CoChat
Sign Up
Cited by 9

The DOI matches its Crossref record.

Directional spectral emissivity measurement approach in a broad-spectrum at low temperatures: Device and methodology study

Yuan, Zeye, Li, Longfei, Yu, Kun, Zhang, Kaihua, Liu, Yufang·2024·Measurement
DOI 10.1016/j.measurement.2023.113999
Open this paper in CoChat — free account

Overview

Integrity signals

Registry

Crossref · 10.1016/j.measurement.2023.113999

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Based on liquid-nitrogen cooling, Yuan et al. validated the reliability of the system by measuring the directional spectral emissivity of objects under varying temperature (213 to 423 K), spectrum (5 to 100 μm) and angle (0 to 75°).

    “Based on liquid-nitrogen cooling, they validated the reliability of the system by measuring the directional spectral emissivity of objects under varying temperature (213 to 423 K), spectrum (5 to 100 µm) and angle (0 to 75 • ).”

    From Thermal Radiation Testing Methods at Cryogenic Temperatures: A Review (2026) · cites this paper as [55]

  • Yuan et al. (2024) from Henan Normal University proposed a novel cryogenic spectral emissivity measurement approach incorporating radiation modulation and background optimization algorithms.

    “Building on these advancements, Yuan et al. [55] from Henan Normal University proposed a novel cryogenic spectral emissivity measurement approach in 2024, incorporating radiation modulation and background optimization algorithms.”

    From Thermal Radiation Testing Methods at Cryogenic Temperatures: A Review (2026) · cites this paper as [55]

  • There has been a transition in the arrangement of key optical paths from external detectors to fully integrated designs.

    “Secondly, there has been a transition in the arrangement of key optical paths from external detectors [17,37,49,55] to fully integrated designs [54].”

    From Thermal Radiation Testing Methods at Cryogenic Temperatures: A Review (2026) · cites this paper as [55]

  • The management of background noise has advanced from simple subtraction to complex modeling and active adjustment, thereby enhancing the accuracy of testing systems.

    “Furthermore, the management of background noise has advanced from simple subtraction [44] to complex modeling and active adjustment [26,55], thereby enhancing the accuracy of testing systems.”

    From Thermal Radiation Testing Methods at Cryogenic Temperatures: A Review (2026) · cites this paper as [55]

  • The evolution of radiometric methods reveals a trend in cooling methods from reliance on external cryogenic liquids (such as liquid nitrogen and liquid helium) to integrated refrigeration systems.

    “Initially, cooling methods evolved from reliance on external cryogenic liquids [17,44,49,55], such as liquid nitrogen and liquid helium, to integrated refrigeration system [37,54].”

    From Thermal Radiation Testing Methods at Cryogenic Temperatures: A Review (2026) · cites this paper as [55]

