Webinars Topics and Schedule
A DEM Study of Wet Granulation in a Twin Screw Granulator
Available On-Demand
With twin screw granulation becoming a popularly employed method of wet granulation, an in-depth understanding of particle enlargement in the granulating process is necessary in order to improve the quality of the final product without the need for large-scale physical Design-of-Experiment studies.
Featuring Dr. John Paul Morrissey, Research Associate at the University of Edinburgh, this webinar will discuss how the Discrete Element Method can be applied to model and provide key insight into the wet granulation process.
Continuous Pharmaceutical Powder Mixing Process Modeling
Available On-Demand
Continuous manufacturing (CM) of oral drug products can deliver high quality oral solid dose products, with greater flexibility and at a reduced cost of supply.
Featuring Peyman Aminpour, R&D Scientist at Thermo Fischer Scientific, this webinar will explain how the Discrete Element Method was used to simulate a commercial continuous blender and evaluate the effects of critical process parameters (CPPs) including impeller rotation rate, feed flow rate, and relationship with material properties on the blender performance.
Using Machine Learning and Simulation for the Optimization of Industrial Bulk Handling Processes – a Case Study on Bin Blending
Available On-Demand
In this webinar, Stefan Pantaleev, Senior Application Engineer at Altair, will present an efficient virtual optimization methodology for industrial bulk handling processes, which combines discrete element modelling, design of experiments, machine learning and optimization methods in the Altair portfolio of tools to significantly reduce the computational expense of optimization relative to a purely simulation driven approach.
Speakers
