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Introduction to Computational Mass Transfer: With Applications to Chemical Engineering 2nd ed. 2017 [Kõva köide]

  • Formaat: Hardback, 417 pages, kõrgus x laius: 235x155 mm, kaal: 7686 g, 83 Illustrations, color; 200 Illustrations, black and white; XII, 417 p. 283 illus., 83 illus. in color. With online files/update., 1 Hardback
  • Sari: Heat and Mass Transfer
  • Ilmumisaeg: 05-Oct-2016
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9811024979
  • ISBN-13: 9789811024979
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  • Formaat: Hardback, 417 pages, kõrgus x laius: 235x155 mm, kaal: 7686 g, 83 Illustrations, color; 200 Illustrations, black and white; XII, 417 p. 283 illus., 83 illus. in color. With online files/update., 1 Hardback
  • Sari: Heat and Mass Transfer
  • Ilmumisaeg: 05-Oct-2016
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9811024979
  • ISBN-13: 9789811024979

This book offers an easy-to-understand introduction to the computational mass transfer (CMT) method. On the basis of the contents of the first edition, this new edition is characterized by the following additional materials. It describes the successful application of this method to the simulation of the mass transfer process in a fluidized bed, as well as recent investigations and computing methods for predictions for the multi-component mass transfer process. It also demonstrates the general issues concerning computational methods for simulating the mass transfer of the rising bubble process. This new edition has been reorganized by moving the preparatory materials for Computational Fluid Dynamics (CFD) and Computational Heat Transfer into appendices, additions of new chapters, and including three new appendices on, respectively, generalized representation of the two-equation model for the CMT, derivation of the equilibrium distribution function in the lattice-Boltzmann method, and derivation of the Navier-Stokes equation using the lattice-Boltzmann model. This book is a valuable resource for researchers and graduate students in the fields of computational methodologies for the numerical simulation of fluid dynamics, mass and/or heat transfer involved in separation processes (distillation, absorption, extraction, adsorption etc.), chemical/biochemical reactions, and other related processes.

 







