Process Simulation and Mathematical Techniques for Chemical Engineers
In this course, numerical methods will be applied to chemical engineering problems in mass and energy balances, thermodynamics, fluid flow, heat transfer, separations, and chemical reactor analysis. Topics include: computer calculations and round-off error, algorithms and convergence, finding roots by bisection or Newton’s method, curve fitting and interpolation / extrapolation, numerical integration and differentiation, numerical solution of initial value problems, stiffness, matrices and determinants, matrix properties, special matrices, methods of solution for systems of linear equations by matrices, eigenvalues, eigenvectors, solving systems of non-linear equations, and applications to unit operations. We will use series methods and numerical methods applied to various chemical engineering models, including the following specific methods: Euler’s method, Runge-Kutta methods, the Finite difference method, and Newton-Raphson for vector systems.
3 credits. Prerequisite: ChE 341
Course Code: ChE 352