Timothy A. Bodisco
Deakin University
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Publication
Featured researches published by Timothy A. Bodisco.
SAE International Journal of Fuels and Lubricants | 2013
Phuong X. Pham; Timothy A. Bodisco; Svetlana Stevanovic; Mostafizur Rahman; Hao Wang; Zoran Ristovski; Richard J. Brown; Assaad R. Masri
This experimental study examines the effect on performance and emission outputs of a compression ignition engine operating on biodiesels of varying carbon chain length and the degree of unsaturation. A well-instrumented, heavy-duty, multi-cylinder, common-rail, turbo-charged diesel engine was used to ensure that the results contribute in a realistic way to the ongoing debate about the impact of biofuels. Comparative measurements are reported for engine performance as well as the emissions of NOx, particle number and size distribution, and the concentration of the reactive oxygen species (which provide a measure of the toxicity of emitted particles). It is shown that the biodiesels used in this study produce lower mean effective pressure, somewhat proportionally with their lower calorific values; however, the molecular structure has been shown to have little impact on the performance of the engine. The peak in-cylinder pressure is lower for the biodiesels that produce a smaller number of emitted particles, compared to fossil diesel, but the concentration of the reactive oxygen species is significantly higher because of oxygen in the fuels. The differences in the physicochemical properties amongst the biofuels and the fossil diesel significantly affect the engine combustion and emission characteristics. Saturated short chain length fatty acid methyl esters are found to enhance combustion efficiency, reduce NOx and particle number concentration, but results in high levels of fuel consumption.
ieee international conference on high performance computing data and analytics | 2014
Timothy A. Bodisco; Jason D'Netto; Neil A. Kelson; Jasmine Banks; Ross F. Hayward
Computational optimisation of clinically important electrocardiogram signal features, within a single heart beat, using a Markov-chain Monte Carlo (MCMC) method is undertaken. A detailed, efficient data-driven software implementation of an MCMC algorithm has been shown. Initially software parallelisation is explored and has been shown that despite the large amount of model parameter inter-dependency that parallelisation is possible. Also, an initial reconfigurable hardware approach is explored for future applicability to real-time computation on a portable ECG device, under continuous extended use.
Scientific Reports | 2018
Puneet Verma; Ali Zare; Mohammad Jafari; Timothy A. Bodisco; Thomas J. Rainey; Zoran Ristovski; Richard J. Brown
The disposal of waste rubber and scrap tyres is a significant issue globally; disposal into stockpiles and landfill poses a serious threat to the environment, in addition to creating ecological problems. Fuel production from tyre waste could form part of the solution to this global issue. Therefore, this paper studies the potential of fuels derived from waste tyres as alternatives to diesel. Production methods and the influence of reactor operating parameters (such as reactor temperature and catalyst type) on oil yield are outlined. These have a major effect on the performance and emission characteristics of diesel engines when using tyre derived fuels. In general, tyre derived fuels increase the brake specific fuel consumption and decrease the brake thermal efficiency. The majority of studies indicate that NOx emissions increase with waste tyre derived fuels; however, a few studies have reported the opposite trend. A similar increasing trend has been observed for CO and CO2 emissions. Although most studies reported an increase in HC emission owing to lower cetane number and higher density, some studies have reported reduced HC emissions. It has been found that the higher aromatic content in such fuels can lead to increased particulate matter emissions.
Environmental Pollution | 2018
Thuy Chu Van; Zoran Ristovski; Nicholas C. Surawski; Timothy A. Bodisco; S.M. Ashrafur Rahman; Joel Alroe; Branka Miljevic; Farhad M. Hossain; Kabir Suara; Thomas J. Rainey; Richard J. Brown
Particle emission characteristics and engine performance were investigated from an auxiliary, heavy duty, six-cylinder, turbocharged and after-cooled diesel engine with a common rail injection system using spiked fuels with different combinations of sulphur (S) and vanadium (V) spiking. The effect of fuel S content on both particle number (PN) and mass (PM) was clearly observed in this study. Higher PN and PM were observed for fuels with higher S contents at all engine load conditions. This study also found a correlation between fuel S content and nucleation mode particle number concentration which have more harmful impact on human health than larger particles. The highest PN and PM were observed at partial load conditions. In addition, S in fuel resulted in higher viscosity of spiked fuels, which led to lower engine blow-by. Fuel V content was observed in this study, evidencing that it had no clear effect on engine performance and emissions. Increased engine load also resulted in higher engine blow-by. The lower peak of in-cylinder pressure observed at both pre-mixed and diffusion combustion phases with the spiked fuels may be associated with the lower energy content in the fuel blends compared to diesel fuel.
International Journal of Computational Methods | 2014
Jasmine Banks; Neil A. Kelson; H. Macintosh; M. Dagg; Ross F. Hayward; Timothy A. Bodisco; Richard J. Brown
The feasibility of real-time calculation of parameters for an internal combustion engine via reconfigurable hardware implementation is investigated as an alternative to software computation. A detailed in-hardware field programmable gate array (FPGA)-based design is developed and evaluated using input crank angle and in-cylinder pressure data from fully instrumented diesel engines in the QUT Biofuel Engine Research Facility (BERF). Results indicate the feasibility of employing a hardware-based implementation for real-time processing for speeds comparable to the data sampling rate currently used in the facility, with acceptably low level of discrepancies between hardware and software-based calculation of key engine parameters.
Fuel | 2016
Ali Zare; Nurun Nabi; Timothy A. Bodisco; Farhad M. Hossain; Mahmudur Rahman; Zoran Ristovski; Richard J. Brown
Mechanical Systems and Signal Processing | 2012
Timothy A. Bodisco; Robert Reeves; Rong Situ; Richard J. Brown
Fuel | 2014
Nicholas C. Surawski; Branka Miljevic; Timothy A. Bodisco; Rong Situ; Richard J. Brown; Zoran Ristovski
Journal of Cleaner Production | 2017
Ali Zare; Nurun Nabi; Timothy A. Bodisco; Farhad M. Hossain; Mahmudur Rahman; Thuy Chu Van; Zoran Ristovski; Richard J. Brown
Energy | 2017
Ali Zare; Timothy A. Bodisco; Nurun Nabi; Farhad M. Hossain; Mahmudur Rahman; Zoran Ristovski; Richard J. Brown