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A hybrid phonon Monte Carlo-diffusion method for ballistic-diffusive heat conduction in nano- and micro- structures

机译:纳米结构和微观结构中弹道扩散热传导的混合声子蒙特卡罗扩散法

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The existing phonon Monte Carlo (MC) for ballistic-diffusive heat conduction are limited to small and simple structures owing to the huge time cost following with the increasing scale. This article presents a new hybrid phonon Monte Carlo-diffusion method for ballistic-diffusive heat conduction, which successfully characterizes the ballistic effect with significantly reducing the computational cost. Based on the idea that the phonon-boundary scattering mainly affects the regions adjacent to the boundaries when the system is considerably large, the whole system is divided into three zones: the boundary MC zone and the middle diffusion zone, between which is the overlap zone. By using an alternating method and setting virtual phonon bath or specular reflection as the boundary condition for the MC zones, the results of the phonon tracing MC and diffusion equation can be coupled and converge at the overlap zone. To verify, the cross-plane and in-plane film heat conduction, where slip boundary conditions are the major characteristics of the ballistic-diffusive regime, are simulated by the hybrid method as well as standard phonon tracing MC which works as a benchmark. It is found that the hybrid method can accurately predict the distributions of temperature and heat flux in the system with nearly the same precision as the phonon tracing MC while the computation time can reduce up to 90%, validating its potential use for larger and more complex structures. (C) 2018 Elsevier Ltd. All rights reserved.
机译:现有的声子扩散热传导声子蒙特卡罗(MC)由于体积小,成本高,规模大而被限制在小而简单的结构中。本文提出了一种用于弹道扩散热传导的混合声子蒙特卡洛扩散新方法,该方法成功地表征了弹道效应并显着降低了计算成本。基于当系统很大时声子边界散射主要影响边界附近区域的思想,整个系统被划分为三个区域:边界MC区域和中间扩散区域,它们之间是重叠区域。通过使用一种交替方法并将虚拟声子浴或镜面反射设置为MC区域的边界条件,可以耦合声子跟踪MC和扩散方程,并将其收敛在重叠区域。为了验证这一点,通过混合方法以及以标准声子跟踪MC为基准,模拟了滑移边界条件是弹道扩散状态的主要特征的跨平面和平面内薄膜的热传导。结果发现,该混合方法可以准确地预测系统中温度和热通量的分布,精度几乎与声子跟踪MC相同,而计算时间最多可以减少90%,从而验证了其在更大,更复杂的系统中的潜在用途。结构。 (C)2018 Elsevier Ltd.保留所有权利。

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