Application of the laser induced phosphorescence method to the analysis of temperature distribution in heated and evaporating droplets; International Journal of Heat and Mass Transfer; Vol. 163

Detalles Bibliográficos
Parent link:International Journal of Heat and Mass Transfer
Vol. 163.— 2020.— [120421, 12 p.]
Corporate Authors: Национальный исследовательский Томский политехнический университет Инженерная школа энергетики Научно-образовательный центр И. Н. Бутакова (НОЦ И. Н. Бутакова), Национальный исследовательский Томский политехнический университет Исследовательская школа физики высокоэнергетических процессов
Outros autores: Strizhak P. A. Pavel Alexandrovich, Volkov R. S. Roman Sergeevich, Antonov D. V. Dmitry Vladimirovich, Castanet G. Guillaume, Sazhin S. S. Sergey Stepanovich
Summary:Title screen
Results of detailed analysis of temperature fields in droplets of four widely used liquids (water, kerosene, Diesel and gasoline (petroleum oil) fuels) are presented. Single droplets suspended on a wire were heated in a flow of hot air. The initial droplet radii were in the range 1 to 2 mm, air temperature was in the range 20⁰ C to 500⁰ C, air flow velocity was 3-3.5 m/s. The droplet temperature was measured based on Laser Induced Phosphorescence (LIP). BAM:Eu (BaMgAl₁₀O₁₇:Eu²⁺) microparticles were introduced into the droplets for the emission of a temperature-sensitive phosphorescent signal. Optical sectioning inside the droplet was performed using a thin laser sheet, while two cameras detected the phosphorescence signal in two spectral bands. A ratiometric approach using the pixel-to-pixel ratio of the images recorded by the two cameras allowed us to determine the local temperature within the heated and evaporating droplet. The range of applicability and the advantages/shortcomings of the method are established alongside the sources of errors. The experimentally observed droplet surface temperatures are compared with the predictions of the customised version of ANSYS Fluent with the Effective Thermal Conductivity (ETC) model implemented into it via User Defined Functions (UDF). It is shown that ANSYS Fluent can correctly predict the trend of the time evolution of these temperatures.
Режим доступа: по договору с организацией-держателем ресурса
Idioma:inglés
Publicado: 2020
Subjects:
Acceso en liña:https://doi.org/10.1016/j.ijheatmasstransfer.2020.120421
Formato: Electrónico Capítulo de libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=663442

MARC

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200 1 |a Application of the laser induced phosphorescence method to the analysis of temperature distribution in heated and evaporating droplets  |f P. A. Strizhak, R. S. Volkov, D. V. Antonov [et al.] 
203 |a Text  |c electronic 
300 |a Title screen 
320 |a [References: 43 tit.] 
330 |a Results of detailed analysis of temperature fields in droplets of four widely used liquids (water, kerosene, Diesel and gasoline (petroleum oil) fuels) are presented. Single droplets suspended on a wire were heated in a flow of hot air. The initial droplet radii were in the range 1 to 2 mm, air temperature was in the range 20⁰ C to 500⁰ C, air flow velocity was 3-3.5 m/s. The droplet temperature was measured based on Laser Induced Phosphorescence (LIP). BAM:Eu (BaMgAl₁₀O₁₇:Eu²⁺) microparticles were introduced into the droplets for the emission of a temperature-sensitive phosphorescent signal. Optical sectioning inside the droplet was performed using a thin laser sheet, while two cameras detected the phosphorescence signal in two spectral bands. A ratiometric approach using the pixel-to-pixel ratio of the images recorded by the two cameras allowed us to determine the local temperature within the heated and evaporating droplet. The range of applicability and the advantages/shortcomings of the method are established alongside the sources of errors. The experimentally observed droplet surface temperatures are compared with the predictions of the customised version of ANSYS Fluent with the Effective Thermal Conductivity (ETC) model implemented into it via User Defined Functions (UDF). It is shown that ANSYS Fluent can correctly predict the trend of the time evolution of these temperatures. 
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461 |t International Journal of Heat and Mass Transfer 
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610 1 |a phosphorous 
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610 1 |a lasers 
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610 1 |a mathematical models 
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701 1 |a Strizhak  |b P. A.  |c Specialist in the field of heat power energy  |c Doctor of Physical and Mathematical Sciences (DSc), Professor of Tomsk Polytechnic University (TPU)  |f 1985-  |g Pavel Alexandrovich  |3 (RuTPU)RU\TPU\pers\30871  |9 15117 
701 1 |a Volkov  |b R. S.  |c specialist in the field of power engineering  |c Associate Professor of the Tomsk Polytechnic University, candidate of technical Sciences  |f 1987-  |g Roman Sergeevich  |3 (RuTPU)RU\TPU\pers\33926  |9 17499 
701 1 |a Antonov  |b D. V.  |c specialist in the field of heat and power engineering  |c Associate Professor, Research Engineer at Tomsk Polytechnic University, Candidate of Physical and Mathematical Sciences  |f 1996-  |g Dmitry Vladimirovich  |3 (RuTPU)RU\TPU\pers\46666  |9 22322 
701 1 |a Castanet  |b G.  |g Guillaume 
701 1 |a Sazhin  |b S. S.  |c geophysicist  |c Leading researcher at Tomsk Polytechnic University, PhD in Physics and Mathematics  |f 1949-  |g Sergey Stepanovich  |9 88718 
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