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Applied AI Techniques in the Process Industry : From Molecular Design to Process Design and Optimization
Applied AI Techniques in the Process Industry : From Molecular Design to Process Design and Optimization
Autore He Chang
Edizione [1st ed.]
Pubbl/distr/stampa Newark : , : John Wiley & Sons, Incorporated, , 2025
Descrizione fisica 1 online resource (336 pages)
Disciplina 670.28563
Altri autori (Persone) RenJingzheng
Soggetto topico Artificial intelligence - Industrial applications
Chemical engineering - Data processing
ISBN 9783527845491
3527845496
9783527845477
352784547X
9783527845484
3527845488
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- Title Page -- Copyright -- Contents -- Preface -- Chapter 1 AI for Property Modeling, Solvent Tailoring, and Process Design -- 1.1 AI‐Assisted Property Modeling -- 1.2 AI‐assisted Solvent Tailoring -- 1.3 AI‐Assisted Process Design -- 1.4 Conclusions -- References -- Chapter 2 Hunting for Better Aromatic Chemicals with AI Techniques -- 2.1 Introduction -- 2.2 Machine Learning‐Based Odor Prediction Models -- 2.2.1 Odor Predictions for Pure Aromatic Chemicals Using Group‐Based Machine Learning Method -- 2.2.1.1 Database Preparation -- 2.2.1.2 Molecular Representation -- 2.2.1.3 Model Architecture -- 2.2.1.4 Results and Discussions -- 2.2.2 Odor Prediction for Mixture Aromatic Chemicals Using σ‐Profiles‐Based Machine Learning Method -- 2.2.2.1 Database Preparation -- 2.2.2.2 Molecular Representation -- 2.2.2.3 Model Architecture -- 2.2.2.4 Results and Discussions -- 2.3 Computer‐Aided Aroma Design (CAAD) Framework -- 2.3.1 CAAD for Pure Aromatic Chemicals -- 2.3.1.1 Identify Product Attributes -- 2.3.1.2 Convert Product Attributes to Properties and Their Constraints -- 2.3.1.3 Choose Property Prediction Model for Estimating Properties -- 2.3.1.4 Formulate MILP/MINLP Model
Record Nr. UNINA-9911020153603321
He Chang  
Newark : , : John Wiley & Sons, Incorporated, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Chemical engineering computation with MATLAB / / Yeong-Koo Yeo
Chemical engineering computation with MATLAB / / Yeong-Koo Yeo
Autore Yeo Yeong-Koo
Edizione [Second edition.]
Pubbl/distr/stampa Boca Raton : , : CRC Press, , 2020
Descrizione fisica 1 online resource (849 pages) : illustrations
Disciplina 660.0285
Soggetto topico MATLAB
Chemical engineering - Data processing
ISBN 1-00-309060-5
1-003-09060-5
1-000-28488-3
1-000-28492-1
9781003090601
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgments -- Author -- 1. Introduction to MATLABⓇ -- 1.1. Starting MATLAB -- 1.1.1. Entering Commands in the Command Window -- 1.1.2. help Command -- 1.1.3. Exiting MATLAB -- 1.2. Operations and Assignment of Variables -- 1.2.1. Errors in Input -- 1.2.2. Aborting Calculations -- 1.3. Vectors and Matrices -- 1.3.1. Vectors -- 1.3.2. Matrices -- 1.3.3. Complex Number -- 1.3.4. Suppression of Screen Output -- 1.4. Numerical Expressions -- 1.5. Managing Variables -- 1.5.1. clear Command -- 1.5.2. Computational Limitations and Constants -- 1.5.3. "whos" Command -- 1.6. Symbolic Operations -- 1.6.1. Creation of Symbolic Variables -- 1.6.2. Substitution in Symbolic Equations -- 1.7. Code Files -- 1.7.1. Script Code Files -- 1.7.2. Adding Comments -- 1.7.3. Function Code Files -- 1.8. Functions -- 1.8.1. Built-In Functions -- 1.8.2. User-Defined Functions -- 1.9. Loops -- 1.9.1. If Statement -- 1.9.2. For Loop -- 1.10. Graphics -- 1.10.1. Plotting with ezplot -- 1.10.2. Modifying Graphs -- 1.10.3. Graphing with plot -- 1.10.4. Plotting Multiple Curves -- 1.10.5. Three-Dimensional Plots -- 1.11. Ordinary Differential Equations -- 1.12. Code File Examples -- 1.12.1. Population Growth Model -- 1.12.2. Random Fibonacci Sequence -- 1.12.3. Generation of a 3D Object -- 1.13. Simulink® -- 1.13.1. Simulink Blocks -- 1.13.2. Creation of a Simple Simulink Model -- Bibliography -- 2. Numerical Methods with MATLABⓇ -- 2.1. Linear Systems -- 2.1.1. Gauss Elimination Method -- 2.1.2. Gauss-Seidel Method -- 2.1.3. Conjugate Gradient Method -- 2.1.4. Use of MATLAB Built-In Functions -- 2.2. Nonlinear Equations -- 2.2.1. Polynomial Equations -- 2.2.2. Zeros of Nonlinear Equations -- 2.2.2.1. Bisection Method -- 2.2.2.2. False Position Method -- 2.2.2.3. Newton-Raphson Method.
