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Experimental GT-POWER Correlation Techniques and Best Practices Low Frequency Acoustic Modeling of the Exhaust System of a Naturally Aspirated Engine
ISSN: 0148-7191, e-ISSN: 2688-3627
Published June 05, 2017 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
As regulations become increasingly stringent and customer expectations of vehicle refinement increase, the accurate control and prediction of exhaust system airborne acoustics are a critical factor in creating a vehicle that wins in the marketplace.
The goal of this project was to improve the predicative accuracy of the GT-power engine and exhaust model and to update internal best practices for modeling. This paper will explore the details of an exhaust focused correlation project that was performed on a naturally aspirated spark ignition eight-cylinder engine.
This paper and SAE paper “Experimental GT-POWER Correlation Techniques and Best Practices Low Frequency Acoustic Modeling of the Intake System of a Turbocharged Engine” share similar abstracts and introductions; however, they were split for readability and to keep the focus on a single a single subsystem.
This paper compares 1D GT-Power exhaust external sound predictions with chassis dyno experimental measurements during a fixed gear, full-load speed sweep. The exhaust system includes an X-pipe and modeling with use of GEM 3D. Predictions were compared with measurements, in terms of overall sound and relevant orders, both with and without (replaced by straight pipes) mufflers.
The primary takeaway from the project is the importance of correctly modeling the geometry in detail utilizing GEM3D and capturing the temperature gradient.
CitationSeldon, W., Shoeb, A., Schimmel, D., and Cromas, J., "Experimental GT-POWER Correlation Techniques and Best Practices Low Frequency Acoustic Modeling of the Exhaust System of a Naturally Aspirated Engine," SAE Technical Paper 2017-01-1793, 2017, https://doi.org/10.4271/2017-01-1793.
Data Sets - Support Documents
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- Ukrop , D. , Shanks , M. , and Carter , M. Predicting Running Vehicle Exhaust Back Pressure in a Laboratory Using Air Flowing at Room Temperature and Spreadsheet Calculations SAE Technical Paper 2009-01-1154 2009 10.4271/2009-01-1154
- Gehringer , M. and Defenderfer , E. Road Load Simulation Testing for Improved Assessment of Powertrain Noise and Vibration SAE Int. J. Engines 4 1 1210 1216 2011 10.4271/2011-01-0924
- Zhang , W. , Butler , B. , Likich , M. , and Lynch , M. A Practical Procedure to Predict AIS Inlet Noise Using CAE Simulation Tools SAE Technical Paper 2013-01-1004 2013 10.4271/2013-01-1004