Crystallization plays a critical role in pharmaceutical and chemical manufacturing, directly impacting product purity, particle size distribution (PSD), and downstream process efficiency. However, the path from lab-scale success to full-scale production is fraught with challenges—especially when mixing dynamics, yield, and crystallization kinetics vary across equipment scales.
Traditional scale-up strategies often fall short in capturing these complex, scale-dependent interactions, resulting in inconsistent batch performance and unpredictable crystal quality. In this expert-led webinar will show you how to move beyond trial-and-error with a data-driven scale-up framework built on mixing intelligence, AI, and modeling tools.
Key Takeaways:
- How mixing behavior influences crystallization kinetics and particle properties
- Limitations of conventional scale-up methods in regulated manufacturing environments
- Leveraging AI/ML and real-time data for predictive process design
- Real-world case studies demonstrating successful crystallization scale-up in pharma
Featured Presenter
Dr. Mothivel Mummudi
Global Industry Director