2.2.2.4. Secant Method -- 2.2.2.5. Muller Method -- 2.2.3. Solution of Nonlinear Equations of Several Variables -- 2.2.3.1. Newton-Raphson Method -- 2.2.3.2. Secant Method -- 2.2.3.3. Fixed-Point Iteration Method for Nonlinear Systems -- 2.2.4. Use of MATLAB Built-In Functions -- 2.3. Regression Analysis -- 2.3.1. Introduction to Statistics -- 2.3.1.1. Elementary Statistics -- 2.3.1.2. Probability Distribution -- 2.3.2. Generation of Random Numbers -- 2.3.3. Linear Regression Analysis -- 2.3.4. Polynomial Regression Analysis -- 2.3.4.1. Data Fitting by Least-Squares Method -- 2.3.4.2. Use of MATLAB Built-In Functions -- 2.3.5. Transformation of Nonlinear Functions to Linear Functions -- 2.4. Interpolation -- 2.4.1. Polynomial Interpolation -- 2.4.2. Lagrange Method -- 2.4.3. Newton Method -- 2.4.4. Cubic Splines -- 2.4.5. Use of MATLAB Built-In Functions -- 2.4.5.1. Polynomial and Cubic Spline Regression -- 2.4.5.2. Interpolation in One Dimension -- 2.4.5.3. Interpolation in Multiple Dimensions -- 2.5. Differentiation and Integration -- 2.5.1. Differentiation -- 2.5.2. Integration -- 2.5.2.1. Definite Integrals -- 2.5.2.2. Multiple Integrals -- 2.6. Ordinary Differential Equations -- 2.6.1. Initial-Value Problems -- 2.6.1.1. Explicit Euler Method -- 2.6.1.2. Implicit Euler Method -- 2.6.1.3. Heun Method -- 2.6.1.4. Runge-Kutta Methods -- 2.6.1.5. nth-Order ODE -- 2.6.1.6. Use of MATLAB Built-In Functions -- 2.6.2. Boundary-Value Problems -- 2.6.3. Differential Algebraic Equations (DAEs) -- 2.7. Partial Differential Equations -- 2.7.1. Classification of Partial Differential Equations -- 2.7.1.1. Classification by Order -- 2.7.1.2. Classification by Linearity -- 2.7.1.3. Classification of Linear 2nd-Order Partial Differential Equations -- 2.7.1.4. Classification by Initial and Boundary Conditions.
2.7.2. Solution of Partial Differential Equations by Finite Difference Methods -- 2.7.2.1. Parabolic PDE -- 2.7.2.2. Hyperbolic PDE -- 2.7.2.3. Elliptic PDE -- 2.7.3. Method of Lines -- 2.7.4. Use of the MATLAB Built-In Function pdepe -- 2.8. Historical Development of Process Engineering Software -- Problems -- Linear Systems -- Nonlinear Equations -- Regression Analysis -- Interpolation -- Differentiation and Integration -- Ordinary Differential Equations -- Partial Differential Equations -- References -- 3. Physical Properties -- 3.1. Water and Steam -- 3.1.1. Division of Pressure-Temperature Range -- 3.1.2. Property Equations -- 3.1.2.1. Parameters and Auxiliary Equations -- 3.1.2.2. Basic Equation for Region 1 -- 3.1.2.3. Basic Equation for Region 2 -- 3.1.2.4. Basic Equation for Region 3 -- 3.1.2.5. Basic Equation for Region 4 -- 3.1.2.6. Basic Equations for Region 5 -- 3.1.3. Properties of Saturated Steam -- 3.1.4. Calculation of H2O Properties by MATLAB Programs -- 3.1.4.1. Properties of H2O -- 3.1.4.2. Properties of Saturated H2O -- 3.2. Humidity -- 3.2.1. Relative Humidity -- 3.2.2. Absolute Humidity -- 3.3. Density of Saturated Liquids -- 3.3.1. Yaws Correlation -- 3.3.2. COSTALD Method -- 3.3.3. Gunn-Yamada Method7 -- 3.4. Viscosity -- 3.4.1. Viscosity of Liquids -- 3.4.2. Viscosity of Gases -- 3.5. Heat Capacity -- 3.5.1. Heat Capacity of Liquids -- 3.5.1.1. Polynomial Correlation -- 3.5.1.2. Rowlinson-Bondi Method -- 3.5.2. Heat Capacity of Gases -- 3.6. Thermal Conductivity -- 3.6.1. Thermal Conductivity of Liquids -- 3.6.2. Thermal Conductivity of Gases -- 3.7. Surface Tension -- 3.7.1. Surface Tension of Liquids -- 3.7.2. Surface Tension by Correlations -- 3.8. Vapor Pressure -- 3.8.1. Antoine Equation -- 3.8.2. Extended Antoine Equation -- 3.8.3. Wagner Equation -- 3.8.4. Hoffmann-Florin Equation -- 3.8.5. Rarey-Moller Equation.
