Using Theoretical Process Modeling to Infer Real-Time Product Quality.
Process modeling has been employed successfully for decades in multiple industries that use continuous manufacturing processes. In fact, it is well-known that engineers use theoretical process models to do everything from design process production trains to determine key process quality performance indicators (KPIs). In the oil and gas industry, an example of such a KPI might be the composition of chemical splits at various stages in a separation column. In the specialty chemicals industry, a KPI might be the moisture content of an extruded plastic sheet; and in the pharmaceutical industry, it might be the predicted composition in a bioreactor. Since all chemical and biological processes may be modelled for steady-state and batch processes, engineers have spent years developing complex chemical and bio-chemical process models for these applications. And they’ve employed everything from old-school hand calculations to modern-day software programs to create them. Surprisingly, what is not as well-known is that process modeling may also be used for real-time process control.
– KPI Measurement Lag
– How can Process Modeling Help
– How it Works
– Is Model-Based Control Right for You?
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