Thermal barrier effect from internal pore channels on thickened aluminum nanofilm

Qiu, Lin; Ouyang, Yuxin; Feng, Yanhui; Zhang, Xinxin; Wang, Xiaotian; Wu, Jin

doi:10.1016/j.ijthermalsci.2020.106781

Cited by 18 publications

(6 citation statements)

References 21 publications

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“…PpPD, PSDA, and PpPD/PSDA composites are well dissolved or dispersed in DMSO and DMF. The parameters [35] used when examining the thermoelectric The FT-IR spectra of polymers were given in Figure 1. The peaks between 3200 and 3020 cm À1 observed in the PpPD polymer have been suggested for N-H stretching vibrations.…”

Section: Resultsmentioning

confidence: 99%

Synthesis, characterization, and thermoelectric properties of poly(p‐phenylenediamine)/poly(sulfonic acid diphenyl aniline) composites

Hüner

2022

Polymer Engineering & Sci

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Thermoelectric materials are of great importance as they are materials that can convert even a small waste heat in the environment into electrical energy. Today, interest in polymeric thermoelectric materials, which are low in cost, abundant in raw materials, and easy to process, has increased. In this study, PpPD, PSDA, and PpPD/PSDA composites were synthesized in aqueous medium by a simple method by chemical oxidative polymerization. The thermoelectric properties of the polymers were investigated and the PSDA ratio in the composite increased from 10% to 50%, while the Seebeck coefficient increased approximately 5 times from 70 μV/K to 340 μV/K. The highest Seebeck coefficient and power factor were obtained from PpPD/PSDA3 composite as 340 μV/K and 3.5 × 10−3 μW/mK2, respectively. It was observed that PpPD/PSDA composites had better thermoelectric properties and thermal stability than PpPD and PSDA.

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Section: Resultsmentioning

confidence: 99%

Synthesis, characterization, and thermoelectric properties of poly(p‐phenylenediamine)/poly(sulfonic acid diphenyl aniline) composites

Hüner

2022

Polymer Engineering & Sci

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“…In addition, the 3ω method is used to measure the thermal properties of building materials [23][24]. The thermal conductivity coe cients of the samples will be used to determine the optimum insulation thickness.…”

Section: Methodsmentioning

confidence: 99%

“…x y k y [4] Here x y is the thickness of the insulation material and k y is its thermal conductivity. The total heat transfer coe cient, where R wt is the total thermal resistance of the wall excluding the insulation material, is as follows [20][21][22][23][24][25][26].…”

Section: R Y =mentioning

confidence: 99%

Comparison of Different Insulation Materials with Thermal Conductivity Coefficients Based on Density and Temperature for Two Climate Zones

Kan

2022

Int J Thermophys

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The selection of the insulation material and the determination of the optimum insulation thickness are very important in terms of energy saving and providing thermal comfort conditions. There are many studies in the literature to determine the optimum insulation thickness. In these studies, the thermal conductivity coe cient (k) of the insulation material is taken directly from the standardized tables and the optimum insulation thickness calculation is made. In real applications, the k value of the insulation material varies depending on the production conditions, density and temperature. For this reason, the density of the insulation material and the operating temperature should be taken into account in determining the optimum insulation thickness. In this study, Expanded Polystyrene (EPS), Extrude Polystyrene (XPS), glass wool and rock wool with different densities were used as insulation materials, coal and natural gas were used as fuel. A comparison was made for the provinces of Konya and Sivas, which are in the 3rd and 4th climate zones in Turkey, using the degree-day method depending on energy costs, and the insulation thicknesses were determined as a function of density and temperature. As a result of the calculations for the k, value of the insulating material for the province of Konya, which is in the 3rd climate zone, the optimum insulation thickness was established as 0,076 m for EPS with a density of 30 kg/m 3 , 0,037 m for XPS with a density of 30 kg/m 3 , 0,082 m for glass wool with a density of 100 kg/m 3 , 0,051 m for rock wool with a density of 150 kg/m 3 . Likewise, when coal is used as fuel, the optimum insulation thicknesses for EPS, XPS, glass wool and rock wool are 0,092, 0,061, 0,104, 0,078 respectively. As a result of the calculations for the k, value of the insulating material for the province of Sivas, which is in the 4th climate zone, the optimum insulation thickness was established as 0,086 m for EPS with a density of 30 kg/m 3 , 0,044 m for XPS with a density of 30 kg/m 3 , 0,092 m for glass wool with a density of 100 kg/m 3 , 0,058 m for rock wool with a density of 150 kg/m 3 . Likewise, when coal is used as fuel, the optimum insulation thicknesses for EPS, XPS, glass wool and rock wool are 0,098, 0,069, 0,106, 0,081 respectively. When the insulation materials are compared, although the unit price of XPS material is higher, its optimum thickness is lower than other insulation materials for all situations due to its low thermal conductivity.

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“…According to Cahill’s hypothesis [ 13 ], if the heat penetration depth is larger than five times the half-width of the pattern, the simplified formula is valid, which is called the slope 3

method. Based on Borca’s analytical solution for the average temperature rise of the sensor [ 15 ], we only retain the first term of the infinite series from the expansion of Borca’s equation, which provides:

where

is the amplitude of the AC heating power per unit length of patterns; i is the imaginary component;

is the heating frequency; C is the volume of heat capacity; b is the half-width of the patterns;

is a constant; and

, and

are the thermal conductivity in the

, and

directions, respectively. Note that the above equations have exactly the same form as Mishra’s solution [ 16 ] when

= 0.…”

Section: Experimental Methodsmentioning

confidence: 99%

Freestanding Flexible Sensor Based on 3ω Technique for Anisotropic Thermal Conductivity Measurement of Potassium Dihydrogen Phosphate Crystal

Qiu

Ouyang

et al. 2021

Sensors

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A new freestanding sensor-based 3ω technique is presented here, which remarkably expands the application of traditional 3ω technology to anisotropic materials. The freestanding flexible sensor was fabricated using the mature flexible printed circuit production technique, which is non-destructive to the samples and applicable to porous surfaces. The thermal conductivities of potassium dihydrogen phosphate (KDP) crystal along the (100), (010) and (001) crystallographic planes were measured based on this new sensor at room temperature. We found that the freestanding flexible sensor has considerable application value for thermal properties’ characterization for crystals with anisotropic thermophysical properties and other structures for which the traditional 3ω technique is not applicable.

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Thermal barrier effect from internal pore channels on thickened aluminum nanofilm

Cited by 18 publications

References 21 publications

Synthesis, characterization, and thermoelectric properties of poly(p‐phenylenediamine)/poly(sulfonic acid diphenyl aniline) composites

Synthesis, characterization, and thermoelectric properties of poly(p‐phenylenediamine)/poly(sulfonic acid diphenyl aniline) composites

Comparison of Different Insulation Materials with Thermal Conductivity Coefficients Based on Density and Temperature for Two Climate Zones

Freestanding Flexible Sensor Based on 3ω Technique for Anisotropic Thermal Conductivity Measurement of Potassium Dihydrogen Phosphate Crystal

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