Product and Process Modelling : A Case Study Approach (Hardcover)

1. Modelling: Nature and Use
2. Modelling Practice
3. Computer Aided Modelling Tools
4. Case Studies: Overview
5. Constitutive Models
5.1. Constitutive Models ? Physical properties
5.2. Constitutive Model Parameter Estimation
5.3. Constitutive Model Applications
6. Steady State Process Modelling
6.1. Equation based approach
6.2. Simulator based modelling
7. Models for Dynamic Application
7.1. Complex unit operations ? Blending tank
7.2. Complex integrated operation: Direct methanol fuel cell
7.3. Multiscale fluidized bed reactor
7.4. Dynamic chemical reactor
7.5. Polymerization reactor
8. Distributed Parameter Modelling Applications
8.1. Oil-shale pre-heating cooling unit
8.2. Modelling the dynamic performance of a complex granulator
8.3. Short-path evaporator model
9. Tennessee Eastman Plant-wide Industrial Process Challenge Problem
9.1. Simplified model
9.2. Full model
10. Batch Process Operations
10.1. Batch cooling crystallization modelling (population balance modelling)
10.2. Batch event modelling
11. Model Identification (Parameter Estimation)
11.1. Modelling of simple reaction kinetics
11.2. Kinetic model parameter estimation? -1 (least squares)
11.3. Kinetic model parameter estimation? -2 (non-linear least squares)
11.4. Kinetic model parameter estimation? -3 (model identification)
11.5. Kinetic model parameter estimation (maximum likelihood principle)
12. Modelling for Bio, Agro and Pharma Applications
12.1. Microcapsule based controlled release
12.2. Fermentation process
12.3. Milk pasteurization process
12.4. Milling process model
12.5. Granulation process model
12.6. Pharmaceutical tablet pressing process
13. Future Perspectives
14. Appendix
14.1. Appendix-1
14.2. Appendix-2