Predicting Hydrodynamic Torque for Valves using Autonomous Valve CFD
Coefficient of hydrodynamic torque for control valve designing and actuator sizing
Friday, July 17th 2020
11:00 AM (IST) & 9:30 PM (IST)
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Overview
Torque is an essential parameter in the design of rotary valves such as butterfly valves, ball valves, plug valves, etc. It plays an important role in the actuator selection in the case of motor-operated valves. Hydrodynamic torque or simply dynamic torque has a significant share of the total torque the valve shaft has to undergo during valve operation. Understanding the effect of dynamic torque and its variation with the opening percentage of the valve can give designers a better insight into crucial design improvements for torque reduction in their valve design.
Autonomous Valve CFD (AVC) is a CFD application that runs from your web browser. It predicts the performance of control valves using fluid flow simulations. The app predicts the coefficient of hydrodynamic torque for all the opening percentages for your control valve design and generates a curve illustrating the nature of variation of the torque coefficient.
In this webinar, understand how simulationHub helps in predicting and analyzing the hydrodynamic torque in different types of rotary valves.
Agenda
| Duration (45 mins) | Topic |
|---|---|
| 5 mins | Introduction to simulationHub |
| 15 mins | Hydrodynamic torque prediction using Autonomous Valve CFD application |
| 10 mins | Live demonstration of Autonomous Valve CFD app |
| 5 mins | Upcoming features |
| 10 mins | Q & A session and requirement discussion |
Featured Speaker
Praveen Kumar
Technical Manager, simulationHub
Praveen is working as a Technical Manager in the simulationHub department in CCTech. He has more than a 10 years of experience in applying Computational Fluid Dynamics (CFD) as a tool to provide design solutions for various domains like Aerospace, Automobile, Turbomachinery, Process, and Thermal & Fluid equipment design. Praveen holds a Bachelor's degree in Mechanical Engineering and a P.G. Diploma in Advanced Computational Fluid Dynamics (DACFD).
