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Multiphase Flow and Heat Transfer in Pebble Bed Reactor Core 2021 ed. [Kietas viršelis]

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  • Formatas: Hardback, 500 pages, aukštis x plotis: 235x155 mm, weight: 934 g, 290 Illustrations, color; 38 Illustrations, black and white; XVI, 500 p. 328 illus., 290 illus. in color., 1 Hardback
  • Išleidimo metai: 20-Nov-2020
  • Leidėjas: Springer Verlag, Singapore
  • ISBN-10: 981159564X
  • ISBN-13: 9789811595646
Kitos knygos pagal šią temą:
Multiphase Flow and Heat Transfer in Pebble Bed Reactor Core 2021 ed.Didesnis paveikslėlis
  • Formatas: Hardback, 500 pages, aukštis x plotis: 235x155 mm, weight: 934 g, 290 Illustrations, color; 38 Illustrations, black and white; XVI, 500 p. 328 illus., 290 illus. in color., 1 Hardback
  • Išleidimo metai: 20-Nov-2020
  • Leidėjas: Springer Verlag, Singapore
  • ISBN-10: 981159564X
  • ISBN-13: 9789811595646
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9789811595646.html
This book introduces readers to gas flows and heat transfer in pebble bed reactor cores. It addresses fundamental issues regarding experimental and modeling methods for complex multiphase systems, as well as relevant applications and recent research advances. The numerical methods and experimental measurements/techniques used to solve pebble flows, as well as the content on radiation modeling for high-temperature pebble beds, will be of particular interest. This book is intended for a broad readership, including researchers and practitioners, and is sure to become a key reference resource for students and professionals alike. 
1 Introduction
1(42)
1.1 High-Temperature Gas-Cooled Reactor (HTGR)
1(1)
1.1.1 Classification and Brief History
1(1)
1.1.2 Main Features and Advantages
2(1)
1.2 Pebble Bed Type HTGR in Tsinghua University
2(4)
1.2.1 Competative Technical Routes
5(1)
1.2.2 Heat Transfer Investigations
5(1)
1.3 Pebble Flows
6(13)
1.3.1 Discharging/recirculating Granular Flow
6(1)
1.3.2 Very Slow Pebble Flow in HTGR
7(1)
1.3.3 Pebble Flow Intermittency
8(3)
1.3.4 Importance of Flow Uniformity
11(1)
1.3.5 Optimization of Pebble Flow Design
12(1)
1.3.6 Review of State-of-the-Art Work
13(6)
1.4 Pebble Bed Heat Transfer
19(8)
1.4.1 Gas-Pebble Heat Transfer
21(1)
1.4.2 Pebble Thermal Radiation
22(3)
1.4.3 Effective Thermal Diffusivity and Conductivity
25(2)
1.5 Summary
27(16)
References
27(16)
2 Experiments in Pebble Flows
43(78)
2.1 Experimental Test Facility
43(2)
2.2 Phenomenological Methods
45(10)
2.2.1 Drainage Pebble Experiment
46(1)
2.2.2 Central Area Method
46(4)
2.2.3 Side Area Method
50(1)
2.2.4 Pre-filled Stripes Method
50(3)
2.2.5 Pre-filled Core Method
53(2)
2.3 Pebble Flow in Two-Region Beds
55(6)
2.3.1 Formation of Two-Region Arrangements
55(1)
2.3.2 Mixing Zone and Stagnant Zone
56(2)
2.3.3 Motion of Pebbles
58(2)
2.3.4 Equilibrium Conditions and Flow Characteristics
60(1)
2.4 Pebble Flow Mechanism Analysis
61(7)
2.4.1 Quasi-Static Pebble Flow
61(1)
2.4.2 Distribution of Contact Force
62(2)
2.4.3 Basic Physics of Quasi-Static Flow
64(3)
2.4.4 Short Summary
67(1)
2.5 Particle Velocimetry Measurements
68(46)
2.5.1 Measurement Techniques
68(1)
2.5.2 Image Processing
69(1)
2.5.3 Flow Correlation and Intermittency
