Design and Development of a Research Combustor for Lean Blow-Out Studies

Sturgess, G. J.; Sloan, David G.; Lesmerises, A. L.; Heneghan, S. P.; Ballal, D. R.

doi:10.1115/1.2906297

Cited by 22 publications

(5 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Figure 4 illustrates the schematic of the flow field and flame structure in our combustor. The recirculation zones produce a region of low velocity with long residence time which allows the flame to propagate into incoming fresh mixture, and thus serve as a source of continuous ignition for combustible fuel-air mixture 30 . In stable combustion, most of the chemical reaction occurs between the two hot recirculation zones (see the flame picture in Fig.…”

Section: A Monitoring Thermoacoustic Instabilitymentioning

confidence: 99%

Sensing and Control of Combustion Instabilities in Swirl-Stabilized Combustors Using Diode-Laser Absorption

Li¹,

Zhou²,

Jeffries³

et al. 2006

42nd AIAA/ASME/SAE/ASEE Joint Propulsion Conference &Amp;amp; Exhibit

View full text Add to dashboard Cite

Thermoacoustic instability and lean blowout (LBO) are monitored in propane/air flames in a swirl-stabilized combustor using a novel tunable diode laser (TDL) sensor for gas temperature using wavelength-scanned laser absorption of two neighboring water vapor transitions near 1.4 μm. Although the gas composition and temperature are not uniform along the sensor line-of-sight, temperature oscillations and fluctuations are clearly identified in the FFT power spectra of the time-resolved data. Detailed experiments are conducted to optimize the position of the sensor line-of-sight in the flame for thermoacoustic instability and LBO sensing. The output of the sensor is used to suppress the thermoacoustic oscillations in a phase-delay feedback control system, and acoustic modulation of the intake air flow suppresses the temperature oscillations by more than 7dB. The low-frequency temperature fluctuations measured by the TDL sensor increase sharply as the flame approaches LBO. The intensity of these low-frequency fluctuations is used to detect the proximity to LBO, and can be used as a control variable for active LBO suppression without knowing the LBO fuel/air ratio limit. The TDL sensor results are compared with traditional pressure and emission sensors, and the TDL sensor is found to offer several advantages including better spatial resolution and insensitivity to background acoustic noise and flame emissions.

show abstract

Section: A Monitoring Thermoacoustic Instabilitymentioning

confidence: 99%

Sensing and Control of Combustion Instabilities in Swirl-Stabilized Combustors Using Diode-Laser Absorption

Li¹,

Zhou²,

Jeffries³

et al. 2006

42nd AIAA/ASME/SAE/ASEE Joint Propulsion Conference &Amp;amp; Exhibit

View full text Add to dashboard Cite

show abstract

“…SEC presented by Lefebvre (1)(2)(3) and Ateshkadi (4) reported the average prediction error = ±30% that is mainly attributed to insufficient modelling depth to account for flow physics in primary combustion zone. On the other hand, numerical methods based on Large Eddy Simulation (LES) (5)(6)(7)(8)(9)(10) can provide very detailed information about flow structures with high spatial and temporal resolutions. Recently, LES with Conditional moment closure (CMC) (8) and Filtered Density Functions (FDF) (9) models have presented promising results for transient studies of reactive flows.…”

Section: Introductionmentioning

confidence: 99%

“…To compensate for this modelling deficiency in the SEC, aid from numerical simulations is utilised to incorporate the flow information; the methodology is called the hybrid approach. It was originally proposed by Sturgess ( 10 , 11 ), and it can merge the advantages of both techniques: (1) simplicity and robustness from SECs and (2) thermodynamics and flow-field information from numerical simulation. Hence, it has an advantage over previous prediction methodologies and can better correlate global LBO stability with geometry configurations of primary combustion zone.…”

Section: Introductionmentioning

confidence: 99%

Prediction of lean blowout performance of gas turbine combustor based on flow structures

Ahmed

Huang

2017

Aeronaut. j.