This book presents a new computational methodology called Computational Mass Transfer (CMT). It details a rigorous model for the simulation of concentration, temperature and velocity distributions in chemical and related processes.
1 Basic Models of Computational Mass Transfer
1(50)
1.1 Equation of Mass Conservation and Its Closure
3(3)
1.2 Turbulent Mass Diffusivity Model
6(1)
1.3 Conventional Turbulent Mass Diffusivity Model
6(1)
1.3.1 Turbulent Schmidt Number Model
6(1)
1.3.2 Inert Tracer Model
7(1)
1.4 c'2 -- εc Model (Two-Equation Model)
7(22)
1.4.1 The c'2 and εc' Equations
8(9)
1.4.2 The c'2 -- εc' Model Equation Sets
17(4)
1.4.3 Determination of Boundary Conditions
21(3)
1.4.4 Experimental Verification of Model Prediction
24(2)
1.4.5 Analogy Between Transport Diffusivities
26(2)
1.4.6 Generalized Equations of Two-Equation Model
28(1)
1.5 Reynolds Mass Flux Model
29(10)
1.5.1 Standard Reynolds Mass Flux Model
29(8)
1.5.2 Hybrid Reynolds Mass Flux Model
37(1)
1.5.3 Algebraic Reynolds Mass Flux Model
38(1)
1.6 Simulation of Gas (Vapor)--Liquid Two-Phase Flow
39(6)
1.7 Model System of CMT Process Computation
45(1)
1.8 Summary
46(5)
References
47(4)
2 Application of Computational Mass Transfer (I) Distillation Process
51(60)
2.1 Tray Column
54(36)
2.1.1 c'2 -- εc' Two-Equation Model
54(15)
2.1.2 Reynolds Mass Flux Model
69(9)
2.1.3 Prediction of Multicomponent Point Efficiency
78(12)
2.2 Packed Column
90(13)
2.2.1 c'2 -- εc Two-Equation Model
90(5)
2.2.2 Reynolds Mass Flux Model
95(8)
2.3 Separation of Benzene and Thiophene by Extractive Distillation
103(5)
2.4 Summary
108(3)
References
109(2)
3 Application of Computational Mass Transfer (II) Chemical Absorption Process
111(40)
3.1 c'2 -- εc Two-Equation Model
113(21)
3.1.1 Absorption of CO2 by Aqueous MEA in Packed Column
118(7)
3.1.2 Absorption of CO2 by Aqueous AMP in Packed Column
125(3)
3.1.3 Absorption of CO2 by Aqueous NaOH in Packed Column
128(6)
3.2 Reynolds Mass Flux Model
134(14)
3.2.1 Absorption of CO2 by Aqueous MEA in Packed Column
137(7)
3.2.2 The Absorption of CO2 by Aqueous NaOH in Packed Column
144(4)
3.3 Summary
148(3)
References
148(3)
4 Application of Computational Mass Transfer (III)---Adsorption Process
151(24)
4.1 c'2 -- εc Two-Equation Model for Gas Adsorption
154(13)
4.1.1 c'2 -- εc' Model Equations
154(3)
4.1.2 Boundary Conditions
157(1)
4.1.3 Evaluation of Source Terms
158(2)
4.1.4 Simulated Results and Verification
160(5)
4.1.5 Simulation for Desorption (Regeneration) and Verification
165(2)
4.2 Reynolds Mass Flux Model
167(6)
4.2.1 Model Equations
167(2)
4.2.2 Simulated Results and Verification
169(2)
4.2.3 Simulation for Desorption (Regeneration) and Verification
171(2)
4.3 Summary
173(2)
References
173(2)
5 Application of Computational Mass Transfer (IV) Fixed-Bed Catalytic Reaction
175(28)
5.1 c'2 -- εc Two-Equation Model for Catalytic Reactor
178(13)
5.1.1 Model Equation
178(4)
5.1.2 Boundary Conditions
182(1)
5.1.3 Determination of the Source Terms
182(1)
5.1.4 The Simulated Wall-Cooled Catalytic Reactor
183(2)
5.1.5 Simulated Result and Verification
185(6)
5.2 Reynolds Mass Flux Model for Catalytic Reactor
191(9)
5.2.1 Model Equations
191(3)
5.2.2 Simulated Result and Verification
194(3)
5.2.3 The Anisotropic Mass Diffusivity
197(3)
5.3 Summary
200(3)
References
201(2)
6 Application of Computational Mass Transfer (V) Fluidized Chemical Process
203(40)
6.1 Flow Characteristics of Fluidized Bed
205(3)
6.2 c'2 -- εc Two-Equation Model for Simulating Fluidized Process
208(15)
6.2.1 The Removal of CO2 in Flue Gas in FFB Reactor
208(11)
6.2.2 Simulation of Ozone Decomposition in the Downer of CFB Reactor
219(4)
6.3 Reynolds Mass Flux Model for Simulating Fluidized Process
223(16)
6.3.1 Model Equations
223(4)
6.3.2 Simulation of the Riser in CFB Ozone Decomposition
227(10)
6.3.3 Simulation of the Downer in CFB Ozone Decomposition
237(2)
6.4 Summary
239(4)
References
240(3)
7 Mass Transfer in Multicomponent Systems
243(44)
7.1 Mass Transfer Rate in Two-Component (Binary) System
245(6)
7.2 Mass Transfer in Multicomponent System
251(5)
