Today, computational modeling and simulation (M&S) is a key component of process development in the chemical, pharma, and biotech industries. The popularity and success of modeling is due to its ability to predict with great accuracy the (3-D) flow, mixing, mass-transfer, etc. fields inside process equipment such as reactors, pumps, centrifuges, mixers, etc. Simulation data is also naturally rich in detail from which important process insights can be extracted. Despite these advantages, the full potential of M&S as a “go- to” process development and scale-up activity remains unfulfilled. This is because, the simulation data and insights derived from it are not readily available for easy consumption to engineers that are not familiar with M&S. So, a lot of the information that can be used by them goes waste.

One reason for this is that M&S analysts who generate the simulation data do not have a repository solution that enables them to meaningfully store, curate, and distribute process insights to the non-M&S engineering community. As a result, simulation data and process insights derived from it largely reside in presentation decks, cumbersome worksheets, etc. which are hard to maintain and not scalable. This situation is not optimal and needs to be rectified.

In this seminar, we present some key strategies to successfully address this problem of Simulation Data Management. Methods by which simulation data can be converted into storable process insights are first presented. This is followed by a description of a workflow that enables efficient storage and curation of the process insights. Finally, we present methodologies by which the stored process insights can be distributed for easy consumption by the greater process engineering community within the organization.

If you are a modeling engineer (CFD, FEA, LBM, etc.) analyst or the leader of a group of such engineers, this webinar is a must- attend for you.

Agenda:

• Challenges associated with extracting and utilizing process insights from CFD simulation data
• Examples of successful conversion of CFD data into process insights & its best practices
• Strategies for organizing and storing process insights in a meaningful way
• Importance of collaboration and knowledge sharing in simulation data management
• Real-life case studies of successful implementation of simulation data management in organizations

Benefits of Attending:

• Learn about best practices for extracting key insights from CFD simulation data
• Gain insights from an experienced industry expert
• Participate in interactive discussions with other attendees and ask questions to speakers