3D Evolutionary Reconstruction of Scalar Fields in the Gas-Phase

Andreas Unterberger, Andreas Kempf and Khadijeh Mohri
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Andreas Unterberger: Institute for Combustion and Gas Dynamics, Fluid Dynamics, University of Duisburg-Essen, 47057 Duisburg, Germany
Andreas Kempf: Institute for Combustion and Gas Dynamics, Fluid Dynamics, University of Duisburg-Essen, 47057 Duisburg, Germany
Khadijeh Mohri: Institute for Combustion and Gas Dynamics, Fluid Dynamics, University of Duisburg-Essen, 47057 Duisburg, Germany

Energies, 2019, vol. 12, issue 11, 1-20

Abstract: An evolutionary reconstruction technique (ERT) was developed for three-dimensional (3D) reconstruction of luminescent objects, in particular turbulent flames for the first time. The computed tomography (CT) algorithm is comprised of a genetic algorithm (GA) and a ray-tracing software. To guide the reconstruction process, a mask is introduced. It uses a Metropolis algorithm (MA) to sample locations where specific genetic operators can be applied. Based on an extensive parameter study, performed on several types of phantoms, the ability of our algorithm for 3D reconstructions of fields with varying complexities is demonstrated. Furthermore, it was applied to three experiments, to reconstruct the instantaneous chemiluminescence field of a bunsen flame, a highly turbulent swirl flame and the turbulent Cambridge-Sandia stratified flame. Additionally, we show direct and quantitative comparison to an advanced computed tomography of chemiluminescence (CTC) method that is based on an algebraic reconstruction technique (ART). The results showed good agreement between CTC and ERT using both phantom data from flame simulations, and experimental data.

Keywords: tomography; combustion; genetic algorithm; ray-tracing; Monte–Carlo sampling (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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