This book serves as a quick guide to the use of various computer packages for chemical engineering applications. The new edition offers a wider view of packages including Python and Julia and open source software and includes complete examples in ASPEN Plus. It also adds ANSYS Fluent to CFD codes and discusses Engineering Equation Solver.
This book serves as a quick guide to the use of various computer packages for chemical engineering applications. The new edition offers a wider view of packages including Python and Julia and open source software and includes complete examples in ASPEN Plus. It also adds ANSYS Fluent to CFD codes and discusses Engineering Equation Solver.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Dr. Mariano Martín is Associate Professor of Chemical Engineering at the University of Salamanca and Head of the Master Studies. He graduated cum laude in an integrated program (BSc+MEng) (2003) and holds a PhD in Chemical Engineering from the University of Salamanca 2008. Dr. Martín joined the Modeling & Simulation Department at Procter and Gamble. He left P&G for a Fulbright Postdoctoral Fellow position at Carnegie Mellon University. He received the accesit Mapfre Award in 2003, the Extraordinary PhD Award from Univeristy of Salamanca, and the P&G Award for his contributions to modeling and simulation in 2009. He has been named Rising Star in Chemical Engineering by Imperial College London in 2016 and has been nominated 3 times to the ENI Awards. Dr. Martín has published over 80 peer reviewed papers and authored/edited 4 books for major editorials. http://diarium.usal.es/marianom3
Inhaltsangabe
Section 1. Modeling and Simulation in the Chemical Eng CV and Its Application to Industry. Chapter 1. Modeling, Simulation and Optimization in the Chemical Engineering Curriculum. Chapter 2. Mathematical Modeling and Simulation. Section 2. General Tools. Chapter 3. Excel. Chapter 4. MATLAB. Chapter 5. Mathematica/Mathcad. Chapter 6. Python. Chapter 7. R. Statistics and Data Management. Section 3. Detailed Equipment Design and Analysis. Chapter 8. Transport Phenomena Analysis (CFD). Chapter 9. Discrete Element Methods. Section 4. Process Simulation. Chapter 10. Equation-Based Process Simulation gProms, EMSO. Chapter 11. Engineering Equation Solver. Chapter 12. Modular Process Simulation ASPEN HYSYS1; CHEMCAD2; ASPEN Plus). Section 5. Process Design and Optimization. Chapter 13. Algebraic Modeling and Optimization. Introduction to GAMS, AIMS, AMPLE, MILP, NLP, MINLP Models. Chapter 14. Production Processes. Chapter 15. Scheduling. Chapter 16 . Plant Location: Supply Chain. Chapter 17. Dynamics Optimization. Chapter 18. Julia for Process Design and Optimization
Section 1. Modeling and Simulation in the Chemical Eng CV and Its Application to Industry. Chapter 1. Modeling, Simulation and Optimization in the Chemical Engineering Curriculum. Chapter 2. Mathematical Modeling and Simulation. Section 2. General Tools. Chapter 3. Excel. Chapter 4. MATLAB. Chapter 5. Mathematica/Mathcad. Chapter 6. Python. Chapter 7. R. Statistics and Data Management. Section 3. Detailed Equipment Design and Analysis. Chapter 8. Transport Phenomena Analysis (CFD). Chapter 9. Discrete Element Methods. Section 4. Process Simulation. Chapter 10. Equation-Based Process Simulation gProms, EMSO. Chapter 11. Engineering Equation Solver. Chapter 12. Modular Process Simulation ASPEN HYSYS1; CHEMCAD2; ASPEN Plus). Section 5. Process Design and Optimization. Chapter 13. Algebraic Modeling and Optimization. Introduction to GAMS, AIMS, AMPLE, MILP, NLP, MINLP Models. Chapter 14. Production Processes. Chapter 15. Scheduling. Chapter 16 . Plant Location: Supply Chain. Chapter 17. Dynamics Optimization. Chapter 18. Julia for Process Design and Optimization
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