Hit the ground running with the upcoming webinar. Get in touch with experts and explore new simulationHub apps and features.
Recorded Webinars

Webinar 1 : Demo and guidelines for valve designers

The International Valve Design Challenge [IVDC] 2019 provides an opportunity for all the valve designers to use simulationHub's upfront CFD platform. experience the power of Autonomous Valve CFD and come up with innovative and improved high-performance valve designs.

We conducted a webinar for all the participants and aspiring valve designers of IVDC 2019. In the webinar, we discussed different issues and queries our participants had faced so far. It also covered what are the precautions to be considered while performing design modifications.

The webinar recording gives insights into IVDC-2019 with a live demo of Autonomous Valve CFD application.

Conducted on Thursday, November 14th 2019

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Artificial Intelligence (AI) is used to create a generative design based software that can help us design multi-objective optimized valves. The software uses AI to instantly generate a valve design for a desired flow performance requirement.

We are living in a world where Machine Learning has become and becoming root in various fields. A lot of people are interested in learning how to apply machine learning to solve their problems. CCTech has been working in Machine Learning from the last couple of years with our focus on how we can use Machine Learning in Valve Design. We have successfully implemented Machine Learning in Valve designing by using experimental or numerical data generated from simulationHub's Valve CFD application. We would like to share how we have developed valve design app for common control valves and Butterfly Valve using our Machine Learning expertise. We are delighted to demonstrate how we can provide you with the best design for required flow performance using generative design.

Conducted on Thursday, August 1st 2019

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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 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.

Conducted on Thursday, March 14th, 2019

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Understanding flow through control valve is essential in optimum valve design. CFD helps in predicting the valve performance and gives good insight into the flow physics. This involves a series of CFD simulations for different valve openings (minimum to maximum) and calculates the Cv value at each condition. With the emergence of cloud computing, virtual testing of designs and performance optimization have become possible through cloud-based CFD app, with a reduced need of producing physical prototypes.

Autonomous Valve CFD (AVC) is a cloud-based app for predicting the performance of control valves using fluid flow simulations. The app provides web browser-based graphical interface that allows designers to perform flow simulations on their valve geometry and compute valve flow coefficient curves Cv & Kv and coefficient of hydrodynamic torque Cdt.

In this webinar, you will be introduced to the capabilities and applications of Autonomous Valve CFD app for control valve performance simulation.

Conducted on Thursday, January 31st 2019

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