Lean Blowout in a Research Combustor at Simulated Low Pressures

Sturgess, G. J.; Heneghan, S. P.; Vangsness, M. D.; Ballal, D. R.; Lesmerises, A. L.

doi:10.1115/1.2816993

Cited by 11 publications

(5 citation statements)

References 12 publications

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“…A complex series of intricate flame structures have been observed in the Task 150 technology combustor according to the operating conditions and fuel injector used. Some of the flame behavior could be related to that seen in the Task 100 research combustor (Sturgess et al, 1991a;Sturgess et al, 19926), and some of the structures to those seen in the Task 200 generic combustor 1993). These flame structures were studied directly with use of visual observations, video recordings, and still photography.…”

Section: Photographic Flame Characterizationmentioning

confidence: 99%

Observations of Flame Behavior From a Practical Fuel Injector Using Gaseous Fuel in a Technology Combustor

Hedman

Sturgess

Warren

et al. 1994

Volume 3: Coal, Biomass and Alternative Fuels; Combustion and Fuels; Oil and Gas Applications; Cycle Innovations

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This paper presents results from an Air Force program being conducted by researchers at Brigham Young University (BYU) Wright-Patterson Air Force Base (WPAFB), and Pratt and Whitney Aircraft Co (P&W). This study is part of a comprehensive effort being supported by the Aero Propulsion and Power Laboratory at Wright-Patterson Air Force Base, and Pratt and Whitney Aircraft, Inc. in which simple and complex diffusion flames are being studied to better understand the fundamentals of gas turbine combustion near lean blowout. The program’s long term goal is to improve the design methodology of gas turbine combustors. This paper focuses on four areas of investigation: 1) digitized images from still film photographs to document the observed flame structures as fuel equivalence ratio was varied, 2) sets of LDA data to quantify the velocity flow fields existing in the burner, 3) CARS measurements of gas temperature to determine the temperature field in the combustion zone, and to evaluate the magnitude of peak temperature, and 4) two-dimensional images of OH radical concentrations using PLIF to document the instantaneous location of the flame reaction zones.

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Section: Photographic Flame Characterizationmentioning

confidence: 99%

Observations of Flame Behavior From a Practical Fuel Injector Using Gaseous Fuel in a Technology Combustor

Hedman

Sturgess

Warren

et al. 1994

Volume 3: Coal, Biomass and Alternative Fuels; Combustion and Fuels; Oil and Gas Applications; Cycle Innovations

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“…The system was rigorously modeled from the technical point of view, and highlighted the different technical aspects to consider when designing oxyfuel combustion systems. In addition, CRNs are sometimes coupled with CFD modelling to facilitate the design of the network model [16,[25][26][27]. For this reason, an automated hybrid CFD-CRN approach has been developed and implemented by [28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

“…Useful data range from Particle Image Velocimetry (PIV) measurements for flow field investigation to CFD-computed streamlines. Unlike the cases reported in the literature [16,[25][26][27], where the reactors' volumes and processed flow rates were directly calculated from CFD, in this case computed streamlines (where available) only serve to identify the major mixing zones and their interaction. Then, a PFR is chosen if a prevailing flow direction is present; otherwise, a CSTR is associated with the recirculation zone [40].…”

mentioning

confidence: 99%

Investigation of Oxy-Fuel Combustion through Reactor Network and Residence Time Data

et al. 2021

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Oxy-fuel combustion is a promising strategy to minimize the environmental impact of combustion-based energy conversion. Simple and flexible tools are required to facilitate the successful integration of such strategies at the industrial level. This study couples measured residence time distribution with chemical reactor network analysis in a close-to-reality combustor. This provides detailed knowledge about the various mixing and reactive characteristics arising from the use of the two different oxidizing streams.

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“…Experimental and numerical studies have investigated species distribution in different combustor geometries, injector designs and fuel compositions e.g., [10][11][12][13][14][15][16][17]. Lean flame blowout modeling for an aeroengine application using zonal modeling was reported in [18][19][20]. Several authors have related the OH radical in the flame and post-flame zone to a blowout [9,[21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Model-Based Approach for Combustion Monitoring Using Real-Time Chemical Reactor Network

DePape

Novosselov

2018

Journal of Combustion

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Flame stability and pollution control are significant problems in the design and operation of any combustion system. Realtime monitoring and analysis of these phenomena require sophisticated equipment and are often incompatible with practical applications. This work explores the feasibility of model-based combustion monitoring and real-time evaluation of proximity to lean blowout (LBO). The approach uses temperature measurements, coupled with Chemical Reactor Network (CRN) model to interpret the data in real-time. The objective is to provide a computationally fast means of interpreting measurements regarding proximity to LBO. The CRN-predicted free radical concentrations and their trends and ratios are studied in each combustion zone. Flame stability and a blowout of an atmospheric pressure laboratory combustor are investigated experimentally and via a phenomenological real-time Chemical Reactor Network (CRN). The reactor is operated on low heating value fuel stream, i.e., methane diluted with nitrogen with N 2 /CH 4 volume ratios of 2.25 and 3.0. The data show a stable flame-zone carbon monoxide (CO) level over the entire range of the fuel-air equivalence ratio (Φ), and a significant increase in hydrocarbon emissions approaching blowout. The CRN trends agree with the data: the calculated concentrations of hydroxide (OH), O-atom, and H-atom monotonically decrease with the reduction of Φ. The flame OH blowout threshold is 0.025% by volume for both fuel mixtures. The real-time CRN allows for augmentation of combustion temperature measurements with modeled free radical concentrations and monitoring of unmeasurable combustion characteristics such as pollution formation rates, combustion efficiency, and proximity to blowout. This model-based approach for process monitoring can be useful in applications where the combustion measurements are limited to temperature and optical methods, or continuous gas sampling is not practical.

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Lean Blowout in a Research Combustor at Simulated Low Pressures

Cited by 11 publications

References 12 publications

Observations of Flame Behavior From a Practical Fuel Injector Using Gaseous Fuel in a Technology Combustor

Observations of Flame Behavior From a Practical Fuel Injector Using Gaseous Fuel in a Technology Combustor

Investigation of Oxy-Fuel Combustion through Reactor Network and Residence Time Data

Model-Based Approach for Combustion Monitoring Using Real-Time Chemical Reactor Network

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