基于有限差分算法的铝纳米管与碳纳米管杂化互连的瞬态热分析

IF 2.2 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Nadir Youssef, Belahrach Hassan, Ghammaz Abdelilah, Naamane Aze-eddine, Radouani Mohammed
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引用次数: 0

摘要

从文献中可以看出,碳纳米管具有优异的热学和电学性能。然而,很少有研究人员对金属-碳纳米管复合材料的热行为进行研究。因此,本文研究了杂化铜、碳纳米管(Cu-CNTs)和铝碳纳米管复合材料(Al-CNTs)的瞬态热分析。此外,本文还引入了一种新的基于有限差分的热瞬态分析方法。用PSPICE和COMSOL的结果验证了该方法的准确性,得到了很好的一致性。将所提算法的性能与欧拉方法进行了比较,证明了其在精度和时间长度方面的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A transient thermal analysis applied on hybrid aluminum and carbon nanotubes interconnects using a new finite difference algorithm

It was seen from the literature that carbon nanotubes present excellent thermal and electrical properties. However, few researchers have treated the metal–carbon nanotubes composite thermal behavior. Thus, this article studies the transient thermal analysis of hybrid copper, carbon nanotubes (Cu-CNTs), and aluminum–carbon nanotubes composite (Al-CNTs). In addition, this study introduces a new finite difference-based method for thermal transient analysis. The accuracy of the proposed method has been checked with PSPICE and COMSOL results and has given a good agreement. The performance of the suggested algorithm was then compared with the Euler method and has demonstrated its superiority in terms of accuracy and time length.

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来源期刊
Journal of Computational Electronics
Journal of Computational Electronics ENGINEERING, ELECTRICAL & ELECTRONIC-PHYSICS, APPLIED
CiteScore
4.50
自引率
4.80%
发文量
142
审稿时长
>12 weeks
期刊介绍: he Journal of Computational Electronics brings together research on all aspects of modeling and simulation of modern electronics. This includes optical, electronic, mechanical, and quantum mechanical aspects, as well as research on the underlying mathematical algorithms and computational details. The related areas of energy conversion/storage and of molecular and biological systems, in which the thrust is on the charge transport, electronic, mechanical, and optical properties, are also covered. In particular, we encourage manuscripts dealing with device simulation; with optical and optoelectronic systems and photonics; with energy storage (e.g. batteries, fuel cells) and harvesting (e.g. photovoltaic), with simulation of circuits, VLSI layout, logic and architecture (based on, for example, CMOS devices, quantum-cellular automata, QBITs, or single-electron transistors); with electromagnetic simulations (such as microwave electronics and components); or with molecular and biological systems. However, in all these cases, the submitted manuscripts should explicitly address the electronic properties of the relevant systems, materials, or devices and/or present novel contributions to the physical models, computational strategies, or numerical algorithms.
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