69(27)
2.5.4 Pebble Arch Formation
96(18)
2.6 Summary
114(7)
References
116(5)
3 Experiments in Pebble Bed Heat Transfer
121(40)
3.1 Introduction
121(1)
3.2 Experimental Facility and Methodology
121(15)
3.2.1 Configuration of Heat Test Facility
121(2)
3.2.2 Data Processing Algorithm
123(9)
3.2.3 Preliminary Tests in Vacuum
132(3)
3.2.4 Short Summary
135(1)
3.3 Effective Thermal Diffusivity and Conductivity
136(20)
3.3.1 Experimental Processes
137(1)
3.3.2 Methodology Description
137(5)
3.3.3 Quadratic Polynomial Function Results
142(3)
3.3.4 Improved Method to Reduce Errors
145(5)
3.3.5 Uncertainty Analysis
150(5)
3.3.6 Short Summary
155(1)
3.4 Summary
156(5)
References
157(4)
4 Numerical Methods and Simulation for Pebble Flows
161(76)
4.1 Discrete Element Methods
161(1)
4.2 Gravity-Driven Flow Regime Characterization
162(41)
4.2.1 Flow Behavior Characteristics
164(6)
4.2.2 Kinetic Versus Kinematic
170(6)
4.2.3 Energy Span Versus Standard Deviation
176(12)
4.2.4 Recirculation Rates and Times
188(15)
4.3 Three-Dimensional Pebble Flow
203(26)
4.3.1 Voidage Distributions in HTR-10
203(14)
4.3.2 3D Pebble Flow in HTR-PM
217(12)
4.4 Summary
229(8)
References
232(5)
5 Numerical Models for Pebble-Bed Heat Transfer
237(164)
5.1 Introduction
237(1)
5.2 Continuum Modeling of Pebble Radiation
237(23)
5.2.1 Uniform Effective Thermal Conductivity (uETC)
238(6)
5.2.2 Approximation Function Method
244(16)
5.2.3 Short Summary
260(1)
5.3 Discrete Modeling of Pebble Radiation
260(48)
5.3.1 Voronoi Cells and Cutoff Scales
260(2)
5.3.2 Short-Range Radiation Model (SRM)
262(3)
5.3.3 Short-Range Radiation Model Plus (SRM+)
265(1)
5.3.4 Long-Range Radiation Model (LRM)
266(1)
5.3.5 Microscopic Scale Model (MSM)
267(3)
5.3.6 Overall Effective Thermal Conductivity at ks ~ kr
270(2)
5.3.7 Semi-Empirical Radiation Model (SEM)
272(1)
5.3.8 Sub-Cell Radiation Model (SCM)
273(9)
5.3.9 Application of SCM for Pebble Beds
282(10)
5.3.10 Application of SCM for Clumped-Pebbles
292(13)
5.3.11 Short Summary
305(3)
5.4 CFD-DEM Coupled Simulation and Development
308(38)
5.4.1 Governing Equations
310(1)
5.4.2 Heat Transfer Modeling
311(11)
5.4.3 Smoothed Void Fraction Method
322(11)
5.4.4 Benchmark Problem of HTR-10 Reactor
333(11)
5.4.5 Short Summary
344(2)
5.5 Further Issues
346(42)
5.5.1 Evaluation of Emissivity Effects in Four Radiation Models
346(14)
5.5.2 Mechanism of Contact Thermal Resistance
360(10)
5.5.3 Efficient Computing of View Factor
370(17)
5.5.4 Short Summary
387(1)
5.6 Summary
388(13)
References
392(9)
6 Applications: Two-Region Pebble Beds
401(42)
6.1 Experimental Measurements
401(7)
6.1.1 The Size of the Two Regions
403(1)
6.1.2 Equilibrium Conditions
404(1)
6.1.3 Flow Field in the Vessel
405(3)
6.2 Size Effects
408(16)
6.2.1 Numerical Setup
408(2)
6.2.2 Transient Phenomenological Analysis
410(3)
6.2.3 Shape and Size of Mixing Region
413(3)
6.2.4 Mixing Index
416(6)
6.2.5 Effect of Particle Size on Stagnant Region
422(1)
6.2.6 Short Summary
423(1)
6.3 Density Difference and Loading Ratio Effects
424(15)
6.3.1 Simulation Setup
424(3)
6.3.2 Results and Discussion
427(4)
6.3.3 The Size of Central Region
431(1)
6.3.4 Stagnant Condition
432(3)
6.3.5 Retention of Initial Loading Pebbles
435(2)
6.3.6 Axial Velocity
437(1)
6.3.7 Short Summary
438(1)
