Emissivity of spinel and titanate structures aiming at the development of industrial high-temperature ceramic coatings

Sako, Eric Y.; Orsolini, Heloisa Daltoso; Moreira, M.H.; Meneses, D. De Sousa; Pandolfelli, V. C.

doi:10.1016/j.jeurceramsoc.2020.11.010

Cited by 18 publications

(5 citation statements)

References 13 publications

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“…At present, an array of materials exhibiting elevated emissivity values suitable for high-temperature coating application has been explored. Notable examples include spinels, [8][9][10][11][12] magnetoplumbitetype hexa-aluminates, 13,14 chromates, 15,16 and carbides. 17 Zeng et al have prepared HfO 2 -based high infrared emissivity coating above 0.87 at 1600 • C by reducing the energy band gap for materials.…”

Section: Introductionmentioning

confidence: 99%

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Feasibility research of perovskite‐type PrAlO_3+δ as high‐temperature infrared radiation coating

Xu,

Chen,

Lü

et al. 2024

J Am Ceram Soc.

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Thermal radiation coating with low thermal conductivity and high infrared emissivity are desirable. In this work, a novel rare‐earth aluminate (PrAlO3+δ with rhombohedral structure) was synthesized via solid‐state reaction method, and the corresponding coating was fabricated using atmospheric plasma spraying (APS). The study encompassed an investigation into the phase structure, high‐temperature phase stability, thermo‐mechanical characteristics, and infrared properties. The results illustrate that as‐deposited coating contained amorphous phase, but recrystallized coating presented phase stability up to 1600°C. Furthermore, the recrystallized coating exhibited low thermal conductivity of 1.35 W/m K at 900°C as well as an average coefficient of thermal expansion of 10.36 × 10−6/K. Also, the coating exhibited high infrared emissivity related to high valance state (Pr4+) and oxygen vacancies. And the average infrared emissivity within 2–14 µm was 0.822 at 1300°C and presented slight decrease with the increase of temperature (the average infrared emissivity of 0.795 at 1800°C).

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Section: Introductionmentioning

confidence: 99%

“…At present, an array of materials exhibiting elevated emissivity values suitable for high‐temperature coating application has been explored. Notable examples include spinels, 8–12 magnetoplumbite‐type hexa‐aluminates, 13,14 chromates, 15,16 and carbides 17 . Zeng et al.…”

Section: Introductionmentioning

confidence: 99%

Feasibility research of perovskite‐type PrAlO_3+δ as high‐temperature infrared radiation coating

Xu,

Chen,

Lü

et al. 2024

J Am Ceram Soc.

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“…7 Up to now, the research on high infrared radiation materials has mainly focused on chalcocite, spinel, cordierite, and magnetite systems. 1,8 Among them, the spinel-structured ferrites with the formula of MFe 2 O 4 (M = Mn, Co, Zn, Ni, Cu, Mg, etc.) have been of great interest to researchers owing to their large electronegativity difference between Fe and O as well as more symmetric operation and vibrational modes.…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, on the basis of Planck's radiation law and Wien's displacement law, the wavelength of infrared radiation peaks will shift toward a short waveband along with the increasing temperature, and the radiation energy in 3–5 µm particularly accounts for the most part of the whole infrared radiation energy at high temperature, whereas the emissivity in such wavelength range is mainly related to lattice vibration level and the transition of molecular rotational level 7 . Up to now, the research on high infrared radiation materials has mainly focused on chalcocite, spinel, cordierite, and magnetite systems 1,8 . Among them, the spinel‐structured ferrites with the formula of MFe 2 O 4 (M = Mn, Co, Zn, Ni, Cu, Mg, etc.)…”

