Liquid Pressure Recovery Factor Prediction using Autonomous Valve CFD

Liquid Pressure Recovery Factor (FL) Prediction using Autonomous Valve CFD

Join this webinar to learn how Autonomous Valve CFD enables accurate prediction of the liquid pressure recovery factor (FL) by capturing cavitation behavior and choked flow conditions through advanced CFD simulations—helping engineers optimize valve performance without extensive physical testing.

Whether you’re a valve design engineer, R&D professional, or simulation specialist, this session will equip you with practical knowledge and a live demo of AVC in action.

Thursday, April 28th 2026

8:00 PM (IST) | 9:30 AM (EST)

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Overview
The liquid pressure recovery factor (FL) is a critical parameter in valve design, governing flow capacity under choked flow conditions and directly influencing cavitation performance, pressure recovery, and overall valve reliability. Since FL depends heavily on the internal geometry of the valve, accurately predicting it is essential for designing efficient and robust flow control solutions.
Traditionally, determining (FL) requires extensive flow loop testing as defined in ANSI/ISA-75.02.01 standards. While reliable, these experimental methods are time-consuming, costly, and offer limited visibility into internal flow phenomena such as pressure distribution and cavitation inception. Designers often rely on limited data points, making it difficult to fully optimize valve geometry and flow paths. However, conventional CFD workflows, while insightful, require significant expertise, complex setup, and high computational resources, restricting their widespread adoption.
This upcoming technical webinar focuses on how Autonomous Valve CFD simplifies and automates the prediction of (FL) through validated simulation workflows. Using advanced simulation techniques to capture flow behavior and cavitation characteristics, the platform enables accurate, fast, and scalable analysis—empowering engineers to make informed design decisions and optimize valve performance.
What You’ll Learn
  • Understand the significance of liquid pressure recovery factor (FL) and its impact on cavitation and valve performance.
  • Learn how CFD is used to determine flow capacity, incipient cavitation, and choked flow conditions.
  • Explore how Autonomous Valve CFD automates simulations for accurate (FL) prediction.
Who should attend?
  • Valve Design Engineers looking to improve cavitation performance and optimize valve geometry.
  • Valve Manufacturers aiming to reduce dependence on physical testing and accelerate product development.
  • CFD Engineers interested in automated, cloud-based CFD workflows.
Featured Speakers
Webinar speaker - Akshay Dorle

Akshay Dorle

Business Manager - simulationHub

Akshay is the Business Manager for Autonomous Valve CFD (AVC) at simulationHub, CCTech’s specialized CFD platform for valve design and analysis. With over three years of experience at CCTech, he now leads client engagement, technical guidance, and product support for AVC. Akshay works closely with valve manufacturers and engineering teams to ensure successful adoption and meaningful results. He holds a Master’s degree in Mechanical Engineering from NIT Silchar and combines deep CFD knowledge with a strong focus on customer success and product growth. Akshay handles everything from client onboarding and technical discussions to product support and long-term relationship building