6.4 Summary
439(4)
References
441(2)
7 Applications: Pebble Flow Optimizations
443
7.1 Introduction
443(1)
7.2 Wall Structure Optimization
443(11)
7.2.1 Numerical Methods and Setup
444(2)
7.2.2 Wall Structure Effect
446(3)
7.2.3 Stagnant Rate
449(2)
7.2.4 Mean Kinematic Energy and Eulerian Velocity
451(2)
7.2.5 Extra Dispersion Effect
453(1)
7.3 Flow-Corrective Insert Optimization
454(15)
7.3.1 Numerical Setup
454(2)
7.3.2 Pebble Bed Without Insert
456(3)
7.3.3 Insert Effect
459(3)
7.3.4 Some Discussions
462(3)
7.3.5 Insert Design
465(4)
7.4 Conical Base Optimization
469(11)
7.4.1 Simulation Setup and Bed Configuration
471(2)
7.4.2 Simulation Results and Discussions
473(7)
7.5 Friction Optimization
480(17)
7.5.1 Numerical Setup
481(1)
7.5.2 Particle-Wall Friction
482(5)
7.5.3 Particle-Particle Friction
487(2)
7.5.4 Criteria for Flow Pattern Evaluation
489(5)
7.5.5 Friction Control in Practical Pebble Bed
494(1)
7.5.6 Application in Full-Scale Pebble-Bed Reactor
495(2)
7.6 Summary
497
References
499
Shengyao Jiang is a Full Professor and Director of the Key Laboratory of Advanced Reactor Engineering and Safety at Tsinghua University. He is also the Vice Chairman of the University Council and Vice Chairman of the Multiphase Flow Committee, Chinese Society of Engineering Thermophysics. He obtained his doctorate from Stuttgart University, Germany, in 1995. Prof. Jiang has received seven Scientific & Technological Awards from the Ministry of Education, former National Defense Science and Industry Commission, and China Nuclear Industry Group Corporation. He has published over 300 papers, supported by the National Science Foundation for Outstanding Youth Project. He is one of the EICs of Experimental and Computational Multiphase Flow.  Jiyuan Tu is a Professor at the School of Engineering, RMIT University, and a China National 1000 Top-Talent Program Distinguished Professor at Tsinghua University. He obtained his doctorate in computational fluid dynamics from the Royal Institute of Technology, Sweden, in 1992. His research interests include subcooled flow boiling; spray cooling; biomedical engineering; fluidstructure interaction; aerosol deposition in human airways and nasal cavities; and blood flow in arteries. Prof. Tu has published 10 books and over 500 papers, with over 6000 total citations.  Xingtua Yang is a Full Professor at the Institute of Nuclear and New Energy Technology (INET), Tsinghua University, and Director of INETs Thermal Hydraulics Division. Holding a doctorate from Tsinghua University, he has published over 200 papers and is especially known for his contributions to experimental and computational research in nuclear engineering.  Nan Gui is a Professor at the Thermal Hydraulics Division, Institute of Nuclear and New Energy Technology (INET), Tsinghua University. Having completed his doctorate at Zhejiang University in 2010, his research interests include reactor thermal hydraulics, pebble bed flows and heat transfer; computational multiphase flows, e.g., fluidized beds, swirling flows, jet flows, etc.; and particle flow/granular flows, e.g., drum mixers, gravity-driven flows, mixing and heat conduction, etc. He has published over 70 SCI-indexed papers and received Chinas 100 National Excellent Doctoral Dissertations Award.