The process of crystallization is a critical operation in pharmaceutical and chemical manufacturing, directly impacting product purity, particle size distribution (PSD), crystal quality, and downstream process efficiency. However, scaling the process of crystallization from lab to commercial production remains challenging due to changes in mixing dynamics, crystallization kinetics, and process yield across equipment scales.
Traditional scale-up methods often fail to capture these complex interactions, leading to inconsistent batch performance and unpredictable crystal properties. In this expert-led webinar, discover how mixing intelligence, AI/ML, and data-driven process modeling can accelerate the process of crystallization scale-up and enable more robust, scalable, and efficient pharmaceutical manufacturing.
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