View full text Add to dashboard Cite

The insufficient depth of modelling to capture the flow physics within primary combustion zone is the prime reason behind limited accuracy of semi-empirical correlations. Flame volume concept establishes a better connection between LBO performance and flame parameters, which improves the modelling depth and hence the prediction accuracy. Nonetheless, estimation of flame parameters is a challenging task. In addition, the iterative loop to approach convergence for a single geometry demands several numerical simulation runs. In this study, the association of LBO performance has been extended to flow structures, they are uniquely associated with the geometric features and can efficiently relate global LBO performance with primary zone geometry. The lean blowout phenomenon was presented as a contest between igniting and extinction forces within Reverse Flow Zone. These forces were quantified by four performance parameters including area, minimum axial velocity, average temperature, and average velocity. Selected parameters provide valuable information regarding the size of recirculation bubble, the intensity of flow reversal and the amount of entrained hot gases. For the purpose of validation, 11 combustor geometries were selected. The RANS simulation was carried out to estimate performance parameters, and predicted performance was compared against experimental data. The excellent agreement highlights the efficiency and promising future for the proposed methodology. Moreover, the association of prediction process with flow structure, instead of geometric features/dimension, makes it universal prediction methodology for wide range of combustor configurations.

show abstract

“…The representative works were achieved by Rizk and Mongia [28] and Sturgess et al [29][30][31]. Rizk and Mongia [28] combined Lefebvre's model for LBO with three-dimensional (3-D) computer codes.…”

Section: Introductionmentioning

confidence: 99%

“…The evaporation characteristics given by 3-D output was converted into the corresponding characteristics at LBO condition through a parameter that was established based on the ratio of the evaporation times at the two operating conditions, as determined from the evaluation of the values of Sauter mean diameter (SMD) and evaporation constant. Sturgess et al [29][30][31] developed a hybrid modeling approach for LBO predictions. The procedure began with a CFD calculation at representative operating conditions of interest.…”

Section: Introductionmentioning

confidence: 99%

Predicting Lean Blowout Limit of Combustors Based on Semi-Empirical Correlation and Simulation

Zhao

2016

Journal of Propulsion and Power

View full text Add to dashboard Cite

A method named characteristic curve of flame volume is achieved for lean blowout predictions on the basis of the improved Lefebvre's model and simulated reacting flows. Three main issues are presented: 1) Based on the results from combustion visualization experiments, Lefebvre's model is improved regarding its universality for combustor configurations. The flame volume near lean blowout V flame;LBO obtained from simulated reacting flow is introduced into the model. 2) Characteristic curve of flame volume is a functional curve of flame volume V flame and fuel/air ratio q in a certain combustor and is presented as an "S" pattern, with q ranging from stable operation to nearly engine-off conditions. The region where the fuel/air ratio ranges from 3 to 10 in characteristic curve of flame volume is the unstable combustion region, and nearly all of the lean blowout points fall in this region. 3) According to the relationship between characteristic curve of flame volume expressed as q fV flame and the improved Lefebvre's model expressed as q LBO f m V flame;LBO , a method named characteristic curve of flame volume is proposed for lean blowout predictions. By the comparison with experimental data on 26 combustors, the lean blowout fuel/air ratios obtained by the characteristic curve of flame volume method fit well with that obtained by experiments, having maximum and average errors of 24.2 and 7.0% between predictions and measurements.

show abstract

Design and Development of a Research Combustor for Lean Blow-Out Studies

Cited by 22 publications

References 0 publications

Sensing and Control of Combustion Instabilities in Swirl-Stabilized Combustors Using Diode-Laser Absorption

Sensing and Control of Combustion Instabilities in Swirl-Stabilized Combustors Using Diode-Laser Absorption

Prediction of lean blowout performance of gas turbine combustor based on flow structures

Predicting Lean Blowout Limit of Combustors Based on Semi-Empirical Correlation and Simulation

Contact Info

Product

Resources

About