Master Thesis Student
In the pharmaceutical industry, spray drying plays a pivotal role in creating inhalable powders for treating respiratory diseases like asthma. Integrating advanced modeling tools can significantly accelerate product development. My master’s thesis at AstraZeneca focused on this goal, achieving the following:• Improved Semi-Mechanistic Model: Developed a new semi-mechanistic model for cyclone separators—a critical part of the spray drying process—validated against CFD results. Unlike previous models, it applies to all reverse-flow cyclones, regardless of design or conditions, eliminating the need for experimental inputs.• Digital Twin for Efficient Simulation: Built a digital twin using this model, enabling highly accurate simulations with significantly lower computational costs, positioning it as a practical primary model for industry applications.• Tailored CFD Methodology: Created a specialized CFD approach for small-scale, high-efficiency cyclones, which closely aligned with experimental data. This improved the understanding of cyclone performance and design optimization in pharmaceutical applications.
