In-cylinder pressure and inter-cycle variability analysis for a compression ignition engine: Bayesian approaches

Bodisco, Timothy , In-cylinder pressure and inter-cycle variability analysis for a compression ignition engine: Bayesian approaches.

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Title In-cylinder pressure and inter-cycle variability analysis for a compression ignition engine: Bayesian approaches
Author Bodisco, TimothyORCID iD for Bodisco, Timothy orcid.org/0000-0002-5163-4762
Keyword(s) Internal combustion engine
In-cylinder pressure
Inter-cycle variability
Combustion resonance
Resonant frequency
Spectral analysis
Ignition delay
Bayesian analysis
Markov-chain Monte Carlo
Alternative fuel
Summary This thesis introduced Bayesian statistics as an analysis technique to isolate resonant frequency information in in-cylinder pressure signals taken from internal combustion engines. Applications of these techniques are relevant to engine design (performance and noise), energy conservation (fuel consumption) and alternative fuel evaluation. The use of Bayesian statistics, over traditional techniques, allowed for a more in-depth investigation into previously difficult to isolate engine parameters on a cycle-by-cycle basis. Specifically, these techniques facilitated the determination of the start of pre-mixed and diffusion combustion and for the in-cylinder temperature profile to be resolved on individual consecutive engine cycles. Dr Bodisco further showed the utility of the Bayesian analysis techniques by applying them to in-cylinder pressure signals taken from a compression ignition engine run with fumigated ethanol.
Language eng
Field of Research 090201 Automotive Combustion and Fuel Engineering (incl Alternative/Renewable Fuels)
091399 Mechanical Engineering not elsewhere classified
010401 Applied Statistics
Socio Economic Objective 850501 Biofuel (Biomass) Energy
Persistent URL http://hdl.handle.net/10536/DRO/DU:30082288

Document type: Thesis
Collection: School of Engineering
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Created: Fri, 18 Mar 2016, 07:55:19 EST

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