CV_TO_K

Overview

Convert imperial valve flow coefficient (Cv) to loss coefficient (K).

Excel Usage

=CV_TO_K(Cv, D)

• Cv (float, required): Imperial Cv valve flow coefficient [gallons/minute]
• D (float, required): Inside diameter of the valve [m]

Returns (float): Loss coefficient K [-]

Examples

Example 1: Basic Cv to K conversion

Inputs:

Cv	D
2.712	0.015

Excel formula:

=CV_TO_K(2.712, 0.015)

Expected output:

Result
14.7196

Example 2: Larger Cv value

Inputs:

Cv	D
10	0.025

Excel formula:

=CV_TO_K(10, 0.025)

Expected output:

Result
8.3535

Example 3: Small valve diameter

Inputs:

Cv	D
1.5	0.01

Excel formula:

=CV_TO_K(1.5, 0.01)

Expected output:

Result
9.5045

Example 4: Large valve diameter

Inputs:

Cv	D
100	0.1

Excel formula:

=CV_TO_K(100, 0.1)

Expected output:

Result
21.385

Python Code

import micropip
await micropip.install(["fluids"])
from fluids.fittings import Cv_to_K as fluids_cv_to_k

def cv_to_k(Cv, D):
    """
    Convert imperial valve flow coefficient (Cv) to loss coefficient (K).

    See: https://fluids.readthedocs.io/fluids.fittings.html#fluids.fittings.Cv_to_K

    This example function is provided as-is without any representation of accuracy.

    Args:
        Cv (float): Imperial Cv valve flow coefficient [gallons/minute]
        D (float): Inside diameter of the valve [m]

    Returns:
        float: Loss coefficient K [-]
    """
    try:
        Cv = float(Cv)
        D = float(D)
    except (ValueError, TypeError):
        return "Error: Cv and D must be numbers."

    if Cv <= 0:
        return "Error: Cv must be positive."
    if D <= 0:
        return "Error: D must be positive."

    try:
        result = fluids_cv_to_k(Cv=Cv, D=D)
        return float(result)
    except Exception as e:
        return f"Error: {str(e)}"

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