The study on the measurement accuracy of non-steady state temperature field under different emissivity using infrared thermal image

Shen, Jiuli; Zhang, Yucun; Xing, Tingting

doi:10.1016/j.infrared.2018.09.022

Cited by 39 publications

(9 citation statements)

References 9 publications

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“…Energies 2020, 13, x FOR PEER REVIEW 3 of 13 distribution characteristics of the condensate surface is beneficial to reveal the mechanism of Marangoni condensation and its heat transfer characteristics. In addition, the relevant studies [14][15][16][17][18][19][20][21][22][23][24] have fully verified the feasibility of using thermal infrared imagers to measure the surface temperature field of the condensate droplets, and its unique advantages can be fully utilized in Marangoni condensation. Thus, in this study, an experimental investigation was carried out to obtain the temperature distribution of the condensate surface during Marangoni condensation using a thermal infrared imager.…”

Section: Experimental Principle and Methodsmentioning

confidence: 99%

“…With unique advantages such as noncontact measurement, wide temperature range, and visualization of measurement results, the infrared thermal image technique could be applied to the measurement of temperature during the gas-liquid phase transition process [14]. Girard et al [15,16] used a thermal infrared imager to record the temperature distribution of the droplet interface during the evaporation process, and the results were validated with optical measurements.…”

Section: Introductionmentioning

confidence: 99%

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Surface Temperature Distribution Characteristics of Marangoni Condensation for Ethanol–Water Mixture Vapor Based on Thermal Infrared Images

Zhang

et al. 2020

Energies

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Marangoni condensation is formed due to the surface tension gradient caused by the local temperature or concentration gradient on the condensate surface; thus, the investigation of the surface temperature distribution characteristics is crucial to reveal the condensation mechanism and heat transfer characteristics. Few studies have been conducted on the temperature distribution of the condensate surface. In this study, thermal infrared images were used to measure the temperature distributions of the condensate surface during Marangoni condensation for ethanol–water mixture vapor. The results showed that the surface temperature distribution of the single droplet was uneven, and a large temperature gradient, approximately 15.6 °C/mm, existed at the edge of the condensate droplets. The maximum temperature difference on the droplet surface reached up to 8 °C. During the condensation process, the average surface temperature of a single droplet firstly increased rapidly and then slowly until it approached a certain temperature, whereas that of the condensate surface increased rapidly at the beginning and then changed periodically in a cosine-like curve. The present results will be used to obtain local heat flux and heat transfer coefficients on the condensing surface, and to further establish the relationship between heat transfer and temperature distribution characteristics.

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Section: Experimental Principle and Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Surface Temperature Distribution Characteristics of Marangoni Condensation for Ethanol–Water Mixture Vapor Based on Thermal Infrared Images

Zhang

et al. 2020

Energies

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“…The true temperature of the measured object tested is an important task in many disciplines, especially critical and difficult for the non-contact measurement. However, infrared temperature measurement accuracy of the measured object is difficult to reach a satisfactory level, and cannot meet high accuracy use requirements, due to the emissivity cannot be determined in outdoor environments [4][5], which lead to the limitations on the application of infrared thermal imaging technology [6][7]. Meanwhile, the emissivity of the measured object has a very close relationship with the true temperature of the measured object.…”

Section: Introductionmentioning

confidence: 99%

Study of the Test Methods of Emission Rates in Different Ambient Temperature Fields

Zhao

Jia

Pei

et al. 2022

J. Phys.: Conf. Ser.

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With the wide application and rapid development of infrared temperature measurement, which has attracted wide spread interest in the field of non-contact temperature measurement due to its unique advantages. Measurement of the real temperature of the measured object is an important task in many disciplines, especially critical and difficult for the non-contact measurement. However, the accuracy of the infrared thermography technique is difficult to reach a satisfactory level, and cannot meet the requirements of high accuracy, due to the emissivity cannot be determined in outdoor environments. It is very meaningful to determinate the emissivity and accurate temperature of the object in outdoor heterogeneous environments. The influence of external environmental factors on the object surface emissivity are analyzed in this study, which is very important to improve the measurement accuracy of the infrared thermal imaging instrument. This study reveals that the increased temperature will lead in the increase of the emissivity of nonmetallic materials first and then decreases slowly. In addition, as the ambient temperature higher, the emission rate of non-metallic object becomes smaller.

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“…According to the number of object space coordinates, there are one‐dimensional, two‐dimensional, and three‐dimensional steady‐state temperature fields [16], [17]. The other is the “non‐steady‐state temperature field” [18], which refers to a temperature field that changes continuously over time. According to the number of object space coordinates, there are one‐dimensional, two‐dimensional, and three‐dimensional unsteady temperature fields.…”

Section: Introductionmentioning

confidence: 99%

“…Shen et al. [18] analyzed the influence of the object surface emissivity on the measurement accuracy of infrared thermal image according to the formula of infrared temperature measurement and the factors affecting the emissivity of the object were found. Wang et al.…”

Section: Introductionmentioning

confidence: 99%

Investigation on Temperature Uniformity in a Gas‐liquid Two‐phase Mixing System Stirred by Top‐blown Air^▴

Yang

Wang

et al. 2020

Fuel Cells

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The purpose of this study is to introduce a new method for quantifying the uniformity of temperature fields. A top‐blown gas‐stirring gas‐liquid two‐phase mixing test bench was set up, combined with an infrared imager, to obtain the temperature distribution of the gas‐liquid two‐phase mixing process. Gas‐liquid two‐phase energy conversion occurs during the physical reaction. The top‐blown gas is in direct contact with liquids of different temperatures to take away some of the heat, causing a difference in the internal temperature distribution of the liquid. The gas is air and the liquid is synthetic heat transfer oil. Using image segmentation and mathematical analogy of local discrepancy functions, the temperature distribution difference and temperature field non‐uniformity coefficient (NUC) of the rectangular region in the actual temperature field are obtained. By calculating the standard deviation of the non‐uniformity coefficient of the temperature field in each working condition, the fluctuation of the uniformity of the temperature field with time is obtained.

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The study on the measurement accuracy of non-steady state temperature field under different emissivity using infrared thermal image

Cited by 39 publications

References 9 publications

Surface Temperature Distribution Characteristics of Marangoni Condensation for Ethanol–Water Mixture Vapor Based on Thermal Infrared Images

Surface Temperature Distribution Characteristics of Marangoni Condensation for Ethanol–Water Mixture Vapor Based on Thermal Infrared Images

Study of the Test Methods of Emission Rates in Different Ambient Temperature Fields

Investigation on Temperature Uniformity in a Gas‐liquid Two‐phase Mixing System Stirred by Top‐blown Air^▴

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The study on the measurement accuracy of non-steady state temperature field under different emissivity using infrared thermal image

Cited by 39 publications

References 9 publications

Surface Temperature Distribution Characteristics of Marangoni Condensation for Ethanol–Water Mixture Vapor Based on Thermal Infrared Images

Surface Temperature Distribution Characteristics of Marangoni Condensation for Ethanol–Water Mixture Vapor Based on Thermal Infrared Images

Study of the Test Methods of Emission Rates in Different Ambient Temperature Fields

Investigation on Temperature Uniformity in a Gas‐liquid Two‐phase Mixing System Stirred by Top‐blown Air▴

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Product

Resources

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Investigation on Temperature Uniformity in a Gas‐liquid Two‐phase Mixing System Stirred by Top‐blown Air^▴