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A Computational Study of the Ignition of Premixed Methane and Oxygen via a Hot StreamDeans, Matthew Charles January 2009 (has links)
Thesis (M.S.)--Case Western Reserve University, 2009 / Abstract Department of Mechanical & Aerospace Engineering Title from PDF (viewed on 20 April 2009) Available online via the OhioLINK ETD Center
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Experimental Study and Numerical Simulation of Methane Oxygen Combustion inside a Low Pressure Rocket Motorkaya, mine 10 August 2016 (has links)
In this thesis, combustion processes in a laboratory-scale methane based low pressure rocket motor (LPRM) is studied experimentally and numerically. Experiments are conducted to measure flame temperatures and chamber temperature and pressure. Single reaction-four species reacting flow of gaseous methane and gaseous oxygen in the combustion chamber is also simulated numerically using a commercial CFD solver based on 2-D, steady-state, viscous, turbulent and compressible flow assumptions. LPRM geometry is simplified to several configurations, i.e. Channel and Combustion Chamber with Nozzle and FWD. Flow in a Bunsen burner is simulated inside Channel geometry in order to validate the reaction model. Grid independence study is also conducted for reacting as well as non-reacting flows. Numerical model is calibrated based on experimental results. Results of the computational model are found in a good agreement with the experimental data after calibrating specific heats of the products. Parametric study is conducted in order to investigate the effects of different mass flow rates and chamber pressures on flow and combustion characteristics of a LPRM to provide insight to future studies.
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Burnout, NO, and Flame Characterization from an Oxygen-Enriched Biomass FlameOwen, Steven Andrew 01 May 2015 (has links) (PDF)
Concern for the environment and a need for more efficient energy generation have sparked a growing interest throughout the world in renewable fuels. In order to reduce emissions that negatively contribute to global warming, especially CO2, enormous efforts are being invested in technologies to reduce our impact on the environment. Biomass is an option that is considered CO2 friendly due to the consumption of CO2 upon growth. Co-firing biomass with coal offers economic advantages because of reduced capital costs as well as other positive impacts, such as NOx and SOx emission reductions. However, due to the large average particle size of biomass, issues arise such as poor flame stability and poor carbon burnout. Larger particles can also result in longer flames and different heat transfer characteristics. Oxygen enrichment is being investigated as a possible solution to mitigate these issues and enable co-firing in existing facilities. An Air Liquide designed burner was used in this work to explore the impact of oxygen enrichment on biomass flame characteristics, emissions, and burnout. Multiple biomass fuels were used (medium hardwood, fine hardwood, and straw) in conjunction with multiple burner configurations and operating conditions. Exhaust ash samples and exhaust NO were collected for various operating conditions and burner configurations. All operating parameters including O2 addition, swirl, and O2 location could be used to reduce LOI but whenever LOI was reduced, NO increased producing an NO-LOI trade-off. Starting with high LOI, various parameters such as O2 addition and increased swirl could be used to reduce LOI with only small increases of NO. As O2 or swirl increased further, small decreases in LOI were obtained only with large increases in NO. This behavior was captured through NO-LOI trade-off curves where a given configuration or operating condition was deemed better when the curve was shifted toward the origin. Global enrichment or O2 addition to the secondary stream and O2 addition to the primary stream produced better trade-off results than center O¬2 injection. Straw produced NO-LOI trade-off curves just as the wood particles but the curve was shifted further from the origin, likely due to the higher nitrogen content of the straw. Flame characterization results showed that small amounts of O2 in the center improved flame attachment and stability while increasing flame temperature and pyrolysis rates.
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Burnout, NO, Flame Temperature, and Radiant Intensity from Oxygen-Enriched Combustion of a Hardwood BiomassThornock, Joshua David 01 December 2013 (has links)
Increasing concern for energy sustainability has created motivation for the combustion of renewable, CO2 neutral fuels. Biomass co-firing with coal provides a means of utilizing the scaled efficiencies of coal with the lower supply availability of biomass. One of the challenges of co-firing is the burnout of biomass particles which are typically larger than coal but must be oxidized in the same residence time. Larger biomass particles also can increase the length of the radiative region and alter heat flux profiles. As a result, oxygen injection is being investigated as a means of improving biomass combustion performance.An Air Liquide designed burner was used to investigate the impact of oxygen enrichment on biomass combustion using two size distributions of ground wood pellets (fine grind 220 µm and medium grind 500 µm mass mean diameter). Flame images were obtained with a calibrated RGB digital camera allowing a calculation of visible radiative heat flux. Ash samples and exhaust NO were collected for a matrix of operating conditions with varying injection strategies. The results showed that oxygen can be both beneficial and detrimental to the flame length depending on the momentum of the oxygen jet. Oxygen injection was found to improve carbon burnout, particularly in the larger wood particles. Low flow rates of oxygen enrichment (2 to 6 kg/hr) also produced a modest increase in NO formation up to 30%. The results showed medium grind ~500 µm mass mean diameter particle combustion could improve LOI from 30% to 15% with an oxygen flow rate of 8 kg/hr. Flame images showed low flow rates of O2 (2 kg/hr) in the center of the burner with the fine particles produced a dual flame, one flame surrounding the center oxygen jet and a second flame between the volatiles and secondary air. The flame surrounding the center oxygen jet produced a very high intensity and temperature (2100 K). This center flame can be used to help stabilize the flame, increase devolatilization rates, and potentially improve the trade-off between NO and burnout.
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Ray Tracing and Spectral Modelling of Excited Hydroxyl Radiation from Cryogenic Flames in Rocket Combustion ChambersPerovšek, Jaka January 2018 (has links)
A visualisation procedure was developed which predicts excited hydroxyl (OH*) radiation from the Computational Fluid Dynamics (CFD) solutions of cryogenic hydrogen-oxygen rocket flames. The model of backward ray tracing through inhomogeneous media with a continuously changing refractive index was implemented. It obtains the optical paths of light rays that originate in the rocket chamber, pass through the window and enter a simulated camera. Through the use of spectral modelling, the emission and absorption spectra eλ and κλ are simulated on the ray path from information about temperature, pressure and concentration of constituent species at relevant points. By solving a radiative transfer equation with the integration of emission and absorption spectra along the ray line-by-line, a spectral radiance is calculated, multiplied with the spectral filter transmittance and then integrated into total radiance. The values of total radiances at the window edge are visualised as a simulated 2D image. Such images are comparable with the OH* measurement images. The modelling of refraction effects results in up to 20 % of total radiance range absolute difference compared to line-of-sight integration. The implementation of accurate self-absorption corrects significant over-prediction, which occurs if the flame is assumed to be optically thin. Modelling of refraction results in images with recognisable areas where the effect of a liquid oxygen (LOx) jet core can be observed, as the light is significantly refracted. The algorithm is parallelised and thus ready for use on big computational clusters. It uses partial pre-computation of spectra to reduce computational effort.
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