Are you looking for an effective and quick method to predict and optimize valve performance parameters of valves? Look no further than Autonomous Valve CFD!
Autonomous Valve CFD
Valves play a crucial role in modern manufacturing industries, controlling the flow rate by manipulating the amount of open passage available for fluid flow. Accurate and quick estimation of valve performance parameters during the design stage is critical for the success and industrial acceptance of a valve. Computational Fluid Dynamics (CFD) is an effective, quick, and accurate method to predict various valve performance parameters during both design and operating stages of a valve
The Autonomous Valve CFD app removes all limitations associated with CFD, including the complexity of valve geometry, required CFD expertise, and compute power and time required for analysis. With the fully customized workflow, the app takes known inputs from the designer and provides flow performance data such as Cv, Kv, K, and Cdt, as well as visualization tools to see the fluid behavior inside the valve along with a ready-to-use valve performance report, which is auto-generated within minutes. The app utilizes the highly-regarded ANSI/ISA standard to conduct virtual flow loop testing simulations, providing our users with unparalleled accuracy and reliability in predicting valve performance parameters.Using the fleet of cloud computing clusters, the app helps designers to evaluate different design variations and operating scenarios, providing valuable insights into valve performance.
AVC Results
Don't miss out on the opportunity to revolutionize your valve design process with Autonomous Valve CFD! Schedule a meeting with our expert today and discover how this powerful app can save you time, increase your accuracy, and take your valve performance to the next level.
Click the link below to schedule a meeting with our experts and take the first step towards enhancing your valve simulations today!
Manish is a Technical Sales Engineer at Centre for Computational Technologies Private Limited (CCTech). At CCTech he is keenly interested in learning the upcoming new technologies in the field of Computational Fluid Dynamics and Machine Learning. His areas of interest are Comput-Aided-Engineering, and Fluid Mechanics. He holds a Bachelor's degree in Mechanical Engineering from Savitribai Phule Pune University. Studying Cosmology and reading books are some of his hobbies.
Manish Kamath
Manish is a Technical Sales Engineer at Centre for Computational Technologies Private Limited (CCTech). At CCTech he is keenly interested in learning the upcoming new technologies in the field of Computational Fluid Dynamics and Machine Learning. His areas of interest are Comput-Aided-Engineering, and Fluid Mechanics. He holds a Bachelor's degree in Mechanical Engineering from Savitribai Phule Pune University. Studying Cosmology and reading books are some of his hobbies.