This webinar discusses methods for defining and solving detailed models, calibrating simpler models to these detailed models, and simulating a process line using process flowsheet models. It also shows how COMSOL can be used for analyzing and solving such models.
Mathematical modeling and simulations of reactors and mixers can be done at different levels of detail for different purposes. The initial use of a model may be to run simulations in order to understand the process at hand. A fairly detailed model is then required in order to account for the main phenomena in a process. Such a model may also be used to predict, optimize, and control the reactor or mixer design and its operation.
When a device is simulated together with other equipment in a process line, simpler and less computationally demanding models may be included in a process flowsheet model. These simpler models can be calibrated to the detailed models in order to cover the operational range of the process. In turn, the process flowsheet models can be used to control and optimize the process line.
Typically, bench- and pilot-scale experiments of a process are performed before a full-scale unit is built. The mathematical models and the hypotheses behind them are validated using experimental results. The models can then be used to develop the process up to full scale in a safe and relatively inexpensive way. For existing processes, they can be used to control the operating conditions for purposes of improving the quality and reproducibility of the process.
Ed Fontes is COMSOL’s chief technology officer. He has a PhD in electrochemical engineering from the Royal Institute of Technology, Stockholm.
Phil Kinnane is a chemical engineer at COMSOL. He holds a BE in chemical engineering from the University of Sydney and a PhD in electrochemical engineering from the Royal Institute of Technology, Stockholm.
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