High-resolution computed tomography of a turbulent reacting flow

Upton, Timothy D.; Verhoeven, Dean D.; Hudgins, D. E.

doi:10.1007/s00348-010-0900-6

Cited by 45 publications

(21 citation statements)

References 16 publications

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“…To date there have been a number of studies involving the application of inverse Radon transform based three-dimensional tomographic reconstruction to flames [12][13][14][15][16][17][18][19]. Most of the studies were performed on steady laminar flames where a limited number of line-of-sight luminosity measurements were used to reconstruct the three-dimensional luminosity distribution [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

“…More recently, this technique has also been applied to turbulent flames where the distribution of OH* chemiluminescence of nonpremixed turbulent flames [16,17], and the light intensity distribution of turbulent swirling flames [18] are studied. In addition to the inverse Radon transform, iterative tomographic reconstruction techniques such the algebraic reconstruction technique (ART) [19][20][21] and the maximum likelihood-expectation maximization (MLEM) [22,23] as well as contour extraction methods [24,25] have also been used to reconstruct 3D images of flames.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Three-Dimensional Chemiluminescence Imaging of Unforced and Forced Swirl-Stabilized Flames in a Lean Premixed Multi-Nozzle Can Combustor

Samarasinghe¹,

Peluso²,

Szedlmayer³

et al. 2013

Journal of Engineering for Gas Turbines and Power

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A tomographic image reconstruction technique has been developed to measure the 3D distribution of CH* chemiluminescence of unforced and forced turbulent premixed flames. Measurements are obtained in a lean premixed, swirl-stabilized multi-nozzle can combustor. Line-of-sight images are acquired at equally spaced angle increments using a single intensified charge-coupled device camera. 3D images of the flames are reconstructed by applying a filtered back projection algorithm to the acquired line-of-sight images. Methods of viewing 3D images to characterize the structure, dynamics, interaction and spatial differences of multi-nozzle flames are presented. Accuracy of the reconstruction technique is demonstrated by comparing reconstructed line-of-sight images to measured line-of-sight downstream-view images of unforced flames. The effect of the number of acquired projection images on the quality of the reconstruction is assessed.The reconstructed 3D images of the unforced multi-nozzle flames show the structure of individual flames as well as the interaction regions between flames. Forced flame images are obtained by phase-synchronizing the camera to the forcing cycle. The resulting 3D reconstructions of forced flames reveal the spatial and temporal response of the multinozzle flame structure to imposed velocity fluctuations, information which is essential to identifying the underlying mechanisms responsible for this behavior.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Chemiluminescence Imaging of Unforced and Forced Swirl-Stabilized Flames in a Lean Premixed Multi-Nozzle Can Combustor

Samarasinghe¹,

Peluso²,

Szedlmayer³

et al. 2013

Journal of Engineering for Gas Turbines and Power

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“…The computational modeling of flame is given significant attention in industrial monitor and control [1][2][3] as well as in other fields of experimental science [4,5]. Since temperature is one of the most essential physical parameters to flame, the reconstructing of flame temperature field becomes a hotspot, and is significantly valuable to related industries [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Image based temperature field reconstruction for combustion flame

Wang¹,

Wang

Cheng³

2015

Optik

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“…Some researchers [6,7] focus on the characterization of flame geometry based on images. Bheemul et al [6] introduced an instrumentation system for the three-dimensional quantitative characterization of flame geometry, where a set of geometric parameters including volume, surface area, orientation, length and circularity are obtained.…”

Section: Related Workmentioning

confidence: 99%

“…Bheemul et al [6] introduced an instrumentation system for the three-dimensional quantitative characterization of flame geometry, where a set of geometric parameters including volume, surface area, orientation, length and circularity are obtained. Upton et al [7] put forward an optical acquisition system which collects projection data from 12 directions to measure the flame surface of the turbulent reacting flow. It is effective to observe the details of turbulent combustion, but difficult to calibrate since the two views are imaged to each of the six cameras using a mirror array.…”

Section: Related Workmentioning

confidence: 99%

Reconstruction of three-dimensional flame with color temperature

Zhou

Tian

et al. 2014

Vis Comput

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The reconstruction of flame from the captured images is a difficult and computationally expensive problem. Reconstruction from color images will keep the colorful appearance, as is beneficial for visually realistic flame modeling. Most of existing color-image-based methods rebuild three density fields from RGB intensities; however, these methods suffer from the color distortion problem due to the high correlation of RGB intensities. A novel method for 3D flame reconstruction using color temperature is presented in this paper. Color-temperature mapping is calculated to avoid color distortion; this method maps the RGB intensities into the color temperature and its joint intensity. We improve the multiplication reconstruction with visual hull restriction so that the energy distribution is more reasonable, which allows avoidance of the impossible zones. Experimental results indicate that our approach is efficient in the visually plausible 3D flame generation and produces better color restorations.

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High-resolution computed tomography of a turbulent reacting flow

Cited by 45 publications

References 16 publications

Three-Dimensional Chemiluminescence Imaging of Unforced and Forced Swirl-Stabilized Flames in a Lean Premixed Multi-Nozzle Can Combustor

Three-Dimensional Chemiluminescence Imaging of Unforced and Forced Swirl-Stabilized Flames in a Lean Premixed Multi-Nozzle Can Combustor

Image based temperature field reconstruction for combustion flame

Reconstruction of three-dimensional flame with color temperature

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