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Application of landweber method for three-dimensional temperature field reconstruction based on the light-field imaging technique

  • Xing Huang
  • , Hong Qi*
  • , Xiao Luo Zhang
  • , Ya Tao Ren
  • , Li Ming Ruan
  • , He Ping Tan
  • *Corresponding author for this work
  • School of Energy Science and Engineering, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Combined with the light-field imaging technique, the Landweber method is applied to the reconstruction of three-dimensional (3D) temperature distribution in absorbing media theoretically and experimentally. In the theoretical research, simulated exit radiation intensities on the boundary of absorbing media according to the computing model of light field are employed as inputs for inverse analysis. Compared with the commonly used iterative methods, i.e., the least-square QR decomposition method and algebraic reconstruction technique (ART), the Landweber method can produce reconstruction results with better quality and less computational time. Based on the numerical study, an experimental investigation is conducted to validate the suitability of the proposed method. The temperature distribution of the ethylene diffusion flame is reconstructed by using the Landweber method from the flame image captured by a light-field camera. Good agreement was found between the reconstructed temperature distribution and the measured temperature data obtained by a thermocouple. All the experimental results demonstrate that the temperature distribution of ethylene flame can be reconstructed reasonably by using the Landweber method combined with the light-field imaging technique, which is proven to have potential for the use in noncontract measurement of temperature distribution in practical engineering applications.

Original languageEnglish
Article number082701
JournalJournal of Heat Transfer
Volume140
Issue number8
DOIs
StatePublished - Aug 2018
Externally publishedYes

Keywords

  • Landweber method
  • Light-field imaging
  • Reconstruction of temperature field

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