The pharmaceutical and chemical industries are facing enormous challenges to satisfy regulatory constraints, flexible market demands, operational complexities and economic limitations. In pharmaceuticals, the globalization and decrease in patent life of new drugs is forcing manufacturers to minimize the drug development time as well as maximize the throughput. Furthermore, the chemical industry is constantly under performance pressures due to high raw material cost and low tolerances for errors.
A major portion of the products in these industries are in the form of particles or various shapes and sizes. Examples range from the coating of tablets, to the drying of superabsorbent beads for baby diapers, extending to the coating of food products such as peanuts.
The flow behavior of particles is significantly different from that of fluids. Fluid-particle as well as particle-particle interaction can affect the overall performance of equipment handling such processes. Modeling technologies are being applied to improve the understanding of this coupled underlying physics.
The integration of CFD methods for such processes can shorten product-process development cycles, optimize existing processes, reduce energy requirements and lead to the efficient design of new products in terms of Quality by Design (QbD). For large scale chemical products, it can also mean less wastage and a reduction in the number of trials and downtime due to failure.
In this webcast we are going to investigate the novel approaches that can be taken to model such flows and the best practices for setting up DEM (Discrete Element Model) using STAR-CCM+. Exploring how to uniquely model these processes in a coupled manner.
Aspects like geometry creation, problem setup and model selection are addressed in the context of pharmaceutical and CPI application scenarios.