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 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.
Computational Fluid Dynamics (CFD) coupled with Discrete Element Modeling (DEM) has been identified as a key enabling technology in finding solutions to many of these challenges, such as shortening product-process development cycles, optimizing existing processes, reducing energy requirements, all leading to an efficient design of new products. For large-scale chemical products, it can also mean less waste, as well as a reduction in the number of trials and downtime due to failure.
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