Modeling and Simulation of Combustion in Python by Dr. Abdellatif M. Sadeq offers an in-depth exploration of combustion kinetics, simulation techniques, and data-driven analysis using Python. Designed as both a technical reference and a hands-on guide, this book bridges the gap between theoretical combustion science and practical implementation. It introduces readers to Python's powerful libraries, including Cantera, NumPy, and Matplotlib, and demonstrates their application in building and analyzing combustion models. From fundamental principles of combustion to advanced simulation methodologies, the book progresses logically, ensuring clarity and practical applicability for students, researchers, and industry professionals.
The book begins with a solid foundation in combustion kinetics, covering chemical reaction mechanisms, sensitivity analysis, and pollutant formation pathways. It then transitions into practical Python-based modeling techniques, guiding readers through step-by-step examples and real-world case studies. Each chapter is reinforced with Python code snippets, visualizations, and insights from contemporary research, enabling readers to grasp complex concepts with ease. Special emphasis is placed on advanced simulation frameworks, transport phenomena, and machine learning-enhanced sensitivity studies, offering tools to tackle modern challenges in combustion efficiency and emission control.
Whether you are a student entering the world of combustion modeling, a researcher seeking advanced simulation tools, or an engineer optimizing industrial combustion systems, this book provides a versatile and accessible platform for achieving your goals. With its structured approach, practical focus, and rich repository of Python examples, Modeling and Simulation of Combustion in Python is an essential resource for anyone aiming to innovate in the field of combustion science and sustainable energy technologies.