3.8.6. Vapor Pressure Estimation by Correlations -- 3.9. Enthalpy of Vaporization -- 3.9.1. Watson Equation -- 3.9.2. Pitzer Correlation -- 3.9.3. Clausius-Clapeyron Equation -- 3.10. Heat of Formation for Ideal Gases -- 3.11. Gibbs Free Energy -- 3.12. Diffusion Coefficients -- 3.12.1. Liquid-Phase Diffusion Coefficients -- 3.12.2. Gas-Phase Diffusion Coefficients -- 3.13. Compressibility Factor of Natural Gases -- Problems -- References -- 4. Thermodynamics -- 4.1. Equation of State -- 4.1.1. Virial State Equation -- 4.1.2. Lee-Kesler Equation -- 4.1.3. Cubic Equations of State -- 4.1.4. Thermodynamic State Models -- 4.2. Thermodynamic Properties of Fluids -- 4.2.1. Enthalpy Change -- 4.2.2. Departure Function -- 4.2.2.1. Departure Function from the Virial Equation of State -- 4.2.2.2. Departure Function from the VDW (van der Waals) Equation of State -- 4.2.2.3. Departure Function from the RK (Redlich-Kwong) Equation of State -- 4.2.2.4. Departure Function from the SRK (Soave-Redlich-Kwong) Equation of State -- 4.2.2.5. Departure Function from the PR (Peng-Robinson) Equation of State -- 4.2.3. Enthalpy of Mixture -- 4.3. Fugacity Coefficient -- 4.3.1. Fugacity Coefficients of Pure Species -- 4.3.2. Fugacity Coefficient of a Species in a Mixture -- 4.3.2.1. Fugacity Coefficient from the Virial Equation of State -- 4.3.2.2. Fugacity Coefficient from the Cubic Equations of State -- 4.3.2.3. Fugacity Coefficient from the van der Waals Equation of State -- 4.4. Activity Coefficient -- 4.4.1. Activity Coefficient Models -- 4.4.1.1. Wilson equation -- 4.4.1.2. van Laar equation -- 4.4.2. Activity Coefficients by the Group Contribution Method -- 4.4.2.1. UNIQUAC Method -- 4.4.2.2. UNIFAC Method -- 4.5. Vapor-Liquid Equilibrium -- 4.5.1. Vapor-Liquid Equilibrium by Raoult's Law -- 4.5.2. Vapor-Liquid Equilibrium by Modified Raoult's Law.
4.5.2.1. Dew Point and Bubble Point Calculations -- 4.5.2.2. Flash Calculation by the Modified Raoult's Law -- 4.5.3. Vapor-Liquid Equilibrium Using Ratio of Fugacity Coefficients -- 4.5.3.1. Dew Point and Bubble Point Calculations38 -- 4.5.3.2. Flash Calculations Using Fugacity Coefficients -- 4.6. Vapor-Liquid-Liquid Equilibrium -- Problems -- References -- 5. Fluid Mechanics -- 5.1. Laminar Flow -- 5.1.1. Reynolds Number -- 5.1.2. Flow in a Horizontal Pipe -- 5.1.3. Laminar Flow in a Horizontal Annulus -- 5.1.4. Vertical Laminar Flow of a Falling Film -- 5.1.5. Falling Particles -- 5.2. Friction Factor -- 5.3. Flow of Fluids in Pipes -- 5.3.1. Friction Loss -- 5.3.2. Equivalent Length of Various Fittings and Valves -- 5.3.3. Excess Head Loss -- 5.3.4. Pipe Reduction and Enlargement -- 5.3.5. Overall Pressure Drop -- 5.3.6. Pipeline Network -- 5.4. Flow through a Tank -- 5.4.1. Open Tank -- 5.4.2. Enclosed Tank -- 5.5. Flow Measurement: Orifice and Venturi Meter -- 5.6. Flow of Non-Newtonian Fluids -- 5.6.1. Velocity Profile -- 5.6.2. Reynolds Number -- 5.6.3. Friction Factor -- 5.7. Compressible Fluid Flow in Pipes -- 5.7.1. Critical Flow and the Mach Number -- 5.7.2. Compressible Isothermal Flow -- 5.7.3. Choked Flow -- 5.8. Two-Phase Flow in Pipes -- 5.8.1. Flow Patterns -- 5.8.2. Pressure Drop -- 5.8.3. Corrosion and Erosion -- 5.8.4. Vapor-Liquid Two-Phase Vertical Downflow -- 5.8.5. Pressure Drop in Flashing Steam Condensate Flow -- 5.9. Flow through Packed Beds -- Problems -- References -- 6. Chemical Reaction Engineering -- 6.1. Characteristics of Reaction Rates -- 6.1.1. Estimation of Reaction Rate Constant and Reaction Order -- 6.1.2. Reaction Equilibrium -- 6.1.3. Reaction Conversion -- 6.1.4. Series Reactions -- 6.2. Continuous-Stirred Tank Reactors (CSTRs) -- 6.2.1. Concentration Changes with Time -- 6.2.2. Nonisothermal Reaction.
