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研究生: 陳威任
Chen, Wei-Jen
論文名稱: 以原子模擬探討並調控碳管材料的奈米熱傳行為
Investigating and Tuning Nanoscale Thermal Transport Behaviors of Carbon Nanotube Materials by Atomistic Simulation
指導教授: 張怡玲
Chang, I-Ling
學位類別: 博士
Doctor
系所名稱: 工學院 - 機械工程學系
Department of Mechanical Engineering
論文出版年: 2021
畢業學年度: 109
語文別: 英文
論文頁數: 158
中文關鍵詞: 分子模擬 、彈道型 、擴散型 、聲子 、分支型碳管 、熱傳
外文關鍵詞: molecular dynamics simulation, ballistic, diffusive, phonon, branched CNT, heat transfer
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  • 隨著元件的不斷微縮和新的應用發展,未來將面臨更嚴峻的熱管理挑戰,對於微米及奈米尺度的熱傳分析也變得越來越重要。由於奈米尺度下的聲子(phonon)平均自由徑(MFP),會接近系統特徵長度,傳統巨觀理論可能無法解釋奈米尺度的傳輸行為,因此對奈米熱傳行為的觀察與理論的建立是必要的。然而實驗量測在奈米尺度下可能會遭遇許多挑戰,分子動力學模擬(MD)可以提供一種解決方案,直接觀察原子或分子的運動行為,藉此計算奈米尺度下的熱傳導係數或是探討其熱傳行為。然而傳輸係數的計算和奈米熱傳行為的機制,在不同的文獻中仍然存在著差異,其中問題還有待釐清與克服。而本論文藉由平衡法分子動力學(EMD)模擬來計算傳輸係數,並利用非平衡分子動力學(NEMD)模擬,觀察與研究奈米尺度下聲子傳輸的機制。
    愛因斯坦(Einstein)公式和格林-庫波(Green-Kubo)公式是平衡法分子動力學中計算傳輸係數的兩個典型公式。愛因斯坦公式速度快,收斂性好,但其無法計算黏度(viscosity)和熱傳導係數(thermal conductivity)的缺點限制此公式的應用;格林-庫波公式可用於所有傳輸係數計算,但收斂性差是一個問題。這項工作提出使用原始格林-庫波 (Original Green-Kubo)公式,藉此結合愛因斯坦和格林-庫波公式的優點,計算所有傳輸係數,並且可以得到更好的收斂性和精確度結果。此公式已經在各種材料的傳輸係數計算,例如氬氣、苯、丁烷、鍺和碳納米管(CNT),證實其具有較好的收斂性和精確度。
      分支型碳納米管(branched CNTs)因其多方向熱傳輸能力和高導熱性,而成為未來熱管理應用中最吸引人的候選材料之一。然而很少有文獻研究其在穩定熱流下的傳輸行為。本研究使用非平衡分子動力學模擬,研究十字型碳管和T字型碳管的熱傳輸行為。分別研究應變、分支長度、分支接點的缺陷,以及溫度的影響。研究指出,儘管所有分支的手性和長度都相同,但在十字型分支碳管的熱流傾向流往兩側的碳管而不是直向的碳管。然而對於 T 字型分支碳管,無論分支間點的缺陷分佈如何,熱流都更容易傳遞到直向的碳管。隨著分支變長,所有分支中的熱流接近傳統巨觀的熱擴散理論。此外,這種具備方向性(directional)熱傳行為在低溫(50K)下會變得更加明顯,此現象表示此方向性熱傳的成因可能與彈道型(ballistic)聲子傳輸特性有關。

