Adding New Valves to Database

Learn how to add new check valve information to the FluidFlow database, including K, KF, and ideal check valve options with minimum open velocity.


 

Introduction

In FluidFlow, adding new check valve information to the database ensures accurate simulation of system performance. Check valves can be defined using K or KF values, or by selecting the Ideal Check option. This flexibility allows users to model different valve types and operational behaviors for various engineering scenarios.

 


 

Main Content

Overview | 0:03 – 0:05

Adding new check valve information to the database can be performed directly within the component data library.

 

Defining by K or KF Values | 0:05 – 0:13

Check valves are typically defined by either their K or KF values, which represent the resistance characteristics of the valve.

 

Ideal Check Option | 0:13 – 0:17

An option to use Ideal Check is also available for situations where a perfect check valve behavior is assumed.

 

Minimum Open Velocity | 0:17 – 0:30

If a K or KF value is applied, users must specify the Minimum Open Velocity — the required fluid velocity for the check valve to fully open.

 


 

Step-by-Step Instructions

  1. Open the FluidFlow Database tool.
  2. Navigate to Check Valve Components.
  3. Click Add New Entry.
  4. Enter the valve’s K or KF value, or select Ideal Check from the dropdown.
  5. If using K or KF, specify the Minimum Open Velocity value.
  6. Save the entry to make it available for future modeling.

 


FAQs

Q1: When should I use the Ideal Check option?

A: Use Ideal Check when you want to model a check valve that opens instantly with no resistance.

 

Q2: What happens if I enter an incorrect K or KF value?

A: It may cause inaccurate pressure drop and flow rate calculations, affecting the overall system design.

 


 

Conclusion

Accurate check valve data in the FluidFlow database is crucial for reliable flow simulations. Selecting the right input method — K, KF, or Ideal Check — ensures your model closely matches real-world conditions. Properly defining check valve characteristics in FluidFlow ensures precise system behavior modeling, reducing design risks and improving performance predictions.