6.2.3. Multiple Reactions in a CSTR.
Record Nr. UNINA-9911117157903321
Yeo Yeong-Koo  
Boca Raton : , : CRC Press, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Chemical engineering computation with MATLAB / / Yeong-Koo Yeo
Chemical engineering computation with MATLAB / / Yeong-Koo Yeo
Autore Yeo Yeong-Koo
Edizione [Second edition.]
Pubbl/distr/stampa Taylor and Francis, 2020
Descrizione fisica 1 online resource (849 pages) : illustrations
Disciplina 660.0285
Soggetto topico MATLAB
Chemical engineering - Data processing
ISBN 1-00-309060-5
1-003-09060-5
1-000-28488-3
1-000-28492-1
9781003090601
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgments -- Author -- 1. Introduction to MATLABⓇ -- 1.1. Starting MATLAB -- 1.1.1. Entering Commands in the Command Window -- 1.1.2. help Command -- 1.1.3. Exiting MATLAB -- 1.2. Operations and Assignment of Variables -- 1.2.1. Errors in Input -- 1.2.2. Aborting Calculations -- 1.3. Vectors and Matrices -- 1.3.1. Vectors -- 1.3.2. Matrices -- 1.3.3. Complex Number -- 1.3.4. Suppression of Screen Output -- 1.4. Numerical Expressions -- 1.5. Managing Variables -- 1.5.1. clear Command -- 1.5.2. Computational Limitations and Constants -- 1.5.3. "whos" Command -- 1.6. Symbolic Operations -- 1.6.1. Creation of Symbolic Variables -- 1.6.2. Substitution in Symbolic Equations -- 1.7. Code Files -- 1.7.1. Script Code Files -- 1.7.2. Adding Comments -- 1.7.3. Function Code Files -- 1.8. Functions -- 1.8.1. Built-In Functions -- 1.8.2. User-Defined Functions -- 1.9. Loops -- 1.9.1. If Statement -- 1.9.2. For Loop -- 1.10. Graphics -- 1.10.1. Plotting with ezplot -- 1.10.2. Modifying Graphs -- 1.10.3. Graphing with plot -- 1.10.4. Plotting Multiple Curves -- 1.10.5. Three-Dimensional Plots -- 1.11. Ordinary Differential Equations -- 1.12. Code File Examples -- 1.12.1. Population Growth Model -- 1.12.2. Random Fibonacci Sequence -- 1.12.3. Generation of a 3D Object -- 1.13. Simulink® -- 1.13.1. Simulink Blocks -- 1.13.2. Creation of a Simple Simulink Model -- Bibliography -- 2. Numerical Methods with MATLABⓇ -- 2.1. Linear Systems -- 2.1.1. Gauss Elimination Method -- 2.1.2. Gauss-Seidel Method -- 2.1.3. Conjugate Gradient Method -- 2.1.4. Use of MATLAB Built-In Functions -- 2.2. Nonlinear Equations -- 2.2.1. Polynomial Equations -- 2.2.2. Zeros of Nonlinear Equations -- 2.2.2.1. Bisection Method -- 2.2.2.2. False Position Method -- 2.2.2.3. Newton-Raphson Method.