Section: Introductionmentioning

confidence: 99%

Band gap and oxygen vacancy engineering of honeycomb‐like CuFe₂O₄ spinels toward enhanced high infrared emissivity

et al. 2023

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Recently, copper ferrites have acquired widespread attraction in high infrared radiation fields owing to their remarkable cost efficiency. However, to achieve broader applications under various operating conditions, it is essential to further improve the infrared emissivity, particularly at high temperatures. Herein, the Ni‐doped CuFe2O4 (NCFO) honeycomb‐like frameworks, which are constructed with single‐crystal nano‐subunits, are successfully fabricated via the scalable sol–gel avenue. The unique porous honeycomb framework endows NCFO with enhanced infrared absorption and relieves the stress between coatings and substrates meanwhile. With both band gap and oxygen vacancy (OV) engineering of CuFe2O4 itself via smart Ni doping, a maximum lattice strain, the richest OVs, and the narrowest band gap (∼1.63 eV) are simultaneously achieved for the CuFe2O4 with 15% Ni doping (denoted as CNFO‐15). Benefiting from the synergy of these external and intrinsic contributions, the CNFO‐15 possesses an ultrahigh infrared emissivity (∼0.975) in the wavelength range of 3–5 µm at a test temperature of 800°C. Moreover, the CNFO‐15‐based coating displays superior infrared radiation performance with outstanding high‐temperature resistance. More meaningfully, the constructive design here will provide a distinctive perspective for future large‐scale fabrication of advanced high‐infrared‐emissivity coatings.

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“…Compared with other materials analysis techniques, wood specific emissivity spectroscopy has the unique advantages of fast speed, simple sample preparation, and low source interference. Specific emissivity spectroscopy has been widely used in materials, thermal radiation, and photovoltaic power generation (Budaev and Bogy 2011;Gibelli et al 2017;Sako et al 2021). In addition, the thermal conductivity coefficient and thermal diffusion coefficient of wood are the pivotal parameters for basic research, analysis, and engineering design in the field of wood application (Adili et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Wood classification study based on thermal physical parameters with intelligent method of artificial neural networks

Cao

Zhou

Liu

et al. 2022

BioRes

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In this study, 65 kinds of wood samples were classified by using artificial neural networks based on the measured value of wood thermal physical parameters. First, the thermal conductivities and the thermal diffusion coefficients of the wood samples were measured. The transient temperature rise curve of wood samples during the test process was recorded, and the characteristic values of the transient temperature rise curve were extracted by logarithmic curve fitting. The emissivity spectrum representing the thermal physical properties of wood surface was measured, and the characteristic spectral data were selected according to the principal component analysis. An artificial neural network model was established based on the extracted feature values and characteristic spectral data to classify the wood species. The experimental results showed that the comprehensive correct classification rate of the proposed wood classification method was 99.85%. In addition, the proposed wood classification method was compared with a wood classification method based on laser induced breakdown spectrum and near infrared spectrum, which indicates the feasibility of wood classification based on the values of wood thermal physical properties.

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Emissivity of spinel and titanate structures aiming at the development of industrial high-temperature ceramic coatings

Cited by 18 publications

References 13 publications

Feasibility research of perovskite‐type PrAlO_3+δ as high‐temperature infrared radiation coating

Feasibility research of perovskite‐type PrAlO_3+δ as high‐temperature infrared radiation coating

Band gap and oxygen vacancy engineering of honeycomb‐like CuFe₂O₄ spinels toward enhanced high infrared emissivity

Wood classification study based on thermal physical parameters with intelligent method of artificial neural networks

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Emissivity of spinel and titanate structures aiming at the development of industrial high-temperature ceramic coatings

Cited by 18 publications

References 13 publications

Feasibility research of perovskite‐type PrAlO3+δ as high‐temperature infrared radiation coating

Feasibility research of perovskite‐type PrAlO3+δ as high‐temperature infrared radiation coating

Band gap and oxygen vacancy engineering of honeycomb‐like CuFe2O4 spinels toward enhanced high infrared emissivity

Wood classification study based on thermal physical parameters with intelligent method of artificial neural networks

Contact Info

Product

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Feasibility research of perovskite‐type PrAlO_3+δ as high‐temperature infrared radiation coating

Feasibility research of perovskite‐type PrAlO_3+δ as high‐temperature infrared radiation coating

Band gap and oxygen vacancy engineering of honeycomb‐like CuFe₂O₄ spinels toward enhanced high infrared emissivity