Numerical Methods for Chemical Engineering in MATLAB

Chemical engineering systems often involve complex, non-linear equations and multi-reaction networks that are impossible to solve by hand. To design reactors and analyze processes, you need to translate chemical principles into computational models. This text-based course guides you step-by-step through solving chemical engineering problems using MATLAB, focusing on numerical methods for reaction kinetics and process simulation. You will start by mastering the fundamental concepts of numerical modeling, rate laws, and mass balances. Through clear written explanations and structured code snippets, you will learn how to set up and solve systems of ordinary differential equations (ODEs) that govern chemical reactors. What you'll learn: - Learn the foundational principles of numerical modeling in chemical engineering. - Build MATLAB scripts to calculate time-dependent concentration changes in reaction networks. - Solve ordinary differential equations (ODEs) using standard numerical solvers. - Apply root-finding algorithms to determine steady-state process conditions. - Understand how to structure and debug MATLAB code for engineering simulations. This course begins with basic chemical kinetics terminology and MATLAB syntax before moving into practical modeling exercises. You will read detailed breakdowns of code structure and analyze how changes in physical parameters affect numerical outputs. This course is designed for undergraduate engineering students, researchers, and practicing chemical engineers who want to build a solid foundation in computational modeling. No prior programming experience is required. Start reading today and gain the computational skills needed to solve real-world chemical engineering problems.