Modelling and Simulation in Chemical Engineering
Classroom based course with study materials, lecturer support and CPD Hours included
London Training For Excellence
Summary
- Tutor is available to students
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Overview
Description
- Modelling and simulation stages
- Classification of models
- Steady state process
- Unsteady state process
- Molecular modeling
- Computational Chemistry
- Computational fluid dynamics
- Optimization
- Artificial Intelligence
- Neural Networks
- Process control
- Estimation of parameters
- Process integration and synthesis
- Chemometrics
- Transport phenomena modeling
- Reactor modeling
- Chemical Reaction modeling
- Complex models
- Stochastic mathematical modeling
- Stochastic differential equations system for mass and heat transport
- Methods for solving stochastic models
- Numerical methods for solving stochastic models
- Stochastic modeling case studies [Axial mixing of liquid in a MWPB, molecular motion in porous media, physisorption, etc]
- Stochastic models for processes involving discrete displacement
- Distributions of random variables
- Statistical hypotheses
- Correlation, regression and linear regression
- Experimental design methods
- Analysis of variances and interactions of factors
- Dimensional Analysis and Modeling
- Vaschy – Buckingham Pi theorem
- Physical models and Similitude
- Similitude theory
- HyperChem computational chemistry tool presentation
- Spartan computational chemistry tool presentation
- CFD computational tool presentation
- MatLab computational package presentation
- Recent breakthroughs and advances
- Summary, Conclusions and analysis of near future achievements
- Statistical models
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