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High Temperature Dispersed Particle Radiation Physical Properties and Temperature Measurement
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High Temperature Dispersed Particle Radiation Physical Properties and Temperature Measurement

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Materials Physics".

Deadline for manuscript submissions: closed (20 July 2024) | Viewed by 3062

Special Issue Editors

Prof. Dr. Hong Qi

E-Mail Website
Guest Editor
School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
Interests: metamaterials; semi-transparent materials; measurement technology; thermal properties of materials; radiative heat transfer; inverse problem; optimization
Special Issues, Collections and Topics in MDPI journals
Dr. Yatao Ren

E-Mail Website
Guest Editor
Associate Professor, School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
Interests: radiative heat transfer; inverse problem; optimization; heat and mass transfer
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In metal smelting, petrochemicals, aerospace, and atmospheric science, there are many complex dispersed substances composed of gases, liquids, solid particles, and mixtures. Measuring key parameters, such as dispersed particles' radiation characteristics and temperature distribution, is essential for various industries. The on-site high-temperature thermal test process is of great significance. The online monitoring mode of high-temperature dispersed particle radiation characteristics and temperature fields is limited by extreme environments, and its real-time accuracy still needs further improvement. The non-contact measurement method obtains the target parameters by reconstructing other boundary information. However, the multi-peak function solution problem caused by the joint inversion of multi-parameter groups faces considerable computational efficiency and complexity challenges.

This Special Issue aims to promote the progress and development of physical information measurement of high-temperature dispersed particles from the aspects of mechanism research and experimental technology and encourage researchers to publish their original research and innovative discoveries on the optimization calculation method of complex functions or extreme environment measurement technology when obtaining the radiation characteristics and temperature distribution of high temperature dispersed particles. Suitable topics include, but are not limited to, the following:

  • Numerical calculation method of high temperature dispersed particle radiation characteristics and temperature measurement;
  • Equipment design and experimental technology for online detection of physical properties of dispersed particles in high-temperature environments;
  • Research on the identification of multiple types and parameters of high-temperature dispersed particles;
  • High temperature dispersed particle spectral analysis and image processing.

Prof. Dr. Hong Qi
Dr. Yatao Ren
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • high temperature dispersion particles
  • particle radiation characteristics
  • radiation measurement
  • particle thermometry
  • spectral analysis
  • inverse problem
  • image processing

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Published Papers (3 papers)

