Optimising laser absorption tomography beam arrays for imaging chemical species in gas turbine engine exhaust plumes

D. McCormick; M. G. Twynstra; K. J. Daun; H. McCann

Optimising laser absorption tomography beam arrays for imaging chemical species in gas turbine engine exhaust plumes

D. McCormick^*, M. G. Twynstra, K. J. Daun, H. McCann

^*Corresponding author for this work

School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

This paper will describe the application of resolution matrices to the design of an optimised 126 beam, 6m absorption tomography array for imaging concentrations of CO2 in the exhaust plume of a Rolls-Royce Trent 1000 gas turbine engine. The resolution matrix will be used to define a fitness value, which is a function of the beam configuration, and is minimised by the optimal beam arrangement. Constraints ensure that the optimised beam arrangement can be implemented in a real tomography system. Genetic algorithms are used to determine the optimal array design from the large problem set.Results for image reconstructions of a quasi-realistic phantom of the exhaust plume for each of the array designs are presented with indications of the reconstruction errors. From the results, conclusions are drawn on the suitability of applying resolution matrices to the design of beam arrays for real limited-data tomographic systems.

Original language	English
Title of host publication	7th World Congress in Industrial Process Tomography
Publisher	International Society for Industrial Process Tomography
Pages	505-514
Number of pages	10
ISBN (Print)	9780853163237
Publication status	Published - 1 Jan 2014
Event	7th World Congress in Industrial Process Tomography, WCIPT7 - Krakow, United Kingdom Duration: 2 Sept 2013 → 5 Sept 2013

Conference

Conference	7th World Congress in Industrial Process Tomography, WCIPT7
Country/Territory	United Kingdom
City	Krakow
Period	2/09/13 → 5/09/13

Keywords / Materials (for Non-textual outputs)

Absorption tomography
Array design
Chemical species
Gas turbine engines
Image reconstruction

Cite this

@inproceedings{2a92e145ddf6408f81ff01d60b5de9ea,

title = "Optimising laser absorption tomography beam arrays for imaging chemical species in gas turbine engine exhaust plumes",

abstract = "This paper will describe the application of resolution matrices to the design of an optimised 126 beam, 6m absorption tomography array for imaging concentrations of CO2 in the exhaust plume of a Rolls-Royce Trent 1000 gas turbine engine. The resolution matrix will be used to define a fitness value, which is a function of the beam configuration, and is minimised by the optimal beam arrangement. Constraints ensure that the optimised beam arrangement can be implemented in a real tomography system. Genetic algorithms are used to determine the optimal array design from the large problem set.Results for image reconstructions of a quasi-realistic phantom of the exhaust plume for each of the array designs are presented with indications of the reconstruction errors. From the results, conclusions are drawn on the suitability of applying resolution matrices to the design of beam arrays for real limited-data tomographic systems.",

keywords = "Absorption tomography, Array design, Chemical species, Gas turbine engines, Image reconstruction",

author = "D. McCormick and Twynstra, {M. G.} and Daun, {K. J.} and H. McCann",

year = "2014",

month = jan,

day = "1",

language = "English",

isbn = "9780853163237",

pages = "505--514",

booktitle = "7th World Congress in Industrial Process Tomography",

publisher = "International Society for Industrial Process Tomography",

note = "7th World Congress in Industrial Process Tomography, WCIPT7 ; Conference date: 02-09-2013 Through 05-09-2013",

}

McCormick, D, Twynstra, MG, Daun, KJ & McCann, H 2014, Optimising laser absorption tomography beam arrays for imaging chemical species in gas turbine engine exhaust plumes. in 7th World Congress in Industrial Process Tomography. International Society for Industrial Process Tomography, pp. 505-514, 7th World Congress in Industrial Process Tomography, WCIPT7, Krakow, United Kingdom, 2/09/13.

Optimising laser absorption tomography beam arrays for imaging chemical species in gas turbine engine exhaust plumes. / McCormick, D.; Twynstra, M. G.; Daun, K. J. et al.
7th World Congress in Industrial Process Tomography. International Society for Industrial Process Tomography, 2014. p. 505-514.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Optimising laser absorption tomography beam arrays for imaging chemical species in gas turbine engine exhaust plumes

AU - McCormick, D.

AU - Twynstra, M. G.

AU - Daun, K. J.

AU - McCann, H.

PY - 2014/1/1

Y1 - 2014/1/1

N2 - This paper will describe the application of resolution matrices to the design of an optimised 126 beam, 6m absorption tomography array for imaging concentrations of CO2 in the exhaust plume of a Rolls-Royce Trent 1000 gas turbine engine. The resolution matrix will be used to define a fitness value, which is a function of the beam configuration, and is minimised by the optimal beam arrangement. Constraints ensure that the optimised beam arrangement can be implemented in a real tomography system. Genetic algorithms are used to determine the optimal array design from the large problem set.Results for image reconstructions of a quasi-realistic phantom of the exhaust plume for each of the array designs are presented with indications of the reconstruction errors. From the results, conclusions are drawn on the suitability of applying resolution matrices to the design of beam arrays for real limited-data tomographic systems.

AB - This paper will describe the application of resolution matrices to the design of an optimised 126 beam, 6m absorption tomography array for imaging concentrations of CO2 in the exhaust plume of a Rolls-Royce Trent 1000 gas turbine engine. The resolution matrix will be used to define a fitness value, which is a function of the beam configuration, and is minimised by the optimal beam arrangement. Constraints ensure that the optimised beam arrangement can be implemented in a real tomography system. Genetic algorithms are used to determine the optimal array design from the large problem set.Results for image reconstructions of a quasi-realistic phantom of the exhaust plume for each of the array designs are presented with indications of the reconstruction errors. From the results, conclusions are drawn on the suitability of applying resolution matrices to the design of beam arrays for real limited-data tomographic systems.

KW - Absorption tomography

KW - Array design

KW - Chemical species

KW - Gas turbine engines

KW - Image reconstruction

UR - http://www.scopus.com/inward/record.url?scp=84910117235&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84910117235

SN - 9780853163237

SP - 505

EP - 514

BT - 7th World Congress in Industrial Process Tomography

PB - International Society for Industrial Process Tomography

T2 - 7th World Congress in Industrial Process Tomography, WCIPT7

Y2 - 2 September 2013 through 5 September 2013

ER -

Optimising laser absorption tomography beam arrays for imaging chemical species in gas turbine engine exhaust plumes

Abstract / Description of output

Conference

Keywords / Materials (for Non-textual outputs)

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Cite this