Predicting Hydrodynamic Torque for Valves using Autonomous Valve CFD | simulationHub Webinar

Predicting Hydrodynamic Torque for Valves using Autonomous Valve CFD

Predicting and analyzing the coefficient of hydrodynamic torque for control valve designing and actuator sizing.

Conducted on Friday, July 17th 2020

Watch the video (55:42 min)
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.
The webinar helps you understand the importance of the coefficient of hydrodynamic for control valve designing and actuator sizing. It also covers how simulationHub helps in predicting and analyzing the hydrodynamic torque in different types of rotary valves.
Featured Speaker
Webinar spekar - Praveen Kumar

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).

Blog Author - Prathamesh Badadal

Prathamesh Badadal

Support Engineer, simulationHub

Prathamesh is currently a CFD Support Engineer in the simulationHub team at CCTech. At CCTech he is keenly interested in learning the upcoming new technologies in the field of Computational Fluid Dynamics, Machine Learning. His areas of interest are Computational Fluid Dynamics, Numerical Methods, Heat Transfer and Fluid Mechanics. He holds a Master in Heat Power Engineering from Savitribai Phule Pune University. His hobbies are playing Chess and Badminton.