2.2.2.4. Secant Method -- 2.2.2.5. Muller Method -- 2.2.3. Solution of Nonlinear Equations of Several Variables -- 2.2.3.1. Newton-Raphson Method -- 2.2.3.2. Secant Method -- 2.2.3.3. Fixed-Point Iteration Method for Nonlinear Systems -- 2.2.4. Use of MATLAB Built-In Functions -- 2.3. Regression Analysis -- 2.3.1. Introduction to Statistics -- 2.3.1.1. Elementary Statistics -- 2.3.1.2. Probability Distribution -- 2.3.2. Generation of Random Numbers -- 2.3.3. Linear Regression Analysis -- 2.3.4. Polynomial Regression Analysis -- 2.3.4.1. Data Fitting by Least-Squares Method -- 2.3.4.2. Use of MATLAB Built-In Functions -- 2.3.5. Transformation of Nonlinear Functions to Linear Functions -- 2.4. Interpolation -- 2.4.1. Polynomial Interpolation -- 2.4.2. Lagrange Method -- 2.4.3. Newton Method -- 2.4.4. Cubic Splines -- 2.4.5. Use of MATLAB Built-In Functions -- 2.4.5.1. Polynomial and Cubic Spline Regression -- 2.4.5.2. Interpolation in One Dimension -- 2.4.5.3. Interpolation in Multiple Dimensions -- 2.5. Differentiation and Integration -- 2.5.1. Differentiation -- 2.5.2. Integration -- 2.5.2.1. Definite Integrals -- 2.5.2.2. Multiple Integrals -- 2.6. Ordinary Differential Equations -- 2.6.1. Initial-Value Problems -- 2.6.1.1. Explicit Euler Method -- 2.6.1.2. Implicit Euler Method -- 2.6.1.3. Heun Method -- 2.6.1.4. Runge-Kutta Methods -- 2.6.1.5. nth-Order ODE -- 2.6.1.6. Use of MATLAB Built-In Functions -- 2.6.2. Boundary-Value Problems -- 2.6.3. Differential Algebraic Equations (DAEs) -- 2.7. Partial Differential Equations -- 2.7.1. Classification of Partial Differential Equations -- 2.7.1.1. Classification by Order -- 2.7.1.2. Classification by Linearity -- 2.7.1.3. Classification of Linear 2nd-Order Partial Differential Equations -- 2.7.1.4. Classification by Initial and Boundary Conditions.
2.7.2. Solution of Partial Differential Equations by Finite Difference Methods -- 2.7.2.1. Parabolic PDE -- 2.7.2.2. Hyperbolic PDE -- 2.7.2.3. Elliptic PDE -- 2.7.3. Method of Lines -- 2.7.4. Use of the MATLAB Built-In Function pdepe -- 2.8. Historical Development of Process Engineering Software -- Problems -- Linear Systems -- Nonlinear Equations -- Regression Analysis -- Interpolation -- Differentiation and Integration -- Ordinary Differential Equations -- Partial Differential Equations -- References -- 3. Physical Properties -- 3.1. Water and Steam -- 3.1.1. Division of Pressure-Temperature Range -- 3.1.2. Property Equations -- 3.1.2.1. Parameters and Auxiliary Equations -- 3.1.2.2. Basic Equation for Region 1 -- 3.1.2.3. Basic Equation for Region 2 -- 3.1.2.4. Basic Equation for Region 3 -- 3.1.2.5. Basic Equation for Region 4 -- 3.1.2.6. Basic Equations for Region 5 -- 3.1.3. Properties of Saturated Steam -- 3.1.4. Calculation of H2O Properties by MATLAB Programs -- 3.1.4.1. Properties of H2O -- 3.1.4.2. Properties of Saturated H2O -- 3.2. Humidity -- 3.2.1. Relative Humidity -- 3.2.2. Absolute Humidity -- 3.3. Density of Saturated Liquids -- 3.3.1. Yaws Correlation -- 3.3.2. COSTALD Method -- 3.3.3. Gunn-Yamada Method7 -- 3.4. Viscosity -- 3.4.1. Viscosity of Liquids -- 3.4.2. Viscosity of Gases -- 3.5. Heat Capacity -- 3.5.1. Heat Capacity of Liquids -- 3.5.1.1. Polynomial Correlation -- 3.5.1.2. Rowlinson-Bondi Method -- 3.5.2. Heat Capacity of Gases -- 3.6. Thermal Conductivity -- 3.6.1. Thermal Conductivity of Liquids -- 3.6.2. Thermal Conductivity of Gases -- 3.7. Surface Tension -- 3.7.1. Surface Tension of Liquids -- 3.7.2. Surface Tension by Correlations -- 3.8. Vapor Pressure -- 3.8.1. Antoine Equation -- 3.8.2. Extended Antoine Equation -- 3.8.3. Wagner Equation -- 3.8.4. Hoffmann-Florin Equation -- 3.8.5. Rarey-Moller Equation.
