A statistical model for combustion resonance from a DI diesel engine with applications
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.
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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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|Item Type:||Journal Article|
|Keywords:||Combustion Resonance, Resonant Frequency, Bayesian Modelling, Markov-chain Monte Carlo, In-cylinder Pressure Analysis|
|Subjects:||Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > STATISTICS (010400) > Applied Statistics (010401)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AUTOMOTIVE ENGINEERING (090200)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MECHANICAL ENGINEERING (091300)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MECHANICAL ENGINEERING (091300) > Acoustics and Noise Control (excl. Architectural Acoustics) (091301)
|Divisions:||Current > Schools > School of Chemistry, Physics & Mechanical Engineering
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Current > Schools > School of Mathematical Sciences
|Copyright Owner:||Copyright © 2015 Elsevier B.V. or its licensors or contributors. ScienceDirect® is a registered trademark of Elsevier B.V.|
|Deposited On:||27 Mar 2015 00:38|
|Last Modified:||18 Apr 2015 16:43|
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