Posts tagged with autonomous-valve-cfd | simulationHub Blog

The 4th industrial revolution is upon us. We are witnessing the convergence of AI, generative design, VR, AR, additive manufacturing, IoT and many advanced technologies. We are witnessing the new era of product design and engineering. This blog summarizes how these technologies are changing the environment of valve design and engineering and helps through some light on how valve manufacturers can use them to create a unique position in the market.

Butterfly valves are a primary selection in case of shut-off application. It is known for its high-performance in fluid flow industry. Actuators are a very crucial part of the complete valve assembly and costs about 30 to 40% of total package cost. The selection of actuator depends on many factors, but most importantly on torque requirement. This blog discusses the hydrodynamic torque behavior of the double offset butterfly valve. Using our Control Valve Performer app, a comparative study is done to understand the hydrodynamic torque and how it behaves in case if flow direction is reversed. Get the insight into butterfly valve hydrodynamic torque for seat and shaft side flow.

Machine learning (ML) techniques are now widely being used in almost all areas of application. Six months back, CCTech Research started investigating how we may use ML in the area of Design of Mechanical Systems. One of the key application we were particularly interested is in Control Valve industry. simulationHub's Control Valve Performer app is already calculating valve performance within minutes compared to weeks in traditional CFD way. But one still yearns for a solution that could predict the flow performance in less than 5 seconds. The machine learning app developed by CCTech research team is now able to predict the value performance within seconds. Read more about the app, what went into creating the app and the app workflow.