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Response surface methodology based engineering informatics with a case on optimal shifting time in automotive gear synchronizers
, P.K. Dan
Published in Curran Associates Inc.
2018
Volume: 2018-December
   
Abstract
This paper presents an engineering informatics based approach to identify and assimilate effective and widely used parameters which are considered in literature in formulating synchronizer models. A methodology is proposed here to determine the optimal values of the selected parameters for improving the gear synchronization time. The synchronization mechanism is a major component of the transmission system that aids to a smooth gear shifting. Recent trends in gear synchronization efficiency improvement reveals that there is a challenge in improving the synchronizer mechanism for achieving quick and energy efficient transmission. A simulation study, formulated as a block model, for computation has been carried out in a reliable software environment like MATLAB with input parameters namely, the moment of inertia of engine, transmission input inertia, cone angle and coefficient of friction of the sleeve throughout. Lower synchronization time is desirable and hence, it has been considered here as the output parameter in the simulation modelling for computation with respect to the input parameters. A parametric optimization utilizing Response Surface Methodology (RSM) based data, obtained from the computational model and data analysis, has been conducted to determine the optimal parameter values for realizing robust design with minimization of synchronization time as objective function. Furthermore, the interactions of the individual input parameters with the output parameter namely, synchronization time has also been observed. Such observations help in understanding the effectiveness of the parameters associated with synchronizer design to improve the product quality for synchronizer manufacturing. © 2018, Curran Associates Inc. All rights reserved.
About the journal
JournalProceedings of International Conference on Computers and Industrial Engineering, CIE
PublisherCurran Associates Inc.
ISSN21648689