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Assessment of the Predictive Capabilities of a Combustion Model for a Modern Common Rail Automotive Diesel Engine Politecnico di Torino
- Format:
- Conference/Event
- Author/Creator:
- Piano, Piano, author.
- Conference Name:
- SAE 2016 World Congress and Exhibition (2016-04-12 : Detroit, Michigan, United States)
- Language:
- English
- Physical Description:
- 1 online resource
- Place of Publication:
- Warrendale, PA SAE International 2016
- Summary:
- The predictive capabilities of an innovative multizone combustion model DIPulse, developed by Gamma Technologies, were assessed in this work for a last generation common rail automotive diesel engine.A detailed validation process, based on an extensive experimental data set, was carried out concerning the predicted heat release rate, the in-cylinder pressure trace, as well as NOx and soot emissions for several operating points including both part load and full load points.After a preliminary calibration of the model, the combustion model parameters were then optimized through a Latin Hypercube Design of Experiment (DoE), with the aim of minimizing the RMS error between the predicted and experimental burn rate of several engine operating points, thus achieving a satisfactory agreement between simulation and experimental engine combustion and emissions parameters
- Notes:
- Vendor supplied data
- Publisher Number:
- 2016-01-0547
- Access Restriction:
- Restricted for use by site license
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