A statistical model for combustion resonance from a DI diesel engine with applications
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01/08/2015
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Introduced in this paper is a Bayesian model for isolating the resonant frequency from combustion chamber resonance. The model shown in this paper focused on characterising the initial rise in the resonant frequency to investigate the rise of in-cylinder bulk temperature associated with combustion. By resolving the model parameters, it is possible to determine: the start of pre-mixed combustion, the start of diffusion combustion, the initial resonant frequency, the resonant frequency as a function of crank angle, the in-cylinder bulk temperature as a function of crank angle and the trapped mass as a function of crank angle. The Bayesian method allows for individual cycles to be examined without cycle-averaging|allowing inter-cycle variability studies. Results are shown for a turbo-charged, common-rail compression ignition engine run at 2000 rpm and full load. |
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application/pdf |
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http://eprints.qut.edu.au/82876/1/resonancepaper_R1_TEX.pdf DOI:10.1016/j.ymssp.2014.12.027 Bodisco, Timothy A., Low Choy, Samantha, Masri, Assaad R., & Brown, Richard J. (2015) A statistical model for combustion resonance from a DI diesel engine with applications. Mechanical Systems and Signal Processing, 60-61, pp. 406-419. http://purl.org/au-research/grants/ARC/LP0775178 |
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Copyright © 2015 Elsevier B.V. or its licensors or contributors. ScienceDirect® is a registered trademark of Elsevier B.V. |
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School of Chemistry, Physics & Mechanical Engineering; Faculty of Science and Technology; School of Mathematical Sciences |
Palavras-Chave | #010401 Applied Statistics #090200 AUTOMOTIVE ENGINEERING #091300 MECHANICAL ENGINEERING #091301 Acoustics and Noise Control (excl. Architectural Acoustics) #Combustion Resonance #Resonant Frequency #Bayesian Modelling #Markov-chain Monte Carlo #In-cylinder Pressure Analysis |
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Journal Article |