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Mass Transfers and Physical Data Estimation


Mass Transfers and Physical Data Estimation


1. Aufl.

von: Abdelhanine Benallou

382,99 €

Verlag: Wiley
Format: PDF
Veröffentl.: 19.09.2019
ISBN/EAN: 9781119663263
Sprache: englisch
Anzahl Seiten: 224

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Beschreibungen

Many practical operations, such as environment depollution, blood dialysis or product purification, require matter transfer. With an emphasis on the aforementioned subjects, this book revisits the founding principles of materials transfer on the basis of Fick’s first law, which constitutes the foundation of diffusional phenomena. Additionally, continuity equations translating the macroscopic balances of systems are established. These balances constitute Fick’s second law, which can be applied to quantify the fluxes of matter transferred in each situation, provided physical data is available. To this end, Mass Transfers and Physical Data Estimation pays particular attention to methods of data estimation. Methods presented in this book are applied to several practical cases, such as diffusion in catalytic reactions or the reconstitution of cartilage in human bone joints.
Preface ix Introduction xi Chapter 1. Determination of Physical Data 1 1.1. Introduction 1 1.2. Estimating critical properties 2 1.2.1. Estimating critical temperature 2 1.2.2. Estimating critical pressure 5 1.2.3. Estimating the critical volume: Benson correlation (Benson, 1948) 8 1.2.4. Estimating the critical compressibility factor 10 1.3. Methods for estimating boiling temperature 11 1.4. Methods for estimating density 14 1.4.1. Estimating liquid densities 14 1.5. Methods for estimating viscosity 15 1.5.1. Estimating viscosities of pure liquids 15 1.5.2. Correlations for the viscosity of liquid mixtures 17 1.5.3. Estimating gas viscosities 18 1.6. Methods for estimating specific heat 19 1.6.1. Heat capacities of petroleum oils 19 1.6.2. Heat capacities of petroleum vapors 20 1.6.3. Estimations for anthracite and bituminous coals 20 1.6.4. Heat capacities for cement, mortar and sand 21 1.6.5. Heat capacities of organic liquids 21 1.7. Estimating latent heat of vaporization 22 1.7.1. Rapid estimations 22 1.7.2. Calculating latent heat from critical data 23 1.7.3. Chen correlation 23 1.7.4. Calculations at different temperatures 24 1.8. Estimating expansion coefficients ? 24 1.9. Methods for estimating heat conductivity 25 1.9.1. Heat conductivity of metals and alloys 25 1.9.2. Heat conductivity of wood 26 1.9.3. Conductivity of chains of liquid hydrocarbons 26 1.9.4. Conductivity of gases and vapors 27 1.9.5. Conductivity of monatomic gases 28 1.9.6. Conductivity of non-polar gases with linear molecules 28 1.10. Physical properties of water 29 1.10.1. Correlation of density 29 1.10.2. Heat capacity 29 1.10.3. Correlation of heat conductivity 29 1.10.4. Correlation of viscosity 29 1.10.5. Correlation of thermal diffusivity 30 1.10.6. Correlation of the Prandtl number 30 1.10.7. Correlation for calculating the expansion coefficient 30 1.10.8. Correlation for calculating the saturating pressure 30 1.10.9. Correlation for calculating latent heat 31 1.11. Physical properties of air 31 1.11.1. Correlation of density 32 1.11.2. Heat capacity 32 1.11.3. Correlation of heat conductivity 32 1.11.4. Correlation of viscosity 33 1.11.5. Correlation of thermal diffusivity 33 1.11.6. Correlation of the Prandtl number 33 1.11.7. Correlation for calculating the expansion coefficient 33 Chapter 2. Determinants and Parameters of Mass Transfer 35 2.1. Introduction 35 2.2. Relative transfer velocities 36 2.2.1. Velocity relating to average mass velocity 36 2.2.2. Velocity relative to average molar velocity. 37 2.3. Amount of matter transferred 38 2.4. Expressions of flux density 39 2.4.1. Total flux 39 2.4.2. Specific fluxes 41 2.5. Operations on diffusion flux densities 44 2.5.1. Total density as a function of the specific densities 44 2.5.2. Sum of mass densities with respect to v 45 2.5.3. Sum of molar flux densities with respect to v* 46 2.5.4. Sum of mass flux densities with respect to a mobile reference frame at v* 46 2.6. Relations between flux densities fi and ji 47 2.7. Relations between flux densities Fi and Ji* 47 Chapter 3. Fick’s First Law: Diffusion Coefficients 49 3.1. Introduction 49 3.2. Fick’s first law 50 3.2.1. Expressing the flux density vector 50 3.2.2. Similarities to energy and momentum transfer laws 51 3.2.3. Convective analogy 52 3.3. Fick’s first law in different forms 52 3.4. Determining diffusion coefficients from tabulated data 53 3.4.1. Gaseous binary diffusion coefficients 53 3.4.2. Illustration: diffusion coefficients of CO2 in air and in water vapor 54 3.4.3. Diffusion coefficients for liquid binaries 58 3.5. Estimating diffusion coefficients from correlations 60 3.5.1. Estimating gaseous binary diffusion coefficients 60 3.5.2. Estimating diffusion coefficients of liquid binaries 71 3.6. Diffusion coefficients for multicomponent mixtures 81 3.6.1. Stefan–Maxwell equation 81 3.6.2. Effective diffusion coefficient for complex mixtures 82 Chapter 4. Fick’s Second Law: Macroscopic Balances 85 4.1. Introduction 85 4.2. Overall continuity equation 85 4.2.1. The accumulation term 86 4.2.2. The generation term 86 4.2.3. The term I – O 87 4.2.4. The balance equation 87 4.2.5. The balance equation in Cartesian coordinates 88 4.3. Particular continuity equations 88 4.3.1. The term Ii – Oi 88 4.3.2. The accumulation term 89 4.3.3. The generation term 89 4.3.4. Continuity equations in molar terms 90 4.4. Illustration: diffusion with chemical reaction 92 4.5. Illustration: diffusion of a component in a stagnant mixture 94 4.6. Reading: background to Fick’s Laws 97 Chapter 5. Exercises and Solutions 101 Appendices 153 Appendix 1 155 Appendix 2 187 References 191 Index 205
Abdelhanine Benallou has an extensive background in teaching and in business administration. He was also the main founder of the Moroccan Association for Solar Industry, which he chaired from 1987 to 1997.

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