Solving Boundary Value Problems in Chemical Engineering with MATLAB

Many physical processes in chemical engineering, such as heat transfer, mass diffusion, and chemical reactions, are governed by boundary value problems. Mastering how to set up and solve these equations numerically is essential for designing and analyzing real-world chemical systems. This text-based course guides you through the fundamentals of boundary value problems (BVPs) and teaches you how to implement robust numerical solutions using MATLAB. You will gain the confidence to translate physical chemical engineering phenomena into mathematical models and solve them systematically. What you'll learn: - Understand the core mathematical concepts of boundary value problems and boundary conditions in chemical systems - Formulate ordinary differential equations for transport phenomena and chemical reaction kinetics - Set up and configure MATLAB solvers like bvp4c to find accurate numerical solutions - Apply numerical methods to solve classic diffusion-reaction and heat conduction problems - Analyze and interpret solver outputs to optimize system parameters and chemical reactor designs - Implement modern MATLAB programming practices, including anonymous functions and vectorized code, for cleaner simulations You will start with foundational definitions and governing equations before moving on to step-by-step code implementations. Through clear, written explanations and practical code examples, you will learn to tackle increasingly complex transport and reaction models. This course is designed for engineering students and practicing chemical engineers who are new to numerical modeling or want to refresh their BVP solving skills using MATLAB. No prior experience with advanced numerical analysis is required. Start reading today to master the numerical methods that power chemical engineering simulation.