Hostname: page-component-848d4c4894-mwx4w Total loading time: 0 Render date: 2024-06-23T04:18:50.719Z Has data issue: false hasContentIssue false

A New Analytical Model of a Centrifugal Compressor and Validation by Experiments

Published online by Cambridge University Press:  05 May 2011

H. Pourfarzaneh*
Affiliation:
Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran
A. Hajilouy-Benisi*
Affiliation:
Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran
M. Farshchi*
Affiliation:
Department of Aerospace Engineering, Sharif University of Technology, Tehran, Iran
*
*Ph.D. student
**Associate Professor
**Associate Professor
Get access

Abstract

In the conceptual design phase of a turbocharger, where emphasis is mainly on parametric studies, before manufacturing and tests, a generalized and robust model that implies over a wide range properly, is unavoidable. The critical inputs such as compressor maps are not available during the conceptual design phase. Hence, generalized compressor models use alternate methods that work without any supplementary tests and can operate on wide range. One of the common and applicable modeling methods in design process is the ‘Dimensionless Modeling’ using the constant coefficient scaling (CCS). This method almost can predict the compressor characteristics at design point. However, at off design conditions, error goes up as mass flow and speed parameters increase. Therefore, the results are not reliable at these points. In this paper, a variable coefficient scaling (VCS) method is described. Then, a centrifugal compressor is modeled using the VCS method. To evaluate the model and compare it with the experimental results, some supplementary experiments are performed. Experimental studies are carried out on the compressor of a S2B model of the Schwitzer turbocharger in the turbocharger Lab., at Sharif University of Technology. The comparison between the experimental results and those obtained by the VCS method indicates a good agreement. It also suggests that the present model can be used as an effective design tool for all operating conditions.

Type
Articles
Copyright
Copyright © The Society of Theoretical and Applied Mechanics, R.O.C. 2010

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.Watson, N. and Janota, M. S. Turbocharging the Internal Combustion Engine, 1st Ed., The Macmillan Press Ltd. (1982).CrossRefGoogle Scholar
2.Vivek, SanghiLakshmanan, B. K. and Sundararajan, V.“Digital Simulator for Steady-State Performance Prediction of Military Turbofan Engine,” Journal of Propulsion and Power, 14, pp. 7481 (1998).Google Scholar
3.Changduk, KongSeonghee, Kho and Jayoung, Ki “Component Map Generation of a Gas Turbine Using Genetic Algorithms,” Transactions of the ASME (2006).Google Scholar
4.Kong, C., Ki, J. and Kang, M., “A New Scaling Method for Component Maps of Gas Turbine Using System Identification,” Journal of Engineering for Gas Turbines and Power, 125, pp. 979985 (2003).CrossRefGoogle Scholar
5.Curnock, Barry and Pilidis, Pericles “Compressor Characteristics in Gas Turbine Performance Modeling,” Proceedings of ASME TURBO EXPO, 2001-GT-0384, USA (2001).Google Scholar
6.McLauughlin, P. W. and Chappell, M. A., “Approach to Modeling Continuous Turbine Engine Operation from Startup to Shutdown,” Journal of Propulsion and Power, 9, pp. 466471 (1993).Google Scholar
7.David Gordon, Wilson The Design of High-Efficiency Turbomachinery and Gas Turbines, 1st Ed., The MIT Press (1988).Google Scholar
8.Cohen, H., Rogers, G. F. C. and Saravanamuttoo, H. I. H., Gas Turbine Theory, 4th Ed., John Wiley and Sons (1987).Google Scholar
9.Gennady, G.Kulikov, and Haydn, A.Thompson, , Dynamic Modeling of Gas Turbine, 1st Ed., Springer (2004).Google Scholar
10. BS-1042, Method of Measurement of Fluid Flow in Closed Conduits (1981).Google Scholar