This thesis reports a model to predict the auto-ignition time of single droplets of n-paraffin fuel mixtures using the method of continuous thermodynamics. The model uses experimental data for pure fuels to fit rate parameters for a single-step global chemical reaction equation; from this, correlations for rate parameters as a function of species molecular mass are derived, which are integrated to produce a continuous thermodynamics expression for mixture reaction rate. Experiments were carried out using the suspended droplet-moving furnace technique. The model was then tested and compared to experimental data for three continuous mixtures with known compositions: one ranging from ¬n-octane to n-hexadecane, the second ranging from n-dodecane to n-eicosane, and the third being a combination of the first two mixtures to produce a “dumbbell” mixture. Discrete and continuous mixture models of the ASTM standard distillation test were compared to design the experimental mixtures and provide the distribution parameters of the continuous mixtures intended to simulate them. The results of calculations were found to agree very well with measured ignition times for the mixtures.

University of Macau / Faculty of Science and Technology / Department of Computer and Information Science

This thesis reports a model to predict the auto-ignition time of single droplets of n-paraffin fuel mixtures using the method of continuous thermodynamics. The model uses experimental data for pure fuels to fit rate parameters for a single-step global chemical reaction equation; from this, correlations for rate parameters as a function of species molecular mass are derived, which are integrated to produce a continuous thermodynamics expression for mixture reaction rate. Experiments were carried out using the suspended droplet-moving furnace technique. The model was then tested and compared to experimental data for three continuous mixtures with known compositions: one ranging from ¬n-octane to n-hexadecane, the second ranging from n-dodecane to n-eicosane, and the third being a combination of the first two mixtures to produce a “dumbbell” mixture. Discrete and continuous mixture models of the ASTM standard distillation test were compared to design the experimental mixtures and provide the distribution parameters of the continuous mixtures intended to simulate them. The results of calculations were found to agree very well with measured ignition times for the mixtures.

The current research is aimed at investigating the explosion behaviour of hazardous materials in relation to particle size. The materials of study are titanium powders having size distributions in both the micron- and nano-size ranges with nominal size distributions: -100 mesh, -325 mesh, ?20 ?m, 150 nm, 60-80 nm, and 40-60 nm. The explosibility parameters investigated explosion severity and explosion likelihood for both size ranges of titanium. Tests include, maximum explosion pressure (Pmax), maximum rate of pressure rise ((dP/dt)max), minimum explosible concentration (MEC), minimum ignition energy (MIE), minimum ignition temperature (MIT) and dust inerting using nano-titanium dioxide. ASTM protocols were followed using standard dust explosibility test equipment (Siwek 20-L explosion chamber, MIKE 3 apparatus, and BAM oven). The explosion behaviour of the micron-size titanium has been characterized to provide a baseline study for the nano-size testing, however, nano-titanium dust explosion research presented major experimental challenges using the 20-L explosion chamber.

This thesis reports a model to predict the auto-ignition time of single droplets of n-paraffin fuel mixtures using the method of continuous thermodynamics. The model uses experimental data for pure fuels to fit rate parameters for a single-step global chemical reaction equation; from this, correlations for rate parameters as a function of species molecular mass are derived, which are integrated to produce a continuous thermodynamics expression for mixture reaction rate. Experiments were carried out using the suspended droplet-moving furnace technique. The model was then tested and compared to experimental data for three continuous mixtures with known compositions: one ranging from ¬n-octane to n-hexadecane, the second ranging from n-dodecane to n-eicosane, and the third being a combination of the first two mixtures to produce a “dumbbell” mixture. Discrete and continuous mixture models of the ASTM standard distillation test were compared to design the experimental mixtures and provide the distribution parameters of the continuous mixtures intended to simulate them. The results of calculations were found to agree very well with measured ignition times for the mixtures.

