This course covers topics in kinetics and reactor design, focusing on rate data analysis. By the end of the course, students will be able to determine rate order, analyze conversion data, perform differential analysis to determine rate laws, and use non-linear regression for reactor sizing. The course teaches skills such as using the least squares method, conducting non-linear regression in various software tools, and calculating kinetic parameters. The teaching method includes screencasts and practical examples. This course is intended for students and professionals interested in chemical engineering, specifically in the areas of kinetics and reactor design.
Overview
Syllabus
CSTR Conversion Based on Batch Data.
Compare First- and Second-Order Reactions.
Determining Rate Order.
Differential Analysis: Determining a Rate Law.
Differential Data Analysis.
Differential PBR Data.
Differential Reactor Analysis.
Differential Reactor Data (PBR).
Least Squares Method.
Non-Linear Regression Introduction.
Non-Linear Regression/POLYMATH.
Pharmacokinetics: Analyzing Concentration Data (Bio).
Reaction Rate Explanation.
Simpson's Rule/Excel.
Using Data to Size a PBR Part 1.
Using Data to Size a PBR Part 2.
Non-Linear Regression in Mathematica.
Thermodynamic Interpretation of Transition State Theory: The Eyring Equation.
Relationship Between Arrhenius Activation Energy and Transition State Theory (Eyring Equation).
Non-linear Regression for Kinetic Data.
Non-linear Regression for Kinetic Data Using POLYMATH.
Linear Regression for Kinetic Data.
Linear Regression for Kinetic Data Using POLYMATH.
Determining Michaelis-Menten Kinetics Parameters Using Nonlinear Regression.
Nonlinear Regression to Determine Michaelis-Menten Kinetics Parameters Using POLYMATH.
Nonlinear Regression to Determine Michaelis-Menten Kinetics Parameters Using Excel Solver.
How to Determine Activation Energy Using Nonlinear Regression.
Determine Activation Energy Using Nonlinear Regression with POLYMATH.
Determine Activation Energy Using Nonlinear Regression with Excel Solver.
Calculate 95% Confidence Intervals for Nonlinear Regression in Excel Part 1.
Calculate 95% Confidence Intervals for Nonlinear Regression in Excel Part 2.
Determine Kinetic Parameters for Data from Isothermal Plug Flow Reactor Part 1: Overview.
Determine Kinetic Parameters for Data from Isothermal Plug Flow Reactors Part 2: Excel Calculations.
Determine Kinetic Parameters for Data from Isothermal Plug Flow Reactors Part 3: Excel Spreadsheet.
Determine Kinetic Parameters for Data from Isothermal Plug Flow Reactors Part 4: Confidence Limits.
Solving Mass Balance Differential Equations for an Isothermal Plug Flow Reactor in Excel.
Nonlinear Regression for Kinetic Parameters for Isothermal PFR: Multiple Reactor Conditions Changed.
Introduction to Virtual Catalytic Reactor Labratory.
Analyze Virtual Catalytic Reactor Laboratory Data Using Nonlinear Regression.
Mechanism For N2O Catalytic Decomposition: Example Problem.
Conversion for a Reactor with Segregated Flow.
Taught by
LearnChemE
