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Analysis of Thermal Conductivity Expressions of Binary Systems near Melting Point using Equilibrium Molecular Dynamics Simulation : 녹는점 부근의 2원계 물질에 대하여 평형 분자동역학 시뮬레이션에서의 열전도율 표현식에 대한 분석

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dc.contributor.advisorTakuji Oda-
dc.contributor.author류진호-
dc.date.accessioned2017-10-31T07:35:43Z-
dc.date.available2017-10-31T07:35:43Z-
dc.date.issued2017-08-
dc.identifier.other000000145228-
dc.identifier.urihttps://hdl.handle.net/10371/137374-
dc.description학위논문 (석사)-- 서울대학교 대학원 공과대학 에너지시스템공학부, 2017. 8. Takuji Oda.-
dc.description.abstractIn the field of nuclear engineering, one of the key parameter that governs the temperature of a component device of dielectric materials is the lattice thermal conductivity (TC). However, in the severe conditions of nuclear power plant (NPP) such as high radiation dose, high temperature and pressure, it is quite difficult task to measure or estimate the accurate value of TC of materials composing the devices of NPP during the operation. Therefore, approaches based on the theoretical calculation and simulations has been widely utilized for the estimation of TC under various circumstances.
Among those approaches, the Green-Kubo relations have been considered as a trustworthy method for evaluation of the TC of condensed matters in equilibrium molecular dynamics (MD) calculation. In previous studies adopting the Green-Kubo relations, however, there exist mainly three different expressions of TC, each of which considers a different microscopic phenomenon as the substance of thermal conduction. In the present study, focusing on binary systems, we investigate the theoretical background of the three TC expressions and differences among calculated TC values.
First of all, by deriving the TC expressions from the entropy production equation, we specified the assumptions and conditions employed in each TC expression. This procedure revealed the expression of the least approximation. In addition, three important material properties that affect the differences among the TC expressions are obtained: the Maxwell-Stefan (MS) diffusion coefficient, the partial specific enthalpy, and the reduced heat of transport. MD simulations of Li2O and TiO2 systems over a wide temperature range including crystal, amorphous and liquid phases show that when the MS diffusion coefficient exceeds around 10-7 cm2/s, one TC expression exhibits an abnormal value with up to 120% and 60% error compared to the least-approximate TC expression in Li2O and TiO2, respectively. Finally, simple method to predict the occurrence of the error based on the self-diffusion coefficient is suggested. This method contains the discussion about the possible advantages and disadvantages of the three TC expressions and about the conditions where a significant error may appear.
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dc.description.tableofcontents1.Introduction 1
1.1 Importance of the thermal conductivity 1
1.2 Methods to evaluate the thermal conductivity 2
1.2.1 Experimental methods 2
1.2.2 Computational methods 3
1.2.3 Objective and approaches of the thesis 3
2.Literature Review 5
2.1. EMD method for the TC evaluation 5
2.1.1 The Green-Kubo relation 5
2.2. Different TC expressions in EMD method 7
2.2.1 Criteria for the different TC expressions 7
2.2.1 First criterion number of terms in TC expression 8
2.2.2 Second criterion definition of the heat current 9
3.Theoretical Backgrounds 14
3.1 Entropy production for the irreversible processes 14
3.2 Trace of the origin of TC expressions 17
3.2.1 About the assumption of J1=0 17
3.2.2 Double terms expressions: k2 and k2* 18
3.2.3 Single terms expressions: k1 and k1* 22
3.3 Analysis of the difference between TC expressions 26
3.3.1 Partial specific enthalpy 27
3.3.2 Heat of transport 29
3.3.3 Maxwell-Stefan diffusion coefficient 30
3.3.4 Difference between TC expressions 32
3.3.4.1 Difference between k1 and k2 33
3.3.4.2 Difference Between k1* and k1 34
3.3.4.3 Interpretation of the physical meaning of the difference between TC expressions 37
4. MD simulation 39
4.1 Details of calculation settings 39
4.1.1 Potential model and Model system 38
4.1.2 Equilibration and production run of MD simulation 40
4.2 Diffusion coefficient calculation 42
4.2.1 Set up of MSD limit 42
4.2.2 Set up of GK limit 43
5.Results 46
5.1 Phases observed in the MD simulation 46
5.1.1 Li2O Model system 46
5.1.2 TiO2 Model system 52
5.2 Thermal conductivity 54
5.2.1 Li2O Model system 54
5.2.2 TiO2 Model system 56
5.2.3 The difference of partial specific enthalpy 59
5.2.4 The reduced heat of transport 61
6.Discussion 66
6.1 Temperature dependence of TC differences 66
6.1.1 Li2O Model system 66
6.1.2 TiO2 Model system 69
6.2 Comparison among PSE, Cross and PSE-Cross effects 71
6.3 Simple method to approximately evaluate the error in k1 73
6.4 Effect of pv term in the definition of delta_h_bar 75
7.Conclusion 78
Bibliography 80
국문초록 86
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dc.formatapplication/pdf-
dc.format.extent2047255 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 대학원-
dc.subjectThermal conductivity-
dc.subjectGreen-Kubo relations-
dc.subjectMolecular dynamics-
dc.subjectMaxwell-Stefan diffusion coefficient-
dc.subjectHeat of transport-
dc.subject.ddc622.33-
dc.titleAnalysis of Thermal Conductivity Expressions of Binary Systems near Melting Point using Equilibrium Molecular Dynamics Simulation-
dc.title.alternative녹는점 부근의 2원계 물질에 대하여 평형 분자동역학 시뮬레이션에서의 열전도율 표현식에 대한 분석-
dc.typeThesis-
dc.contributor.AlternativeAuthorJinho Ryu-
dc.description.degreeMaster-
dc.contributor.affiliation공과대학 에너지시스템공학부-
dc.date.awarded2017-08-
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