Accelerating Crystallization Process Scale-Up with Mixing Intelligence

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