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Research

18 pages, 29419 KiB  
Article
Optimization Design of Laser Arrays Based on Absorption Spectroscopy Imaging for Detecting Temperature and Concentration Fields
by Limei Fan, Fangxu Dong, Jian Duan, Yan Sun, Fei Wang, Junyan Liu, Zhenhe Tang and Liangwen Sun
Materials 2024, 17(14), 3569; https://doi.org/10.3390/ma17143569 - 18 Jul 2024
Viewed by 775
Abstract
Detecting temperature and concentration fields within engine combustors holds paramount significance in enhancing combustion efficiency and ensuring operational safety. Within the realm of engine combustors, the laminar absorption spectroscopy technique has garnered considerable attention. Particularly crucial is the optimization of the optical path [...] Read more.
Detecting temperature and concentration fields within engine combustors holds paramount significance in enhancing combustion efficiency and ensuring operational safety. Within the realm of engine combustors, the laminar absorption spectroscopy technique has garnered considerable attention. Particularly crucial is the optimization of the optical path configuration to enhance the efficacy of reconstruction. This study presents a flame parameter field reconstruction model founded on laminar absorption spectroscopy. Furthermore, an optimization approach for refining the optical path configuration is delineated. In addressing non-axisymmetric flames, the simulated annealing algorithm (SA) and Harris’s Hawk algorithm (HHO) are employed to optimize the optical path layout across varying beam quantities. The findings underscore a marked reduction in imaging errors with the optimized optical path configuration compared to conventional setups, thereby elevating detection precision. Notably, the HHO algorithm demonstrates superior performance over the SA algorithm in terms of optimization outcomes and computational efficiency. Compared with the parallel optical path, the optimized optical path of the HHO algorithm reduces the temperature field error by 25.5% and the concentration field error by 26.5%. Full article
(This article belongs to the Special Issue High Temperature Dispersed Particle Radiation Physical Properties and Temperature Measurement)
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28 pages, 12313 KiB  
Article
Simulation Analysis on the Characteristics of Aerosol Particles to Inhibit the Infrared Radiation of Exhaust Plumes
by Wei Li, Yurou Wang, Lei Zhang, Baohai Gao and Mingjian He
Materials 2024, 17(14), 3505; https://doi.org/10.3390/ma17143505 - 15 Jul 2024
Viewed by 732
Abstract
Aerosol infrared stealth technology is a highly effective method to reduce the intensity of infrared radiation by releasing aerosol particles around the hot exhaust plume. This paper uses a Computational Fluid Dynamics (CFD) two-phase flow model to simulate the exhaust plume fields of [...] Read more.
Aerosol infrared stealth technology is a highly effective method to reduce the intensity of infrared radiation by releasing aerosol particles around the hot exhaust plume. This paper uses a Computational Fluid Dynamics (CFD) two-phase flow model to simulate the exhaust plume fields of three kinds of engine nozzles containing aerosol particles. The Planck-weighted narrow spectral band gas model and the Reverse Monte Carlo method are used for infrared radiation transfer calculations to analyze the influencing factors and laws for the suppression of the infrared radiation properties of exhaust plumes by four typical aerosol particles. The simulation calculation results show that the radiation suppression efficiency of aerosol particles on the exhaust plume reaches its maximum value at a detection angle (ϕ) of 0° and decreases with increasing ϕ, reaching its minimum value at 90°. Reducing the aerosol particle size and increasing the aerosol mass flux can enhance the suppression effect. In the exhaust plume studied in this paper, the radiation suppression effect is best when the particle size is 1 μm and the mass flux is 0.08 kg/s. In addition, the inhibition of aerosol particles varies among different materials, with graphite having the best inhibition effect, followed by H2O, MgO, and SiO2. Solid particles will increase the radiation intensity and change the spectral radiation characteristics of the exhaust plume at detection angles close to the vertical nozzle axis due to the scattering effect. Finally, this paper analyzed the suppression effects of three standard nozzle configurations under the same aerosol particle condition and found that the S-bend nozzle provides better suppression. Full article
(This article belongs to the Special Issue High Temperature Dispersed Particle Radiation Physical Properties and Temperature Measurement)
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27 pages, 11802 KiB  
Article
Simultaneous Inversion of Particle Size Distribution, Thermal Accommodation Coefficient, and Temperature of In-Flame Soot Aggregates Using Laser-Induced Incandescence
by Junyou Zhang, Juqi Zhang and Xing Huang
Materials 2024, 17(3), 634; https://doi.org/10.3390/ma17030634 - 28 Jan 2024
Cited by 3 | Viewed by 952
Abstract
Measuring the size distribution and temperature of high-temperature dispersed particles, particularly in-flame soot, holds paramount importance across various industries. Laser-induced incandescence (LII) stands out as a potent non-contact diagnostic technology for in-flame soot, although its effectiveness is hindered by uncertainties associated with pre-determined [...] Read more.
Measuring the size distribution and temperature of high-temperature dispersed particles, particularly in-flame soot, holds paramount importance across various industries. Laser-induced incandescence (LII) stands out as a potent non-contact diagnostic technology for in-flame soot, although its effectiveness is hindered by uncertainties associated with pre-determined thermal properties. To tackle this challenge, our study proposes a multi-parameter inversion strategy—simultaneous inversion of particle size distribution, thermal accommodation coefficient, and initial temperature of in-flame soot aggregates using time-resolved LII signals. Analyzing the responses of different heat transfer sub-models to temperature rise demonstrates the necessity of incorporating sublimation and thermionic emission for accurately reproducing LII signals of high-temperature dispersed particles. Consequently, we selected a particular LII model for the multi-parameter inversion strategy. Our research reveals that LII-based particle sizing is sensitive to biases in the initial temperature of particles (equivalent to the flame temperature), underscoring the need for the proposed multi-parameter inversion strategy. Numerical results obtained at two typical flame temperatures, 1100 K and 1700 K, illustrate that selecting an appropriate laser fluence enables the simultaneous inversion of particle size distribution, thermal accommodation coefficient, and initial particle temperatures of soot aggregates with high accuracy and confidence using the LII technique. Full article
(This article belongs to the Special Issue High Temperature Dispersed Particle Radiation Physical Properties and Temperature Measurement)
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