Next Article in Journal
Novel Segmented Roadside Plugging-Filling Mining Method and Overlying Rock Mechanical Mechanism Analyses
Next Article in Special Issue
Axisymmetric Linear Hyperspectral Absorption Spectroscopy and Residuum-Based Parameter Selection on a Counter Flow Burner
Previous Article in Journal
Integration of Measurements and Time Diaries as Complementary Measures to Improve Resolution of BES
Open AccessArticle

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

Institute for Combustion and Gas Dynamics, Fluid Dynamics, University of Duisburg-Essen, 47057 Duisburg, Germany
Author to whom correspondence should be addressed.
Energies 2019, 12(11), 2075;
Received: 12 April 2019 / Revised: 17 May 2019 / Accepted: 21 May 2019 / Published: 30 May 2019
(This article belongs to the Special Issue Tomographic and Volumetric Diagnostics in Flames)
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. View Full-Text
Keywords: tomography; combustion; genetic algorithm; ray-tracing; Monte–Carlo sampling tomography; combustion; genetic algorithm; ray-tracing; Monte–Carlo sampling
Show Figures

Figure 1

MDPI and ACS Style

Unterberger, A.; Kempf, A.; Mohri, K. 3D Evolutionary Reconstruction of Scalar Fields in the Gas-Phase. Energies 2019, 12, 2075.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop