CFD Applications for Processes from Food, Pharma and Chemical Industries
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- 09/02/2022 - 3:30 pm - 4:30 pm IST
The unit operations associated with Food, Pharma and Chemical industries exhibit challenges in terms of design, scale-up and optimization. The standard correlations and rules of thumb don’t always work, while experimental testing is costly, time consuming and may not always help to understand the underlying influence of hardware and operating conditions. The Computational Fluid Dynamics (CFD) based models can provide detailed, fundamental understanding of the flow physics at relatively lower cost and time.
In this webinar the Tridiagonal expert will discuss on how CFD is successfully used for design selections, scale-up and process optimization.
Some key questions that will be addressed during the webinar:
- –How can I develop fundamental understanding of this unit or process? The typical correlations or thumb rules have error, is there a better way?
- –How can I improve the current design or make the process more effective?
- –My R&D team has come up with multiple design alternatives, which one will be the best?
- –How can I scale-up from lab to pilot to plant without compromising on performance?
- –Can I convert my existing batch process into continuous?
What attendees will learn:
- –Various aspects and stages of the CFD applied to the process industries
- –Range of applications from single phase to multiphase unit operations
- –Comparison of CFD with experimental/trial data
- –̣Why, when and how CFD should be used?
Who should attend this webinar:
- –Program leaders, R&D leaders from process industries
- –Process Engineers, Design Engineers and Researchers from industries
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Register Now
CFD Applications for Processes from Food, Pharma and Chemical Industries
9/2/20223:30pm IST1 hourIn this webinar the Tridiagonal expert will discuss on how CFD is successfully used for design selections, scale-up and process optimization.
Some key questions that will be addressed during the webinar:
--How can I develop fundamental understanding of this unit or process? The typical correlations or thumb rules have error, is there a better way?
--How can I improve the current design or make the process more effective?
--My R&D team has come up with multiple design alternatives, which one will be the best?
--How can I scale-up from lab to pilot to plant without compromising on performance?
--Can I convert my existing batch process into continuous?