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 38

  1. Wang, 2021, Scalable thermochromic smart windows with passive radiative cooling regulation, Science, 374, 1501, 10.1126/science.abg0291 · DOI
  2. Raman, 2014, Passive radiative cooling below ambient air temperature under direct sunlight, Nature, 515, 540, 10.1038/nature13883 · DOI
  3. Wu, 2023, Broadband multispectral compatible absorbers for radar, infrared and visible stealth application, Prog. Mater. Sci., 135, 10.1016/j.pmatsci.2023.101088 · DOI
  4. Song, 2020, Radiative metasurface for thermal camouflage, illusion and messaging, Opt. Express, 28, 875, 10.1364/OE.378424 · DOI
  5. Lin, 2022, All-weather thermochromic windows for synchronous solar and thermal radiation regulation, Sci. Adv., 8, eabn7359, 10.1126/sciadv.abn7359 · DOI
  6. Zhou, 2022, Synergistic modulation of solar and thermal radiation in dynamic energy-efficient windows, Nano Energy, 93, 10.1016/j.nanoen.2021.106865 · DOI
  7. Hu, 2021, Thermal camouflaging metamaterials, Mater. Today, 45, 120, 10.1016/j.mattod.2020.11.013 · DOI
  8. Zhao, 2019, Radiative cooling: A review of fundamentals, materials, applications, and prospects, Appl. Energ., 236, 489, 10.1016/j.apenergy.2018.12.018 · DOI
  9. Králík, 2016, Method for measurement of emissivity and absorptivity of highly reflective surfaces from 20 K to room temperatures, Metrologia, 53, 743, 10.1088/0026-1394/53/2/743 · DOI · Paper page
  10. Musilova, 2005, Low temperature radiative properties of materials used in cryogenics, Cryogenics, 45, 529, 10.1016/j.cryogenics.2004.11.010 · DOI · Paper page
  11. Duckworth, 2006, Measurement of the Emissivity of Clean and Contaminated Silver Plated Copper Surfaces at Cryogenic Temperatures, AIP Conf. Pro., 61, 10.1063/1.2192334 · DOI · Paper page
  12. Tuttle, 2014, The area-density-dependence of Ball IR Black’s low-temperature emissivity, Cryogenics, 64, 240, 10.1016/j.cryogenics.2014.04.024 · DOI
  13. Yenni, 2018, Emissivity estimation of spacecraft thermal control surfaces at cryogenic temperatures – a novel experimental approach, Heat Mass Transf., 55, 1465, 10.1007/s00231-018-2513-1 · DOI
  14. Lucchesi, 2023, Experimental setup for direct measurements of spectral directional emissivity from 0° to 80° angles at temperatures as low as 40 °C, Int. J. Therm. Sci., 185, 108045, 10.1016/j.ijthermalsci.2022.108045 · DOI
  15. Zhang, 2017, An improved algorithm for spectral emissivity measurements at low temperatures based on the multi-temperature calibration method, Int. J. Heat Mass Transf., 114, 1037, 10.1016/j.ijheatmasstransfer.2017.06.133 · DOI
  16. Hao, 2018, Vacuum Radiance-Temperature Standard Facility for Infrared Remote Sensing at NIM, Int. J. Thermophys., 39, 78, 10.1007/s10765-018-2396-x · DOI · Paper page
  17. Ma, 2019, An Apparatus for Spectral Emissivity Measurements of Thermal Control Materials at Low Temperatures, Materials, 12, 1141, 10.3390/ma12071141 · DOI
  18. Adibekyan, 2014, Emissivity Measurement Under Vacuum from 4 μm to 100 μm and from -40 ℃ to 450 ℃ at PTB, Int. J. Thermophys., 36, 283, 10.1007/s10765-014-1745-7 · DOI · Paper page
  19. Coppa, 2005, Normal emissivity of samples surrounded by surfaces at diverse temperatures, Measurement, 38, 124, 10.1016/j.measurement.2005.05.001 · DOI
  20. Ishii, 2001, Uncertainty estimation for emissivity measurements near room temperature with a Fourier transform spectrometer, Meas. Sci. Technol., 12, 2103, 10.1088/0957-0233/12/12/311 · DOI
  21. Dai, 2005, Fourier transform spectrometer for spectral emissivity measurement in the temperature range between 60 and 1500°C, J. Phys. Conf. Ser., 13, 63, 10.1088/1742-6596/13/1/015 · DOI
  22. Campo, 2006, New experimental device for infrared spectral directional emissivity measurements in a controlled environment, Rev. Sci. Instrum., 77, 113111, 10.1063/1.2393157 · DOI
  23. González-Fernández, 2010, Analysis of calibration methods for direct emissivity measurements, Appl. Opt., 49, 2728, 10.1364/AO.49.002728 · DOI
  24. Zhao, 2023, Fast Emissivity Measuring Apparatus With Adjustable Focusing and Field Calibration, IEEE Trans. Instrum. Meas., 72, 1
  25. Honner, 2015, Survey of emissivity measurement by radiometric methods, Appl. Opt., 54, 669, 10.1364/AO.54.000669 · DOI · Paper page
  26. Li, 2021, High accurate multi-angular polarized spectrum thermometry for smooth surface, Infrared Phys. Technol., 115, 10.1016/j.infrared.2021.103750 · DOI
  27. Yuan, 2022, New directional spectral emissivity measurement apparatus simultaneously collecting the blackbody and sample radiation, Rev. Sci. Instrum., 93, 10.1063/5.0073459 · DOI
  28. Tang-Kwor, 2001, Emissivity measurements for Nextel Velvet Coating 811–21 between -36 ℃ and 82 ℃, High Temp.-High Press., 33, 551, 10.1068/htwu385 · DOI
  29. Cárdenas-García, 2014, Bilateral Intercomparison of Spectral Directional Emissivity Measurement Between CENAM and PTB, Int. J. Thermophys., 35, 1299, 10.1007/s10765-014-1686-1 · DOI
  30. Manning, 1991, Step-scan Fourier-transform infrared spectrometer, Rev. Sci. Instrum., 62, 1219, 10.1063/1.1142003 · DOI
  31. Fu, 2013, Generalized lock-in amplifier for precision measurement of high frequency signals, Rev. Sci. Instrum., 84, 115101, 10.1063/1.4827085 · DOI
  32. Wang, 2016, A novel integrated simulation approach couples MCRT and Gebhart methods to simulate solar radiation transfer in a solar power tower system with a cavity receiver, Renew. Energ., 89, 93, 10.1016/j.renene.2015.11.069 · DOI
  33. Zhang, 2020, Modified two-temperature calibration method for emissivity measurements at high temperatures, Appl. Therm. Eng., 168, 10.1016/j.applthermaleng.2019.114854 · DOI
  34. Rousseau, 2005, Temperature Measurement: Christiansen Wavelength and Blackbody Reference, Int. J. Thermophys., 26, 1277, 10.1007/s10765-005-6726-4 · DOI
  35. Manara, 2011, Infrared-optical characteristics of ceramics at elevated temperatures, Infrared Phys. Technol., 54, 395, 10.1016/j.infrared.2011.06.001 · DOI
  36. Cagran, 2007, Temperature-Resolved Infrared Spectral Emissivity of SiC and Pt–10Rh for Temperatures up to 900°C, Int. J. Thermophys., 28, 581, 10.1007/s10765-007-0183-1 · DOI
  37. Monte, 2010, The determination of the uncertainties of spectral emissivity measurements in air at the PTB, Metrologia, 47, S172, 10.1088/0026-1394/47/2/S14 · DOI
  38. Honnerová, 2017, Uncertainty determination in high-temperature spectral emissivity measurement method of coatings, Appl. Therm. Eng., 124, 261, 10.1016/j.applthermaleng.2017.06.022 · DOI

Cited by

Sorted by citations

Metadata

Authors
Yuan, Z., Li, L., Yu, K., Zhang, K., & Liu, Y.
ORCID
Liu, Yufang
Venue
Measurement
Publisher
Elsevier BV
Published
2024-02
Volume
225
Pages
113999
ISSN
0263-2241
DOI
10.1016/j.measurement.2023.113999
Cited by
9
References
0
Language
en
Licence
Funders
  • Henan University (23IRTSTHN013)
  • Natural Science Foundation of Henan Province (222300420011, 222300420209)
  • Henan Provincial Science and Technology Research Project (222102220078)
  • National Natural Science Foundation of China (61627818, 62075058)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review