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Performance Evaluation of V-Port Ball Valves using Autonomous Valve CFD
V-Port ball valves play a crucial role in industries that require precise fluid flow control. Join this webinar to learn how Autonomous Valve CFD helps in evaluating and optimizing the performance of V-Port ball valves, offering fast, accurate simulations without requiring deep CFD expertise.
Conducted on Thursday, November 6th 2025
Watch on demand (55:59 min)
Overview
V-Port ball valves play a crucial role in industries that require precise fluid flow control, such as process industries, HVAC systems, and chemical applications. The flow characteristics of these valves are heavily influenced by the degree of the V-notch (15°, 30°, 45°, 60°, or 90°), which impacts their performance in different operational conditions. Understanding how these valves behave under varying conditions is key to achieving optimal control and efficiency in any system.
CFD simulations are invaluable for valve designers in the early stages of development, providing detailed analysis without the need for physical prototypes. However, traditional CFD methods often require substantial computational power and specialized knowledge, making them difficult to implement regularly. Autonomous Valve CFD addresses this challenge by offering a cloud-based solution that delivers fast and accurate simulations without requiring expert-level CFD skills.
In this webinar, we will discuss how the Autonomous Valve CFD app helps in evaluating and optimizing the performance of V-Port ball valves, offering fast, accurate simulations without requiring deep CFD expertise. Attendees will gain a deeper understanding of how CFD simulation using the AVC app can enhance the design process for V-Port ball valves, ultimately leading to better performance and cost-effective solutions.
Who Should Attend?
- Valve Design Engineers seeking to optimize valve performance and streamline the design process
- Valve Manufacturers aiming to accelerate product development and reduce time-to-market
- CFD Practitioners interested in boosting productivity and leveraging AI-powered cloud-based simulation tools
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