7.2.1 Generalized Fick's Law
252(1)
7.2.2 Maxwell--Stefan Equation
252(4)
7.3 Application of Multicomponent Mass Transfer Equation
256(7)
7.3.1 Prediction of Point Efficiency of Tray Column
256(1)
7.3.2 Two-Regime Model for Point Efficiency Simulation
257(4)
7.3.3 Example of Simulation
261(2)
7.4 Verification of Simulated Result
263(5)
7.4.1 Experimental Work
263(2)
7.4.2 Comparison of Simulation with Experimental
265(1)
7.4.3 The Bizarre Phenomena of Multicomponent System
265(3)
7.5 Determination of Vapor--Liquid Equilibrium Composition
268(12)
7.5.1 Thermodynamic Relationship of Nonideal Solution
268(3)
7.5.2 Prediction of Activity Coefficient: (1) Semi-empirical Equation
271(4)
7.5.3 Prediction of Activity Coefficient (2) Group Contribution Method
275(3)
7.5.4 Experimental Measurement of Activity Coefficient
278(2)
7.6 Results and Discussion
280(4)
7.6.1 Correlation of the Phase Equilibrium
280(4)
7.7 Summary
284(3)
References
284(3)
8 Micro Behaviors Around Rising Bubbles
287(24)
8.1 Fluid Velocity Near the Bubble Interface
288(10)
8.1.1 Model Equation of Velocity Distribution Near a Rising Bubble
290(5)
8.1.2 Experimental Measurement and Comparison with Model Prediction
295(3)
8.2 Concentration Field Around a Bubble
298(11)
8.2.1 Concentration at Bubble Interface
298(8)
8.2.2 Interfacial Mass Transfer
306(3)
8.3 Discussion
309(1)
8.4 Summary
309(2)
References
310(1)
9 Simulation of Interfacial Effect on Mass Transfer
311(68)
9.1 The Interfacial Effect
313(2)
9.2 Experimental Observation of Interfacial Structure Induced by Marangoni Convection
315(5)
9.2.1 Stagnant Liquid and Horizontal Gas Flow
316(2)
9.2.2 Horizontal Concurrent Flow of Liquid and Gas
318(1)
9.2.3 Vertical (Falling Film) Countercurrent Flow of Liquid and Gas
319(1)
9.3 The Condition for Initiating Marangoni Convection
320(7)
9.3.1 Model Equations
321(2)
9.3.2 Stability Analysis
323(4)
9.4 Mass Transfer Enhancement by Marangoni Convection
327(3)
9.5 Experiment on the Mass Transfer Enhancement by Interfacial Marangoni Convection
330(5)
9.5.1 Absorption of CO2 by Horizontal Stagnant Solvent
330(2)
9.5.2 Desorption of CO2 by Falling Film Solvent
332(3)
9.6 The Transition of Interfacial Structure from Order to Disorder
335(3)
9.7 Theory of Mass Transfer with Consideration of Marangoni Effect
338(5)
9.8 Simulation of Rayleigh Convection
343(9)
9.8.1 Mathematical Model
343(3)
9.8.2 Result of Simulation and Analysis
346(6)
9.9 Experimental Measurement of Rayleigh Convection
352(8)
9.10 Simulation and Observation of Two-Dimensional Solute Convection at Interface
360(5)
9.10.1 Simulation of Two-Dimensional Interfacial Concentration
360(5)
9.10.2 Experimental Observation of Interfacial Concentration Gradient
365(1)
9.11 Marangoni Convection at Deformed Interface Under Simultaneous Mass and Heat Transfer
365(11)
9.11.1 Model Equations
366(4)
9.11.2 Generalization to Dimensionless
370(2)
9.11.3 Stability Analysis
372(4)
9.12 Summary
376(3)
References
376(3)
10 Simulation of Interfacial Behaviors by the Lattice-Boltzmann Method
379
10.1 Fundamentals of Lattice-Boltzmann Method
381(11)
10.1.1 From Lattice Gas Method to Lattice-Boltzmann Method
381(1)
10.1.2 Basic Equations of Lattice-Boltzmann Method
382(7)
10.1.3 Lattice-Boltzmann Method for Heat Transfer Process
389(2)
10.1.4 Lattice-Boltzmann Method for Mass Transfer Process
391(1)
10.2 Simulation of Solute Diffusion from Interface to the Bulk Liquid
392(2)
10.3 Fixed Point Interfacial Disturbance Model
394(8)
10.3.1 Single Local Point of Disturbance at Interface
394(1)
10.3.2 Influence of Physical Properties on the Solute Diffusion from Interface
395(4)
10.3.3 Uniformly Distributed Multi-points of Disturbance at Interface
399(2)
10.3.4 Nonuniformly Distributed Multi-points of Disturbance at Interface
401(1)
10.4 Random Disturbance Interfacial Model
402(10)
10.5 Self-renewable Interface Model
412(4)
10.6 Summary
416
References
416
Professor Kuo-Tsong Yu is a member of the Chinese Academy of Sciences. 





Dr. Xigang Yuan is a professor at the School of Chemical Engineering and Technology, Tianjin University, China.