期刊
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
卷 211, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijheatmasstransfer.2023.124282
关键词
Tomographic reconstruction; Radiative transfer; Backward Monte Carlo; Light field imaging; Adaptive threshold segmentation iterative; regularization method
Optical tomography is a powerful tool for measuring the dynamic characteristics of turbulent flames, but previous research lacked the study of wall reflections and temperature influences. This study analyzes the effect of wall radiation on photothermal information and reconstructs flame temperature with wall radiation. The proposed ATSIR method improves reconstruction quality and provides valuable insights for the safety design of combustion chambers and fuel utilization.
Optical tomography has been demonstrated to be a powerful tool for the three-dimensional (3D) mea-surement of the dynamic characteristics of turbulent flame. Many practical visualizations of reaction flows require imaging through optical windows on the combustor, which have complex interactions with wall temperature, reflection characteristics, and limited optical access, which may seriously influence the imaging quality. Previous work focused on unconfined flame imaging, and lacked the study of the multi-ple reflection effects of the wall and the tomographic reconstruction within a wide temperature range. To solve these problems, the effect of chamber wall radiation on the photothermal information is analyzed in the forward problem, and the flame temperature with wall radiation is reconstructed in the inverse prob-lem. In the forward problem, the light field acquisition model of spontaneous emission of the confined flame is developed through the backward Monte Carlo method based on the radiation distribution factor, which can comprehensively consider the essential effects such as radiative attenuation, wall reflection, medium scattering interference, and limited optical access. The recorded light field signals indicate that the reflection pattern and transfer mechanism of the wall material could affect the contribution of ra-diative source terms in different discrete domains to the detected energy. A novel tomography algorithm, namely, the adaptive threshold segmentation iterative regularization (ATSIR) method, has been proposed to extend the temperature range of tomography. The key of this method is to carry out a two-step recon-struction of the high and low-temperature regions through the temperature threshold, and introduce the prior smoothing information to alleviate the ill-posedness of tomography. The visualization results show that the well-established algorithms (e.g., least-square QR-factorization and regularization) have lower re-construction quality for the combustion field within a wide temperature range, even if the regularization term is added. However, the proposed ATSIR method has the advantages of better suppression of fluctu-ations, smaller reconstruction error, and stronger anti-noise ability. The detailed analysis of the radiative transfer mode and 3D temperature visualization of the combustion field in a confined space can provide a valuable guideline for the safety design of the engine combustion chamber and fuel utilization.(c) 2023 Elsevier Ltd. All rights reserved.
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