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Statistical modeling to determine resonant frequency information present in combustion chamber pressure signals

conference contribution
posted on 2010-12-09, 00:00 authored by Tim Bodisco, R J Brown
A statistical modeling method to accurately determine combustion chamber resonance is proposed and demonstrated. This method utilises Markov-chain Monte Carlo (MCMC) through the use of the Metropolis-Hastings (MH) algorithm to yield a probability density function for the combustion chamber frequency and find the best estimate of the resonant frequency, along with uncertainty. The accurate determination of combustion chamber resonance is then used to investigate various engine phenomena, with appropriate uncertainty, for a range of engine cycles. It is shown that, when operating on various ethanol/diesel fuel combinations, a 20% substitution yields the least amount of inter-cycle variability, in relation to combustion chamber resonance.

History

Event

17th Australasian Fluid Mechanics Conference

Publisher

Australasian Fluid Mechanics Society

Location

Auckland

Start date

2010-12-05

End date

2010-12-09

Language

English

Publication classification

EN.1 Other conference paper

Title of proceedings

Proceedings of the 17th Australasian Fluid Mechanics Conference