Coulson and Richardson's Chemical Engineering: Volume 3B: Process Control, Fourth Edition, covers reactor design, flow modeling, and gas-liquid and gas-solid reactions and reactors. Converted from textbooks into fully revised reference material Content ranges from foundational through to technical Added emerging applications, numerical methods and computational tools
Coulson and Richardson's Chemical Engineering: Volume 3B: Process Control, Fourth Edition, covers reactor design, flow modeling, and gas-liquid and gas-solid reactions and reactors.
Converted from textbooks into fully revised reference material Content ranges from foundational through to technical Added emerging applications, numerical methods and computational toolsHinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Dr. Rohani is the past Chair of Chemical and Biochemical Engineering Department at the University of Western Ontario. He is a full professor in the Department of Chemical and Biochemical Engineering at the University of Western Ontario, where he also served as the past chair. His research focuses on solid-state chemistry and pharmaceutical control, the application of artificial intelligence in pharmaceutical crystallization, and the synthesis and applications of metal-organic frameworks. He has authored over 400 refereed journal publications.
Inhaltsangabe
1. Introduction to Process Dynamics and Control Systems 2. Nonlinear Dynamic Mathematical Modeling of Chemical/Biological/Green Processes 3. Laplace Transforms, Linear State Space Models and Transfer Functions 4. Empirical Models and Process Identification 5. Control System Instrumentation and Controllers 6. Closed-Loop Systems, Stability and Design of PID controllers 7. Feedforward Control and Enhanced Single-Loop Controllers 8. Frequency Response and Stability in the Frequency Domain 9. Design of Discrete Controllers in the z-domain 10. Stochastic Processes 11. Design of Deterministic Controllers in the State-Space 12. Nonlinear Geometric Control 13. Control and Optimization of Batch Processes 14. Model Predictive Controllers 15. Control of Distributed Parameter Systems
1. Introduction to Process Dynamics and Control Systems 2. Nonlinear Dynamic Mathematical Modeling of Chemical/Biological/Green Processes 3. Laplace Transforms, Linear State Space Models and Transfer Functions 4. Empirical Models and Process Identification 5. Control System Instrumentation and Controllers 6. Closed-Loop Systems, Stability and Design of PID controllers 7. Feedforward Control and Enhanced Single-Loop Controllers 8. Frequency Response and Stability in the Frequency Domain 9. Design of Discrete Controllers in the z-domain 10. Stochastic Processes 11. Design of Deterministic Controllers in the State-Space 12. Nonlinear Geometric Control 13. Control and Optimization of Batch Processes 14. Model Predictive Controllers 15. Control of Distributed Parameter Systems
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