Made available in DSpace on 2015-05-14T13:21:16Z (GMT). No. of bitstreams: 1 Arquivototal.pdf: 1573543 bytes, checksum: 0b63370ad035d100bd7ca434e78b1c47 (MD5) Previous issue date: 2012-09-13 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES / In Brazil, the major employability of diesel oil is in the road system of cargo transport which is necessary for a rigorous accompaniment of the ignition quality of this fuel. Among the physical and chemical properties, Cetane Number (CN) is one of the most common indicators of the diesel quality. Beyond the standard method (ASTM D613) for CN determination, there are others alternative methods, such as ASTM D6890, ASTM D4737, through infrared spectroscopy and the portable IROX DIESEL. This work aimed to evaluate and compare alternative methods for CN determination and applying non-parametric statistical tests (Friedman, Wilcoxon). There were selected randomly 80 samples that were in accordance with ANP specifications and subsequently assayed in triplicate. According to statistical analysis, the CN determinations through ASTM D6890 and infrared spectroscopy have no significant differences at a significance level of 5%. CN results through ASTM D4737 and IROX DIESEL were statistically different from each other and when they are compared with the previous mentioned methods at a significance level of 5%. The infrared spectroscopic technique shows to be an alternative for obtaining CN if it is included in diesel oil specifications because it is a technique that requires less cost of implementation and maintenance, fast and accurate determination requiring no external calibration and easy operability. / No Brasil, a maior empregabilidade do óleo diesel é no sistema rodoviário de transporte de cargas, tornando necessário um rigoroso acompanhamento da qualidade de ignição deste combustível Dentre os parâmetros físicos e químicos, o Número de Cetano (NC) é um dos mais comuns indicadores da qualidade do óleo diesel. Além do método padrão (ASTM D-613) para determinação do NC, existem outros métodos alternativos, como, ASTM D-6890, ASTM D-4737, por técnicas de espectroscopia no infravermelho e pelo aparelho portátil IROX DIESEL. O presente estudo teve como objetivo avaliar e comparar métodos alternativos para determinação do NC, utilizando-se teste de estatísticas não paramétricas (Friedman, Wilcoxon). Foram selecionadas aleatoriamente 80 amostras que estivessem em conformidade com as especificações da ANP e posteriormente ensaiadas em triplicatas. De acordo com análise estatística, os resultados das determinações de NC pelo método ASTM D-6890 e por técnicas de espectroscopia no infravermelho, não possuem diferenças significativas ao nível de significância de 5%. Já os resultados de NC dos métodos ASTM D-4737 e IROX DIESEL, foram estatisticamente diferentes entre si e também quando comparados com os métodos anteriores mencionados ao nível de significância de 5%. A técnica de espectroscopia no infravermelho mostra ser uma alternativa para obtenção do NC se incluído nas especificações de óleo diesel, pois é uma técnica que requer menor custo de implementação e manutenção, determinação rápida e precisa não requerendo calibração externa e de fácil operação.

The principle of controlled auto-ignition (CAI) is to mix fuel and air homogeneously before compressing the mixture to the point of auto-ignition. As ignition occurs simultaneously, CAI engines operate with lean mixtures preventing high cylinder pressures. CAI engines produce small amounts of nitrogen oxides (NOx) due to low combustion temperatures while maintaining high compression ratios and engine efficiencies. Due to simultaneous combustion and lean mixtures, CAI engines are restricted between low and mid load operations. Various strategies have been studied to improve the load limit of CAI engines. The scope of the project is to investigate the consequences of varying valve timing, as a method to control the mixture temperature within the combustion chamber and therefore, controlling the mixture auto-ignition point. This study presents computational fluid dynamics (CFD) modelling results of transient flow, inside a 0.45 litre Lotus single cylinder engine. After a validation process, a chemical kinetics model is combined with the CFD code, in order to study in-cylinder temperatures, the mixture distribution during compression and to predict the auto-ignition timing. The first part of the study focuses on validating the calculated in-cylinder velocities. A mesh sensitivity study is performed as well as a comparison of different turbulence models. A method to reduce computational time of the calculations is presented. The effects of engine speed on charge delay and charge amount inside the cylinder, the development of the in-cylinder flow field and the variation of turbulence parameters during the intake and compression stroke, are studied. The second part of the study focuses on the gasoline mixture and the variation of the valve timing, to retain different ratios of residual gases within the cylinder. After validation of the model, a final set of CFD calculations is performed, to investigate the effects of valve timing on flow and the engine parameters. The results are then compared to a fully homogeneous mixture model to study the benefits of varying valve duration. New key findings and contributions to CAI knowledge were found in this investigation. Reducing the intake and exhaust valve durations created a mixture temperature stratification and a fuel concentration distribution, prior to auto-ignition. It resulted in extending the heat release rate duration, improving combustion. However, shorter valve timing durations also showed an increase in heat transfer, pumping work and friction power, with a decrease of cylinder indicated efficiency. Valve timing, as a method to control auto-ignition, should only be used when the load limit of CAI engines, is to be improved.

