The current global pandemic of coronavirus (Covid-19) has created many questions on the spread of the virus in closed rooms and the role played by HVAC systems in its transmission. Although many government authorities have provided guidelines on social distancing and preventive measures, the question remains, "Are the currently installed HVAC systems, which are designed to provide thermal comfort, capable of preventing the transmission of the virus?" Computational Fluid Dynamics (CFD) can provide the solution by providing insights on airflow behavior and contamination travel inside the closed space.
This webinar presents two case studies on how improved HVAC ventilation strategies can reduce the transmission of contaminants in closed spaces. Today, our healthcare workers are on the frontline in the fight against the Covid-19 pandemic. As they work closely with the infected patients, their safety is of utmost importance! So, we have a case study for you wherein we show the airflow behavior inside a rapid deployment isolation room. Working in office spaces is going to be inevitable when the Covid-19 pandemic ends. While doing so, it will be necessary to ensure that the HVAC system does not spread the contaminants amongst the employees. Our case studies show you how indoor ventilation can be improved using better HVAC systems and solutions such as air purifiers.
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.
Understanding flow through the valve is essential in optimum valve design. CFD helps in predicting the valve performance and gives a 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 has become possible through a cloud-based CFD app, with a reduced need for producing physical prototypes.
simulationHub's Autonomous Valve CFD (AVC) is a cloud-based app for predicting the performance of valves using fluid flow simulations. The app provides a 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.
Predicting occupant thermal comfort for indoor spaces using Autonomous HVAC CFD.
simulationHub has recently launched the technology preview of our upcoming web-app Autonomous HVAC CFD. This new web app will enable its users to perform thousands of HVAC CFD simulations autonomously, explore the entire design space and evaluate the occupant thermal comfort for multiple HVAC design configurations and several thermal load scenarios.
The current technology preview demonstrates an array of 210 CFD simulations performed for an indoor office space with multiple rooms. It presents the ability of the app to provide comparative occupant thermal plots such as PMV & PPD for different air-side systems and seasonal requirements throughout the year.
In this webinar, we introduced the Autonomous HVAC CFD app to the participants and presented a live demonstration of the technology preview.
Webinar 1 : Demo and guidelines for valve designers
Team IVDC conducted a webinar for the participants and aspiring valve designers of IVDC 2019. The webinar provided a LIVE demo of Autonomous Valve CFD app to the competition participants and guided for all their queries.
Webinar 2 : Discussion on participant issues and queries
It's been an amazing response from IVDC-2019 participants so far. Answering the genuine questions from valve designers and students, team IVDC came up with the live Q&A session inclusive of the app demo for the participants.
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.