Join the DynoChem training team for two days of hands-on training, using DynoChem to accelerate process development and scale-up projects.
Training will address DynoChem applications for engineers and scientists in API process development groups involved in tech transfer, troubleshooting and optimisation of API reaction, workup and isolation steps.
The agenda will cover topics such as:
- Obtaining physical property values for solvents and mixtures
- Phase equilibrium calculations for boiling point, identifying azeotropes and miscibility
- Reactor calculations for heat transfer and mixing
- Optimising batch distillation / solvent switch operations
- Scale-up of filtration and centrifugation steps
- Basics of DynoChem modelling applicable to reactions, crystallization and other operations
Training times will be from 9:00 to 4:30 each day, with 6 hours of tuition. Computers with DynoChem installed may be provided for your convenience - let us know if you will be needing one and we will confirm the cost.
Learning objectives:
By the end of the course, trainees will be able to:
• Draw and understand process schemes and use them to help think about how to model or design experiments to understand a new or existing process
• Use DynoChem utilities to estimate parameter values, compare vessels and ensure minimum agitation criteria are met in lab and plant vessels
• Model chemical reactions, including kinetics, temperature-dependence, reaction orders
• Fit chemical kinetics to typical lab data
• Optimise reactions for yield and impurity levels
• Generate response surfaces to study process robustness and determine design space for QbD submissions
• Further develop initial models to include multi-phase, scale-up and interpretation of analytical data
• Use plant data to back out equipment characteristics, especially heat transfer
• Simulate solid-liquid separation operations based on standard lab experiments
• Look up physical properties for pure components and mixtures
• Simulate solvent swap / displacement / chasing operations to optimize solvent volumes and cycle time
• Understand more about how DynoChem works internally and how it builds the model from user input
• Explore other applications and reuse learned skills to tackle other unit operations or create new templates.• Use DynoChem utilities to estimate parameter values, compare vessels and ensure minimum agitation criteria are met in lab and plant vessels
• Model chemical reactions, including kinetics, temperature-dependence, reaction orders
• Fit chemical kinetics to typical lab data
• Optimise reactions for yield and impurity levels
• Generate response surfaces to study process robustness and determine design space for QbD submissions
• Further develop initial models to include multi-phase, scale-up and interpretation of analytical data
• Use plant data to back out equipment characteristics, especially heat transfer
• Simulate solid-liquid separation operations based on standard lab experiments
• Look up physical properties for pure components and mixtures
• Simulate solvent swap / displacement / chasing operations to optimize solvent volumes and cycle time
• Understand more about how DynoChem works internally and how it builds the model from user input