Research progress in interface modification and thermal conduction behavior of diamond/metal composites

2022 ◽  
Vol 29 (2) ◽  
pp. 200-211
Author(s):  
Ping Zhu ◽  
Pingping Wang ◽  
Puzhen Shao ◽  
Xiu Lin ◽  
Ziyang Xiu ◽  
...  
Energy ◽  
2021 ◽  
Vol 222 ◽  
pp. 119940
Author(s):  
Qiang Li ◽  
Qian Wang ◽  
Jiansheng Zhang ◽  
Weiliang Wang ◽  
Jizhen Liu

1994 ◽  
Vol 75 (8) ◽  
pp. 3765-3768 ◽  
Author(s):  
Dean‐Mo Liu ◽  
Chien‐Jen Chen ◽  
Li‐Jiaun Lin

2017 ◽  
Vol 726 ◽  
pp. 153-158
Author(s):  
Ai Bing Du ◽  
Zhi Xue Qu ◽  
Xi Ping Su ◽  
Xiao Xiao

The thermal conduction behavior of the neutron absorbing ceramic boron carbide in the initial stage of the irradiation was analyzed and a classical thermal conduction model was used to estimate the variation of the thermal conductivity in this paper. The calculated thermal conductivity using the model shows a large degration in the initial stage of irradiation. As the burnup increases, the thermal conductivity turns to be free of temperature dependence. These calculated results are consistent well with the expermental data of thermal conductivity of the irradiated boron carbide, which may suggest that the variation of the thermal conductivity of boron carbide is predominantly determined by the point defects scattering in the initial stage of irradiation.


Author(s):  
Vikas Samvedi ◽  
Vikas Tomar

Studies on nanocomposites have proven them to be a promising option for various applications based on their excellent thermal and mechanical properties, especially at high temperatures. Such materials consist of heterogeneities in the form of interfaces, grain boundaries, triple junctions, and second phase dispersion. It is, therefore, important to understand the effect of heat transfer across a nanocomposite interface on its thermal conduction behavior. Analyses need to take into account possible phase changes as a function of changes in temperature and thermal stress levels. In the present research, atomistic analyses of thermal conduction across a nanocomposite interface are performed using quantum simulations based on plane-wave basis sets combined with the density function theory (DFT). Analyses of the effect of straining on the nanocomposite property changes are performed to study it as a promising means to obtain nanocomposites with tailored properties.


Author(s):  
Jacob Eapen

The initial promise of nanofluids as an advanced, nanoengineered coolant has been tempered in the recent years by a conspicuous lack of consensus on its thermal conduction mechanism. Several new mechanisms have been hypothesized in the recent years to characterize the thermal conduction behavior in nanofluids. In this presentation, we show that a large set of nanofluid thermal conductivity data is enveloped by the well-known Hashin and Shtrikman (H-S) mean-field bounds for inhomogeneous systems. The thermal conductivity in nanofluids, therefore, is largely dependent on whether the nanoparticles stays dispersed in the base fluid, form linear chain-like configurations, or assume an intermediate configuration. The experimental data, which is strikingly analogous to those in most solid composites and liquid mixtures, provides a strong evidence for the classical nature of thermal conduction in nanofluids.


2021 ◽  
Vol 41 (8) ◽  
pp. 4447-4451
Author(s):  
Ke Chen ◽  
Xiaojing Bai ◽  
Xulin Mu ◽  
Pengfei Yan ◽  
Nianxiang Qiu ◽  
...  

2019 ◽  
Vol 227 (1) ◽  
pp. 64-82 ◽  
Author(s):  
Martin Voracek ◽  
Michael Kossmeier ◽  
Ulrich S. Tran

Abstract. Which data to analyze, and how, are fundamental questions of all empirical research. As there are always numerous flexibilities in data-analytic decisions (a “garden of forking paths”), this poses perennial problems to all empirical research. Specification-curve analysis and multiverse analysis have recently been proposed as solutions to these issues. Building on the structural analogies between primary data analysis and meta-analysis, we transform and adapt these approaches to the meta-analytic level, in tandem with combinatorial meta-analysis. We explain the rationale of this idea, suggest descriptive and inferential statistical procedures, as well as graphical displays, provide code for meta-analytic practitioners to generate and use these, and present a fully worked real example from digit ratio (2D:4D) research, totaling 1,592 meta-analytic specifications. Specification-curve and multiverse meta-analysis holds promise to resolve conflicting meta-analyses, contested evidence, controversial empirical literatures, and polarized research, and to mitigate the associated detrimental effects of these phenomena on research progress.


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