3.8.6. Vapor Pressure Estimation by Correlations -- 3.9. Enthalpy of Vaporization -- 3.9.1. Watson Equation -- 3.9.2. Pitzer Correlation -- 3.9.3. Clausius-Clapeyron Equation -- 3.10. Heat of Formation for Ideal Gases -- 3.11. Gibbs Free Energy -- 3.12. Diffusion Coefficients -- 3.12.1. Liquid-Phase Diffusion Coefficients -- 3.12.2. Gas-Phase Diffusion Coefficients -- 3.13. Compressibility Factor of Natural Gases -- Problems -- References -- 4. Thermodynamics -- 4.1. Equation of State -- 4.1.1. Virial State Equation -- 4.1.2. Lee-Kesler Equation -- 4.1.3. Cubic Equations of State -- 4.1.4. Thermodynamic State Models -- 4.2. Thermodynamic Properties of Fluids -- 4.2.1. Enthalpy Change -- 4.2.2. Departure Function -- 4.2.2.1. Departure Function from the Virial Equation of State -- 4.2.2.2. Departure Function from the VDW (van der Waals) Equation of State -- 4.2.2.3. Departure Function from the RK (Redlich-Kwong) Equation of State -- 4.2.2.4. Departure Function from the SRK (Soave-Redlich-Kwong) Equation of State -- 4.2.2.5. Departure Function from the PR (Peng-Robinson) Equation of State -- 4.2.3. Enthalpy of Mixture -- 4.3. Fugacity Coefficient -- 4.3.1. Fugacity Coefficients of Pure Species -- 4.3.2. Fugacity Coefficient of a Species in a Mixture -- 4.3.2.1. Fugacity Coefficient from the Virial Equation of State -- 4.3.2.2. Fugacity Coefficient from the Cubic Equations of State -- 4.3.2.3. Fugacity Coefficient from the van der Waals Equation of State -- 4.4. Activity Coefficient -- 4.4.1. Activity Coefficient Models -- 4.4.1.1. Wilson equation -- 4.4.1.2. van Laar equation -- 4.4.2. Activity Coefficients by the Group Contribution Method -- 4.4.2.1. UNIQUAC Method -- 4.4.2.2. UNIFAC Method -- 4.5. Vapor-Liquid Equilibrium -- 4.5.1. Vapor-Liquid Equilibrium by Raoult's Law -- 4.5.2. Vapor-Liquid Equilibrium by Modified Raoult's Law.
4.5.2.1. Dew Point and Bubble Point Calculations -- 4.5.2.2. Flash Calculation by the Modified Raoult's Law -- 4.5.3. Vapor-Liquid Equilibrium Using Ratio of Fugacity Coefficients -- 4.5.3.1. Dew Point and Bubble Point Calculations38 -- 4.5.3.2. Flash Calculations Using Fugacity Coefficients -- 4.6. Vapor-Liquid-Liquid Equilibrium -- Problems -- References -- 5. Fluid Mechanics -- 5.1. Laminar Flow -- 5.1.1. Reynolds Number -- 5.1.2. Flow in a Horizontal Pipe -- 5.1.3. Laminar Flow in a Horizontal Annulus -- 5.1.4. Vertical Laminar Flow of a Falling Film -- 5.1.5. Falling Particles -- 5.2. Friction Factor -- 5.3. Flow of Fluids in Pipes -- 5.3.1. Friction Loss -- 5.3.2. Equivalent Length of Various Fittings and Valves -- 5.3.3. Excess Head Loss -- 5.3.4. Pipe Reduction and Enlargement -- 5.3.5. Overall Pressure Drop -- 5.3.6. Pipeline Network -- 5.4. Flow through a Tank -- 5.4.1. Open Tank -- 5.4.2. Enclosed Tank -- 5.5. Flow Measurement: Orifice and Venturi Meter -- 5.6. Flow of Non-Newtonian Fluids -- 5.6.1. Velocity Profile -- 5.6.2. Reynolds Number -- 5.6.3. Friction Factor -- 5.7. Compressible Fluid Flow in Pipes -- 5.7.1. Critical Flow and the Mach Number -- 5.7.2. Compressible Isothermal Flow -- 5.7.3. Choked Flow -- 5.8. Two-Phase Flow in Pipes -- 5.8.1. Flow Patterns -- 5.8.2. Pressure Drop -- 5.8.3. Corrosion and Erosion -- 5.8.4. Vapor-Liquid Two-Phase Vertical Downflow -- 5.8.5. Pressure Drop in Flashing Steam Condensate Flow -- 5.9. Flow through Packed Beds -- Problems -- References -- 6. Chemical Reaction Engineering -- 6.1. Characteristics of Reaction Rates -- 6.1.1. Estimation of Reaction Rate Constant and Reaction Order -- 6.1.2. Reaction Equilibrium -- 6.1.3. Reaction Conversion -- 6.1.4. Series Reactions -- 6.2. Continuous-Stirred Tank Reactors (CSTRs) -- 6.2.1. Concentration Changes with Time -- 6.2.2. Nonisothermal Reaction.
