Dataset collection underlying the thesis: "Virtual prototyping of wet granulation processes"
What's in it
Wet granulation processes are essential in various industries, such as pharmaceuticals, where they play a critical role in enhancing the flowability, compressibility, and homogeneity of powder blends -- properties essential for high-quality manufacturing. The (bio-)pharmaceutical industry is currently changing paradigms from traditional batch processing to continuous manufacturing, driven by the need for increased efficiency, flexibility, and product consistency. twin-screw wet granulation (TSWG) has emerged as a promising game changer, offering the potential for continuous processing with modular screw designs which can be adapted to specific formulations. However, process optimisation relies heavily on empirical adjustments and time-consuming experimental prototyping, which can be costly and inefficient. This doctoral thesis presents a comprehensive study on experiments and modelling of wet granulation processes, with a particular focus on TSWG. We aim to advance the field by developing a comprehensive multiscale modelling framework that integrates the discrete particle method (DPM), population balance (PB) models, and rapid prototyping, to optimise and predict wet granulation …
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