org/10.1155/2008/312753
spellingShingle D. L. Robinette
J. M. Schweitzer
D. G. Maddock
C. L. Anderson
J. R. Blough
M. A. Johnson
Predicting the Onset of Cavitation in Automotive Torque Converters—Part II: A Generalized Model
International Journal of Rotating Machinery
title Predicting the Onset of Cavitation in Automotive Torque Converters—Part II: A Generalized Model
title_full Predicting the Onset of Cavitation in Automotive Torque Converters—Part II: A Generalized Model
title_fullStr Predicting the Onset of Cavitation in Automotive Torque Converters—Part II: A Generalized Model
title_full_unstemmed Predicting the Onset of Cavitation in Automotive Torque Converters—Part II: A Generalized Model
title_short Predicting the Onset of Cavitation in Automotive Torque Converters—Part II: A Generalized Model
title_sort predicting the onset of cavitation in automotive torque converters part ii a generalized model
url http://dx.doi.org/10.1155/2008/312753
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