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- Duration / Course length: 5 Days
- Starting Date: Enquire About It
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Course details
OverviewModelling and Simulation of physical and chemical processes are modern accurate tools for the prediction of properties optimisation of processes and understanding of nature itself. Today's computational power and modern approaches to continuously increase that power has provided with an unprecedented opportunity for modeling and simulation in demanding fields such as chemical engineering. Different approaches of varying accuracy and requirements in time and infrastructure exist that lead to minimisation of research times discovery of novel compounds and manufacturing pathways identification of problematic stages in chemical and power plants and understanding of physical and chemical pathways. This scientific seminar includes the presentation of all methods technologies means and tools for modeling and simulation in chemical engineering.
Objective
By the end of the courseparticipants should have:
- An overview of all types of modelling and simulation approaches
- Understanding of modeling and simulating physical and chemical processes
- Understanding of theories of modeling and simulation
- Understanding the mathematical background of each approach
- Understanding the physical background of each approach
- Understanding of the potential of application of modeling and simulation in chemical engineering and chemistry
- Knowledge on setting up simulations and using computational tools
- Knowledge on using information from modeling and simulation
- Overview of popular computational chemistry and mathematical tools
- Understanding of evaluating time savings from modeling and simulation usage
- Knowledge of case studies
Who Should Attend
- Engineers, workers, research scientists
- Executives, managers and directors of chemical, manufacturing and power plants
- Investors in chemical, manufacturing and power plants
- University professors, students, scientists and teaching personnel
Course Outlines
- Modelling and simulation stages
- Classification of models
- Steady state process
- Unsteady state process
- Molecular modeling
- Computational Chemistry
- Computational fluid dynamics
- Optimisation
- 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
Job roles this course is suitable for:
Engineers , workers , research , scientists , Executives , managers , directorsAbout London Training For Excellence
Empowering Professionals for Over a Decade
London Training for Excellence is a leading provider of professional development programmes, established in 2013. For over eleven years, we have been committed to equipping individuals and organisations with the skills and knowledge they need to excel in today's ever-evolving business landscape.
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