Numerical Methods for Chemical Engineering and Reactor Modeling

Chemical engineering relies heavily on solving complex mathematical models to design and optimize chemical systems. This course introduces you to the essential numerical methods used to model processes, focusing on practical applications like steady-state Continuous Stirred-Tank Reactor (CSTR) calculations. You will start with the core mathematical principles and learn how to translate physical systems into solvable numerical models. By working through structured written explanations, you will gain the skills to configure parameters, handle algebraic equations, and analyze reactor behavior under varying conditions. You will also explore modern best practices, including parameter sensitivity analysis and robust error-handling techniques to ensure your calculations are reliable. What you'll learn: - Understand the foundational mathematical equations governing CSTR systems - Configure input parameter files for steady-state reactor simulations - Solve systems of non-linear algebraic equations using iterative numerical methods - Analyze reactor stability and sensitivity to changes in feed concentration and temperature - Apply modern numerical computing best practices to ensure calculation convergence - Interpret simulation outputs to make informed engineering design decisions The course begins with foundational chemical engineering kinetics and reactor equations, moves into the selection of appropriate numerical solvers, and concludes with practical step-by-step guidance on setting up and running steady-state simulations. This text-based program is designed for engineering students and practicing professionals who want to build a solid foundation in numerical modeling without complex prerequisites. Start mastering numerical methods for chemical engineering today.