Application of flash method in the measurements of interfacial thermal resistance in layered and particulate composite materials

Abstract

Presented study concerns the possibility of evaluation of interfacial thermal resistance (ITR) between the constituents in composite materials with the use of flash technique. Two variants of such measurement are considered, the first of which is the measurement of ITR between two bonded layers of different materials which had been studied before by various researchers. The second tested measurement method is targeted at determination of ITR in particulate composites with low and moderate filler content based on their effective thermal conductivity. Method of such measurement is proposed and tested on two cases of particle-filled polymer composites. Positive verification results were obtained for polymer/glass composite in which the difference between thermal conductivities of matrix and filler is low. For a polymer filled with aluminum particles the evaluation of average ITR in the samples was impossible as the effective medium models applied in the method strongly underestimated the thermal conductivity of that material. The investigation confirmed the need for more accurate methods of macroscopic thermal properties prediction for composite media with high contrast of thermal conductivities of the constituents. Extended literature study suggests that the method can be applicable to selected classes of engineering materials.

Size, Concentration and Content Effect of Copper/Graphite Hybrid Dopant on Mechanical, Thermal and Electrical Conductivity Characteristics of Unsaturated Polyester Resin

“…The Maxwell model gives the closest values to the experimental results. Meanwhile, both the theoretical and the experimental values indicate that λ increases with the filler concentration [1][2][3][10][11][12][13][14][15][16]. Generally, the experimental λ values are higher than that of the given theoretical models (see literature [1,10,11,13]).…”

“…The basis of many of them is the Maxwell model [1,[10][11][12][13][14][15][16]. The Hashin-Shtrikman [10] and the Lewis-Nielsen [1,2,[10][11][12][13][14][15][16][17] models are also investigated. For 3-phase system Lewis-Nielsen model has been extended as modified Lewis-Nielsen model and provides good convergence with the experimental hybrid systems [18][19][20].…”

Accurate determination of interfacial thermal resistance inside particle-laden composites based on high-throughput computation and machine learning

“…The direct experimental measurement of ITR were carried out by taking advantage of the techniques such as 3ω method [14], laser flash technique [15], time-domain thermos-reflectance (TDTR) [16], hot-wire technique [17], infrared imaging technique [18], laser-flash Raman mapping [19], and thermal bridge method [20]. 3ω method, laser flash technique, TDTR and hot-wire technique identify ITR by controlling the heating of the samples followed by analyzing the generated 'electrical-thermal' response, whereas infrared imaging technique only takes advantage of the thermal information for the identification of ITR.…”

Effective thermal conductivity of SrBi4Ti4O15-La0.7Sr0.3MnO3 oxide composite: Role of particle size and interface thermal resistance

“…However, the role of 𝑅 𝑖𝑛𝑡 on the 𝑘 was shown in few composites e.g. SiC-Al [20], diamond-ZnS [11], glass-epoxy [21], Bi 2 Se 3 -PVDF [22] etc. These studies suggest that 𝑅 𝑖𝑛𝑡 plays a vital role in designing the TE composite materials with desired 𝑘 ph values promising for TE applications.…”