6.2.3. Multiple Reactions in a CSTR.
Record Nr. UNINA-9911148432703321
Yeo Yeong-Koo  
Taylor and Francis, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Chemical engineering primer with computer applications / / Hussein K. Abdel-Aal
Chemical engineering primer with computer applications / / Hussein K. Abdel-Aal
Autore Abdel-Aal Hussein K.
Edizione [1st ed.]
Pubbl/distr/stampa Boca Raton : , : CRC Press, , [2017]
Descrizione fisica 1 online resource (287 pages) : illustrations (some color)
Disciplina 660
Soggetto topico Chemical engineering - Data processing
ISBN 1-315-35304-0
1-315-38243-1
1-4987-3058-2
9781315382432
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Section I. An insight into chemical engineering -- Section II. Fundamentals and problem-solving profile -- Section III. Backbone materials.
Record Nr. UNINA-9910136077703321
Abdel-Aal Hussein K.  
Boca Raton : , : CRC Press, , [2017]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computers & chemical engineering [[e-journal]]
Computers & chemical engineering [[e-journal]]
Pubbl/distr/stampa [Oxford], : Pergamon Press, 1977-
Soggetto topico Chemical engineering - Data processing
Soggetto genere / forma Periodicals.
ISSN 1873-4375
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti Computers and chemical engineering
CACE
Record Nr. UNISA-996215590203316
[Oxford], : Pergamon Press, 1977-
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computers & chemical engineering
Computers & chemical engineering
Pubbl/distr/stampa [Oxford], : Pergamon Press, 1977-
Soggetto topico Chemical engineering - Data processing
Chemical engineering - Data processing - Periodicals
Génie chimique - Informatique - Périodiques
Génie chimique - Informatique
Soggetto genere / forma Periodicals.
periodicals.
Périodiques.
ISSN 1873-4375
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti Computers and chemical engineering
CACE
Record Nr. UNINA-9910144508803321
[Oxford], : Pergamon Press, 1977-
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Digital Chemical Engineering
Digital Chemical Engineering
Pubbl/distr/stampa [Amsterdam] : , : Elsevier Ltd., , 2021-
Soggetto topico Chemical engineering - Data processing
Chemical engineering - Mathematical models
Digital computer simulation
Génie chimique - Informatique
Génie chimique - Modèles mathématiques
Simulation par ordinateur
Soggetto genere / forma Periodicals.
ISSN 2772-5081
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Record Nr. UNINA-9910495751903321
[Amsterdam] : , : Elsevier Ltd., , 2021-
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Digital transformation for the process industries : a roadmap / / Osvaldo A. Bascur
Digital transformation for the process industries : a roadmap / / Osvaldo A. Bascur
Autore Bascur O. A (Osvaldo A.)
Edizione [First edition.]
Pubbl/distr/stampa Boca Raton : , : CRC Press, Taylor & Francis Group, , 2021
Descrizione fisica 1 online resource (321 pages)
Disciplina 660.028/5
658.5
Soggetto topico Chemical engineering - Data processing
Industrial management - Data processing
Operations research - Data processing
ISBN 1-00-301052-0
1-003-01052-0
1-000-16538-8
1-000-16548-5
9781003010524
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Advancing to an Industrial Digital Data Infrastructure2. Building the Foundation3. Using EIDI Data as a Strategic Asset4. Advanced Analysis Using Unit Data and Event Templates5. The Humans behind the Data: Visualization and Collaboration6. Preventing Abnormal Situations7. Energy Management and Operational Improvements8. Successful Examples of Enterprise-Wide Digital Transformation9. Beyond the Refinery--Connecting the Ecosystem10. Operational and Business Analytics Integration11. ProcIndustries Enterprise-Wide Rollout12. The Future of the Digital Enterprise
Record Nr. UNINA-9911117054703321
Bascur O. A (Osvaldo A.)  
Boca Raton : , : CRC Press, Taylor & Francis Group, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Digital transformation for the process industries : a roadmap / / Osvaldo A. Bascur
Digital transformation for the process industries : a roadmap / / Osvaldo A. Bascur
Autore Bascur O. A (Osvaldo A.)
Edizione [First edition.]