    關鍵字:分子模擬,彈道型, 擴散型,聲子,分支型碳管,熱傳

    With the miniaturization of devices and new applications, more severe thermal conditions pose huge challenges to thermal management; the understanding of thermal transport in micro-nanoscale structures and materials is becoming increasingly vital. The conventional macroscopic theory fails to explain the micro-nanoscale thermal transfer owing to a comparable or shorter characteristic length than the phonon mean free path (MFP); a sophisticated understanding of thermal transfer at the micro-nanoscale is necessary. Owing to the challenge of measurement in nanoscale heat conduction, molecular dynamics (MD) simulation can provide a solution to characterize atomic/molecular collective and individual behaviors of nanoscale transport. However, the transport coefficient calculation of MD and underlying mechanism of micro-nanoscale behavior still vary according to different studies. This thesis uses MD to reliably calculate the transport coefficient by equilibrium molecular dynamics (EMD) to avoid the failure of Fourier’s law and elucidate the mechanism of nanoscale phonon transfer by nonequilibrium molecular dynamics (NEMD) simulation to mimic experimental situation.
    The Einstein formula and Green-Kubo formula are two typical formulae used in transport coefficient calculation in EMD. The Einstein formula is faster and offers better convergence, but its application to viscosity and thermal conductivity calculation is limited; the Green-Kubo formula can be used on all transport coefficients, but the convergence issue is a problem. This work provides an original Green-Kubo (OGK) formula to combine the advantages of the Einstein and Green-Kubo formulae. Using OGK can achieve better convergence and accuracy results than the Green-Kubo formula for all transport coefficient calculations, and this is verified using various materials, such as argon, benzene, butane, germanium, and carbon nanotubes (CNTs).
    Branched CNTs are the most promising candidates for thermal management applications because of their multi-direction thermal transport capabilities and high thermal conductivity. However, few reports have examined the stable heat flow behavior inside branched CNTs. This work investigates the thermal transport behavior of CNTs with cross- and T-junctions using NEMD simulation. The effects of strain, branch length, topological defects at the junction, and temperature on the thermal flow are studied. It is found that the heat transferred in branched CNTs with cross-junctions tends to go sideways rather than straight, although all the branches are identical in chirality and length. However, the heat transfers more easily into the straight branch for the T-junction case irrespective of the atomic configuration at the junction. As the branch becomes longer, the heat current in all the branches approaches the conventional prediction based on diffusive thermal transport. Moreover, the directional thermal transport behaviors become more obvious at low temperature (50 K), suggesting that ballistic phonon transport makes an important contribution to directional thermal transport. Our findings provide significant insight into the thermal transport mechanisms of branched CNTs, which may be useful in thermal management applications.

    Keywords: molecular dynamics simulation, ballistic, diffusive, phonon, branched CNT, heat transfer

    Abstract i 摘 要 iii 誌 謝 v TABLE OF CONTENTS vii LIST OF TABLES x LIST OF FIGURES xi NOMENCLATURE xviii Chapter 1 Introduction 1 1.1 Background 1 1.2 Literature review 8 1.2.1 Methodology of transport coefficient calculation 8 1.2.2 Transport mechanism study 18 1.3 Objective 27 Chapter 2 Methodology 31 2.1 MD simulation 31 2.1.1 Force-field potential 31 2.1.2 Boundary conditions 33 2.1.3 Finite difference method 35 2.1.4 Ensemble average and time average 36 2.1.5 Transport coefficient calculation 38 2.2 Lattice dynamics simulation 41 2.3 Analysis methods 45 2.3.1 Density of states 45 2.3.2 Participation ratio 48 2.3.3 Normal mode coordinates 51 2.3.4 Phonon SED and relaxation time 52 2.3.5 Phonon correlation analysis 56 2.3.6 Spatial and temporal phonon correlation analysis 62 Chapter 3 Use EMD in transport coefficient calculation 71 3.1 Background 71 3.2 Simulation setup and procedures 72 3.3 Trial signal simulation 76 3.4 Results and discussion 79 3.5 Summary 90 Chapter 4 Use NEMD in transport behavior study of branched CNTs 91 4.1 Atomistic study of thermal transport of branched CNTs with T-junction 91 4.1.1 Background 91 4.1.2 Simulation setup and procedures 91 4.1.3 Results and discussion 97 4.1.4 Summary 107 4.2 Thermal transport study of branched CNTs with cross- and T-junctions 108 4.2.1 Background 108 4.2.2 Simulation setup and procedures 108 4.2.3 Results 116 4.2.4 Discussion 121 4.2.5 Summary 130 Chapter 5: Conclusion 133 5.1 Conclusion 133 5.2 Future works 136 Appendix 137 A Thermal conductivity of branched carbon nanotube 137 B Temperature and branched structures effects on heat transfer of branched CNTs 140 Reference 143

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