Pharmaceutical Manufacturing Virtual Panel
Using the Discrete Element Method (DEM) to simulate pharmaceutical manufacturing processes
Thursday 13th August, 2020 - 9am EDT / 3pm CEST
Over 75% of all pharmaceutical products are in the solid dosage form and particulates are involved in almost every stage of the manufacturing process. Efficient handling and processing of particulates is critical to profitable manufacture of pharmaceutical products.
The Discrete Element Method (DEM) is a numerical method that is used to capture the complex behavior of a wide range of granular solids – providing key insight into operations and processes otherwise difficult or impossible to obtain using experiments alone. DEM is proven to be a valuable predictive tool for simulating pharmaceutical manufacturing processes including powder mixing, tablet coating, die filling, granulation, milling and more.
Join this live Virtual Panel presentation & discussion to hear insights from 4 industry experts on the use of DEM as a modelling tool for optimizing pharmaceutical manufacturing processes.
Our speakers will take turn to discuss and share their experience and perspective around the following topics:
- Challenges faced before introducing DEM simulation and why considered/adopted
- Typical DEM applications in process and product development
- Key benefits of using DEM
- Regulatory framework: using models for regulatory purposes
- Digital design / digital twin
- How DEM can help fast and efficient drug development and manufacturing in the current context
Each presentation will last 20 minutes with 5 minutes for questions. A general Q&A will take place afterwards.
Times in EDT
|9:00-9:05||Welcome and introductions|
|9:05-09:30||Speaker 1: Dr. Fernando Muzzio|
|09:35-10:00||Speaker 2: Dr. Liang Li|
|10:05-10:30||Speaker 3: Dr. Nima Yazdanpanah|
|10:35-11:00||Speaker 4: Dr. Maitraye Sen|
All registrants will receive a recording afterwards.
WHO SHOULD ATTEND?
Engineers, scientists and researchers involved in the drug product manufacturing process.
Anyone interested to learn more about the applications of the Discrete Element Method in the pharmaceutical industry, what key insight it can provide and the benefits it can bring to optimize drug development.