Predicting the Onset of Cavitation in Automotive Torque Converters—Part II: A Generalized Model
Author(s) -
Darrell Robinette,
Jean Schweitzer,
D. G. Maddock,
C. L. Anderson,
Jason Blough,
M. A. Johnson
Publication year - 2008
Publication title -
international journal of rotating machinery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.265
H-Index - 33
eISSN - 1026-7115
pISSN - 1023-621X
DOI - 10.1155/2008/312753
Subject(s) - torque , torque converter , stator , dimensionless quantity , cavitation , control theory (sociology) , dynamometer , automotive industry , converters , test bench , computer science , mechanics , mechanical engineering , power (physics) , engineering , physics , thermodynamics , control (management) , artificial intelligence
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, designparameters, 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 torqueconverter designs of increasingly diverse design parameters. A stepwise linear regression technique coupledwith response surface methodology was utilized to produce an empirical model capable of predicting statortorque at the onset of cavitation with less than 7% error for general automotive torque converter designs
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom