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A Novel Plenoptic Camera-Based Measurement System for the Investigation into Flight and Combustion Behavior of Refuse-Derived Fuel Particles

[Image: see text] In the past several decades, refuse-derived fuels (RDFs) have been widely applied in industrial combustion processes, for instance, in cement production. Since RDF is composed of various waste fractions with complex shapes, its flight and combustion behaviors can be relatively comp...

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Autores principales: Zhang, Miao, Vogelbacher, Markus, Aleksandrov, Krasimir, Gehrmann, Hans-Joachim, Stapf, Dieter, Streier, Robin, Wirtz, Siegmar, Scherer, Viktor, Matthes, Jörg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10193542/
https://www.ncbi.nlm.nih.gov/pubmed/37214717
http://dx.doi.org/10.1021/acsomega.2c08004
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author Zhang, Miao
Vogelbacher, Markus
Aleksandrov, Krasimir
Gehrmann, Hans-Joachim
Stapf, Dieter
Streier, Robin
Wirtz, Siegmar
Scherer, Viktor
Matthes, Jörg
author_facet Zhang, Miao
Vogelbacher, Markus
Aleksandrov, Krasimir
Gehrmann, Hans-Joachim
Stapf, Dieter
Streier, Robin
Wirtz, Siegmar
Scherer, Viktor
Matthes, Jörg
author_sort Zhang, Miao
collection PubMed
description [Image: see text] In the past several decades, refuse-derived fuels (RDFs) have been widely applied in industrial combustion processes, for instance, in cement production. Since RDF is composed of various waste fractions with complex shapes, its flight and combustion behaviors can be relatively complicated. In this paper, we present a novel plenoptic camera-based spatial measurement system that uses image processing approaches to determine the dwell time, the space-sliced velocity in the depth direction, and the ignition time of various applied RDF fractions based on the obtained images. The image processing approach follows the concept of tracking-by-detection and includes a novel combined detection method, a 2.5D multiple particle tracking algorithm, and a postprocessing framework to tackle the issues in the initial tracking results. The thereby obtained complete spatial fuel trajectories enable the analysis of the flight behaviors elaborated in the paper. The acquired particles’ properties (duration, velocity, and ignition time) reversely prove the availability and applicability of the developed measurement system. The adequacy and accuracy of the proposed novel measurement system are validated by the experiments of detecting and tracking burning and nonburning fuel particles in a rotary kiln. This new measurement system and the provided experimental results can benefit a better understanding of the RDF’s combustion for future research.
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spelling pubmed-101935422023-05-19 A Novel Plenoptic Camera-Based Measurement System for the Investigation into Flight and Combustion Behavior of Refuse-Derived Fuel Particles Zhang, Miao Vogelbacher, Markus Aleksandrov, Krasimir Gehrmann, Hans-Joachim Stapf, Dieter Streier, Robin Wirtz, Siegmar Scherer, Viktor Matthes, Jörg ACS Omega [Image: see text] In the past several decades, refuse-derived fuels (RDFs) have been widely applied in industrial combustion processes, for instance, in cement production. Since RDF is composed of various waste fractions with complex shapes, its flight and combustion behaviors can be relatively complicated. In this paper, we present a novel plenoptic camera-based spatial measurement system that uses image processing approaches to determine the dwell time, the space-sliced velocity in the depth direction, and the ignition time of various applied RDF fractions based on the obtained images. The image processing approach follows the concept of tracking-by-detection and includes a novel combined detection method, a 2.5D multiple particle tracking algorithm, and a postprocessing framework to tackle the issues in the initial tracking results. The thereby obtained complete spatial fuel trajectories enable the analysis of the flight behaviors elaborated in the paper. The acquired particles’ properties (duration, velocity, and ignition time) reversely prove the availability and applicability of the developed measurement system. The adequacy and accuracy of the proposed novel measurement system are validated by the experiments of detecting and tracking burning and nonburning fuel particles in a rotary kiln. This new measurement system and the provided experimental results can benefit a better understanding of the RDF’s combustion for future research. American Chemical Society 2023-05-01 /pmc/articles/PMC10193542/ /pubmed/37214717 http://dx.doi.org/10.1021/acsomega.2c08004 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Zhang, Miao
Vogelbacher, Markus
Aleksandrov, Krasimir
Gehrmann, Hans-Joachim
Stapf, Dieter
Streier, Robin
Wirtz, Siegmar
Scherer, Viktor
Matthes, Jörg
A Novel Plenoptic Camera-Based Measurement System for the Investigation into Flight and Combustion Behavior of Refuse-Derived Fuel Particles
title A Novel Plenoptic Camera-Based Measurement System for the Investigation into Flight and Combustion Behavior of Refuse-Derived Fuel Particles
title_full A Novel Plenoptic Camera-Based Measurement System for the Investigation into Flight and Combustion Behavior of Refuse-Derived Fuel Particles
title_fullStr A Novel Plenoptic Camera-Based Measurement System for the Investigation into Flight and Combustion Behavior of Refuse-Derived Fuel Particles
title_full_unstemmed A Novel Plenoptic Camera-Based Measurement System for the Investigation into Flight and Combustion Behavior of Refuse-Derived Fuel Particles
title_short A Novel Plenoptic Camera-Based Measurement System for the Investigation into Flight and Combustion Behavior of Refuse-Derived Fuel Particles
title_sort novel plenoptic camera-based measurement system for the investigation into flight and combustion behavior of refuse-derived fuel particles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10193542/
https://www.ncbi.nlm.nih.gov/pubmed/37214717
http://dx.doi.org/10.1021/acsomega.2c08004
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