Dynamic Modeling of Chemical Processes with Python

By Jamie Flux

Discover the power of Python in modeling and simulating chemical processes with this comprehensive guide. Whether you are a chemical engineer, researcher, or student, "Dynamic Modeling of Chemical Processes with Python" will equip you with the necessary skills to analyze and design chemical systems using state-of-the-art computational tools. Key Features: - A practical and hands-on approach to understanding chemical processes through dynamic modeling. - Step-by-step implementation of various numerical integration techniques and solvers using Python. - Extensive coverage of essential topics, including chemical kinetics, reactors, heat exchangers, mass transfer, distillation, process control, optimization, and more. - In-depth explanations and thorough examples showcasing the application of Python and its libraries, such as NumPy, SciPy, and pandas, in chemical engineering modeling. - Access to downloadable code snippets and practical exercises to reinforce learning. Book Description: "Dynamic Modeling of Chemical Processes with Python" provides a comprehensive introduction to the principles and techniques of dynamic modeling and simulation in chemical engineering. Starting with an overview of ordinary differential equations (ODEs) and numerical integration techniques, the book gradually progresses to cover more advanced topics such as matrix algebra, chemical kinetics modeling, reactor design, heat exchangers, mass transfer, distillation, process control, optimization, and more. Throughout the book, Python is used as the primary programming language for implementing and solving chemical engineering problems. The authors explain how to utilize popular Python libraries, such as NumPy, SciPy, and pandas, to graphically analyze and simulate chemical processes. What You Will Learn: - Understand the fundamentals of dynamic modeling and simulation in chemical engineering. - Implement numerical integration techniques and solvers to solve ODEs using Python. - Model chemical kinetics and reaction rates in various types of reactors. - Analyze heat exchangers and their design principles. - Explore mass transfer phenomena in reactive systems. - Optimize chemical processes and design experiments using Python-based tools. - Use artificial neural networks and fuzzy logic control to improve process control. Who This Book Is For: This book is suitable for chemical engineers, researchers, and students seeking to enhance their understanding of dynamic modeling in chemical processes using Python. Some prior knowledge of chemical engineering principles and basic programming concepts will be beneficial. Whether you are an experienced practitioner or a beginner, this book will equip you with the necessary skills to model and simulate chemical processes effectively.

• Format: Paperback
• Language: English
• ISBN: B0D947RWKQ
• ISBN13: 9798332630538
• Release Date: July 2024
• Publisher: Independently published
• Length: 182 Pages
• Dimensions: 10.0" x 0.4" x 8.0"