RAPID Manufacturing Institute?转发了
The upcoming RAPID Deploy conference will focus on process technology scaleup. As discussed in recent posts on this topic, we need to worry about managing the time it takes to work through scaleup, the cost of the scaleup, and the risk that comes with any new technology. In process development, scale-up, and equipment design, models are indispensable tools, and we need many tools in our toolbox! Models help us set economic and sustainability performance targets, encapsulate experimental data into engineering models, and ultimately streamline decision-making. But as British statistician George Box once said: “All models are wrong, but some are useful.” The key is utility—models should complement experimentation, saving time, reducing costs, and guiding future opportunities. Some examples of useful models include: ?? Kinetic models for chemical and biological reactions ?? Reactor design models for chemical and biological reactors, including packed bed, trickle flow, airlift, and more ?? Phase equilibrium models for separation system design ?? Life Cycle Analysis models for sustainability ?? Technoeconomic models for economic insights ?? Process simulation models for flowsheet optimization Where data gaps exist, assumptions can shape working models. Sensitivity analysis then evaluates how critical these assumptions are to the system, informing experimental activities. This synergy between modeling, experimentation, and engineering design drives efficient scale-up and innovation. Remember, modeling isn't a "set and forget" strategy. As data emerges, models evolve, growing more robust and actionable. By working across multiple scales, we refine their value and enhance their utility. Do you want to optimize your process scale-up with the right models? Let’s talk! RAPID Manufacturing Institute? #processtechnology #sustainabletechnology #scaleup