Events
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.
From Bench to Production - Scaling Up Cell Culture with Confidence
Scaling up bioprocesses presents challenges, as variations in cell culture conditions can affect product consistency and yield. This can put pressure on downstream processing, risking product quality. Understanding bioreactor dynamics is crucial for reliable operation.
Building ROMs and Digital Twins using Python Libraries
Digital twins are virtual representations of physical objects, leveraging computational models like CFD and FEA. While these full-scale models are powerful, they come with significant challenges—they are costly, require expert users, and consume extensive computational resources. Reduced Order Models (ROMs) simplify these complexities by creating cost-effective, user-friendly models that maintain ...
Mixing analysis for successful scale-up of Crystallization Processes
Effective scale-up of crystallization processes relies heavily on proficient mixing techniques. Improper mixing can lead to detrimental outcomes such as oiling out, agglomeration, and unstable Metastable Zone Width (MZW), significantly impacting nucleation and growth kinetics.
Leverage Mixing Analysis for Right-first-time Scale-up Success
Understanding and addressing the complexities of scale-up in chemical processes poses significant challenges for researchers and engineers alike. From liquid-liquid heterogeneous fast oxidation reactions to low occupancy antisolvent crystallization processes, each stage demands meticulous attention to detail to ensure successful replication and transfer from lab to production scale.
Maximize Business Impact Of Modeling & Simulations
In today's chemical, pharma, and biotech industries, computational modeling and simulation (M&S) play a pivotal role in process development. Despite its accuracy in predicting intricate flow dynamics and mass transfer, the full potential of M&S remains untapped. One significant hurdle is the lack of accessibility to simulation data and insights for non-M&S engineers, resulting in waste...