Skip to main navigation Skip to search Skip to main content

Temperature field reconstruction of 3D luminous flames based on light field tomography theory

  • Zhi Tian Niu
  • , Hong Qi*
  • , Jing Wen Shi
  • , Ju Qi Zhang
  • , Ya Tao Ren
  • *Corresponding author for this work
  • School of Energy Science and Engineering, Harbin Institute of Technology
  • Ministry of Industry and Information Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Standard plenoptic camera can be used to capture multi-dimensional radiation information of high temperature luminous flame to reconstruct the temperature distribution. In this study, a novel method for reconstructing three-dimensional temperature field is proposed. This method is based on the optical tomography combined with standard plenoptic camera. The flame projection information from different planes is contained in one radiation image. In this model, we introduced the effective concept of the nearest neighbor method in the frequency domain to strip the interference of redundant information in the projection and to realize three-dimensional deconvolution. The flame emission intensity received by the pixels on the charge-coupled device sensor can be obtained according to the optical tomographic model. The temperature distributions of the axisymmetric and non-axisymmetric flames can be reconstructed by solving the mathematical model with the nearest neighbor method. The numerical results show that three-dimensional temperature fields of high temperature luminous flames can be retrieved, proving the validity of the proposed method.

Original languageEnglish
Pages (from-to)223-236
Number of pages14
JournalScience China Technological Sciences
Volume64
Issue number2
DOIs
StatePublished - Feb 2021
Externally publishedYes

Keywords

  • nearest neighbor method
  • optical tomography
  • retrieval temperature field
  • standard plenoptic camera
  • three-dimensional deconvolution

Fingerprint

Dive into the research topics of 'Temperature field reconstruction of 3D luminous flames based on light field tomography theory'. Together they form a unique fingerprint.

Cite this