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Flame temperature reconstruction through multi-plenoptic camera technique

Qi, Qi, Hossain, MD Moinul, Zhang, Biao, Ling, Tianxiang, Xu, Chuanlong (2019) Flame temperature reconstruction through multi-plenoptic camera technique. Measurement Science and Technology, 30 . Article Number 124002. ISSN 0957-0233. (doi:10.1088/1361-6501/ab2e98) (KAR id:75406)

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https://doi.org/10.1088/1361-6501/ab2e98

Abstract

Due to the variety of burner structure and fuel mixing, the flame temperature distribution is not only irregular but also complex. Therefore, it is necessary to develop an advanced temperature measurement technique, which can provide not only adequate flame radiative information but also reconstruct complex flame temperature accurately. In this paper, a novel multi-plenoptic camera imaging technique is proposed which is not only provide adequate flame radiative information from two different directions but also reconstruct the complex flame temperature distribution accurately. An inverse algorithm i.e., Non-Negative Least Squares is used to reconstruct the flame temperature. The bimodal asymmetric temperature distribution is considered to verify the feasibility of the proposed system. Numerical simulations and experiments were carried out to evaluate the performance of the proposed technique. Simulation results demonstrate that the proposed system is able to provide higher reconstruction accuracy although the reconstruction accuracy decreases with the increase of noise levels. Meanwhile, compared with the single plenoptic and conventional multi-camera techniques, the proposed method has the advantages of lower relative error and better reconstruction quality even with higher noise levels. The proposed technique is further verified by experimental studies. The experimental results also demonstrate that the proposed technique is effective and feasible for the reconstruction of flame temperature. Therefore, the proposed multi-plenoptic camera imaging technique is capable of reconstructing the complex flame temperature fields more precisely.

Item Type: Article
DOI/Identification number: 10.1088/1361-6501/ab2e98
Uncontrolled keywords: flame temperature, non-negative least squares algorithm, plenoptic camera, 3D reconstruction
Subjects: Q Science
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Moinul Hossain
Date Deposited: 17 Jul 2019 12:30 UTC
Last Modified: 16 Feb 2021 14:06 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/75406 (The current URI for this page, for reference purposes)
Hossain, MD Moinul: https://orcid.org/0000-0003-4184-2397
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