This thesis reports a model to predict the auto-ignition time of single droplets of n-paraffin fuel mixtures using the method of continuous thermodynamics. The model uses experimental data for pure fuels to fit rate parameters for a single-step global chemical reaction equation; from this, correlations for rate parameters as a function of species molecular mass are derived, which are integrated to produce a continuous thermodynamics expression for mixture reaction rate. Experiments were carried out using the suspended droplet-moving furnace technique. The model was then tested and compared to experimental data for three continuous mixtures with known compositions: one ranging from ¬n-octane to n-hexadecane, the second ranging from n-dodecane to n-eicosane, and the third being a combination of the first two mixtures to produce a “dumbbell” mixture. Discrete and continuous mixture models of the ASTM standard distillation test were compared to design the experimental mixtures and provide the distribution parameters of the continuous mixtures intended to simulate them. The results of calculations were found to agree very well with measured ignition times for the mixtures.

<div>This research has been studied a laser-induced spark in flowing gases. The relationship between the minimum ignition energy (MIE), the turbulence intensity, and the flame kernel propagation speed is considered. Plasma emission, produced by the laser-induced spark, and flame kernel generation by the plasma are investigated. The energy balance equation between an ignition energy and energy losses by heat transfer is studied at laminar flows and turbulent flows. Hydrogen and air mixtures were used in a premixed jet burner for ignition experiments. Particle image velocimetry (PIV) examined the velocity and the turbulence intensity under the turbulent flows. The flame kernel development was visualized using Schlieren imaging and infrared images (IR camera). Flame kernel temperatures were measured through Rayleigh scattering and infrared images (IR camera). Plasma evaluations were captured through an intensified CCD camera (ICCD camera). Minimum ignition energies were measured at the laminar flows and the turbulent flows. The MIE decreases with an increase in the turbulence intensity which changed by ignition locations and perforated plates at the constant bulk velocity. Improved mixing rates due to the ignition locations or the geometry of the perforated plates decrease the MIE at the constant bulk velocity. The turbulence intensity increases wrinkles in the flame kernel surface, thus the contact between the flame kernel and reactants increases due to the wrinkles. Therefore, the flame kernel propagation speed increases as the turbulence intensity is higher since the increased reaction by the wrinkles and the contact. Thus, the MIE decreases as the turbulence intensity increases at the constant ignition condition, including bulk velocities and ignition heights, since the high turbulence intensity increases the flame kernel propagation speed. Laser energy differences affect the plasma expansions by the laser absorption. Laser-supported radiation (LSR) wave speeds were measured and calculated using energy balance equations. Velocity does not affect the flame kernel temperature distribution during the early reaction steps because the plasma generates a flame kernel and determines the flame kernel temperature distribution. The MIE increases with increasing the bulk velocity. The energy losses considering convection, conduction, and radiation were calculated using the flame kernel radius, the flame kernel temperature, mixture properties, and the flame speed. The energy balance equation in the ignition of flowing gases is newly written at the laminar flows and the turbulent flows.</div>

Increasing the efficiency of the spark-ignition engine can help to reduce the environmental impact of the transportation sector. Engine knock obstructs the increased efficiency that could be gained by increasing the compression ratio in a spark-ignition (SI) engine. A fuel’s propensity to knock is measured by the research octane number (RON) and the motor octane number (MON) in a co-operative fuel research (CFR) engine. A fuel’s octane sensitivity (OS) is the difference between the RON and MON. Modern downsized and turbocharged engines operate at what is considered to be beyond-RON conditions. Studies have shown that having a fuel with higher OS improves knock resistance at beyond-RON conditions. This study aims to gain a better understanding of the role of intermediate-temperature heat release (ITHR) in defining OS and its subsequent impact on SI operation through the experimental framework. The ITHR of toluene primary reference fuels (TPRFs) fuels with matching RON and varying OS was studied at RON-like and MON-like homogeneous charge compression ignition (HCCI) conditions for two different matching criteria. The first criterion was to control the combustion phasing by matching half of the heat release (CA50) to 3 crank angle degrees after top dead center. The second criterion was to match the compression ratios. Results showed that at RON-like HCCI conditions, TPRF fuels display decreasing ITHR with increasing OS. Furthermore, it was shown that TPRF fuels with low sensitivity displayed a greater increase in ITHR from MON-like conditions to RON-like conditions. Thus, the sensitivity of ITHR to changes in operating conditions was found to be a contributing factor to OS. In the beyond-RON conditions (relevant to current modern engines), there is a potential for improved engine efficiency by using fuels with high OS to allow for higher compression ratios. The experimental results of this work show that OS is negatively correlated with ITHR. Thus, high-sensitivity fuels can be designed by choosing components and additives that reduce the amount of ITHR.