Pubbl/distr/stampa Boca Raton : , : CRC Press, Taylor & Francis Group, , 2021
Descrizione fisica 1 online resource (321 pages)
Disciplina 660.028/5
658.5
Soggetto topico Chemical engineering - Data processing
Industrial management - Data processing
Operations research - Data processing
ISBN 1-00-301052-0
1-003-01052-0
1-000-16538-8
1-000-16548-5
9781003010524
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Advancing to an Industrial Digital Data Infrastructure2. Building the Foundation3. Using EIDI Data as a Strategic Asset4. Advanced Analysis Using Unit Data and Event Templates5. The Humans behind the Data: Visualization and Collaboration6. Preventing Abnormal Situations7. Energy Management and Operational Improvements8. Successful Examples of Enterprise-Wide Digital Transformation9. Beyond the Refinery--Connecting the Ecosystem10. Operational and Business Analytics Integration11. ProcIndustries Enterprise-Wide Rollout12. The Future of the Digital Enterprise
Record Nr. UNINA-9911146780303321
Bascur O. A (Osvaldo A.)
Boca Raton : , : CRC Press, Taylor & Francis Group, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Introduction to chemical engineering computing / / Bruce A. Finlayson
Introduction to chemical engineering computing / / Bruce A. Finlayson
Autore Finlayson Bruce A.
Edizione [Second edition.]
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley, , 2014
Descrizione fisica 1 online resource (404 p.)
Disciplina 660.0285
Soggetto topico Chemical engineering - Data processing
Soggetto genere / forma Electronic books.
ISBN 1-118-88837-5
1-118-88850-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto INTRODUCTION TO CHEMICAL ENGINEERING COMPUTING; Contents; Preface; How to use This Book in Teaching; What is New?; Acknowledgments; 1 Introduction; Organization; Algebraic Equations; Process Simulation; Differential Equations; Appendices; 2 Equations of State; Equations of State-Mathematical Formulation; Solving Equations of State Using Excel (Single Equation in One Unknown); Solution Using "Goal Seek"; Solution Using "Solver"; Example of a Chemical Engineering Problem Solved Using "Goal Seek"; Solving Equations of State Using MATLAB (Single Equation in One Unknown)
Example of a Chemical Engineering Problem Solved Using MATLABAnother Example of a Chemical Engineering Problem Solved Using MATLAB; Equations of State With Aspen Plus; Example Using Aspen Plus; Specific Volume of a Mixture; Chapter Summary; Problems; Numerical Problems; 3 Vapor-Liquid Equilibria; Flash and Phase Separation; Isothermal Flash-Development of Equations; Example Using Excel; Thermodynamic Parameters; Example Using MATLAB; Example Using Aspen Plus; Nonideal Liquids-Test of Thermodynamic Model; Nist Thermo Data Engine in Aspen Plus; Chapter Summary; Problems; Numerical Problems
4 Chemical Reaction EquilibriaChemical Equilibrium Expression; Example of Hydrogen for Fuel Cells; Solution Using Excel; Solution Using MATLAB; Chemical Reaction Equilibria with Two or More Equations; Multiple Equations, Few Unknowns Using MATLAB; Chemical Reaction Equilibria Using Aspen Plus; Chapter Summary; Problems; Numerical Problems; 5 Mass Balances with Recycle Streams; Mathematical Formulation; Example Without Recycle; Example with Recycle; Comparison of Sequential and Simultaneous Solution Methods; Example of Process Simulation Using Excel for Simple Mass Balances
Example of Process Simulation Using Aspen Plus for Simple Mass BalancesExample of Process Simulation with Excel Including Chemical Reaction Equilibria; Did the Iterations Converge?; Extensions; Chapter Summary; Class Exercises; Class Discussion (After Viewing Problem 5.10 on the Book Website); Problems; 6 Thermodynamics and Simulation of Mass Transfer Equipment; Thermodynamics; Guidelines for Choosing; Properties Environment | Home | Methods Selection Assistant; Thermodynamic Models; Example: Multicomponent Distillation with Shortcut Methods
Multicomponent Distillation with Rigorous Plate-to-Plate MethodsExample: Packed Bed Absorption; Example: Gas Plant Product Separation; Example: Water Gas Shift Equilibrium Reactor with Sensitivity Block and Design Specification Block; Chapter Summary; Class Exercise; Problems (Using Aspen Plus); 7 Process Simulation; Model Library; Example: Ammonia Process; Development of the Model; Solution of the Model; Examination of Results; Testing the Thermodynamic Model; Utility Costs; Greenhouse Gas Emissions; Convergence Hints; Optimization; Integrated Gasification Combined Cycle
Cellulose to Ethanol
Record Nr. UNINA-9910453262103321
Finlayson Bruce A.  
Hoboken, New Jersey : , : Wiley, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
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