A statistical model for combustion resonance from a DI diesel engine with applications


Autoria(s): Bodisco, Timothy; Low Choy, Samantha; Masri, Assaad; Brown, Richard J.
Data(s)

01/08/2015

Resumo

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.

Identificador

http://hdl.handle.net/10536/DRO/DU:30082259

Idioma(s)

eng

Publicador

Elsevier

Relação

http://dro.deakin.edu.au/eserv/DU:30082259/bodisco-statisticalmodel-2015.pdf

http://www.dx.doi.org/10.1016/j.ymssp.2014.12.027

Direitos

2015, Elsevier

Palavras-Chave #Combustion Resonance #Resonant Frequency #Bayesian Modelling #Markov-chain Monte Carlo #In-cylinder Pressure Analysis
Tipo

Journal Article