NU_BRINGER_SMITH
This function computes the Nusselt number for turbulent internal flow near supercritical conditions using the Bringer-Smith empirical correlation. The model relates heat transfer to Reynolds and Prandtl numbers evaluated at the reference and wall-property states.
Nu = C\,Re^{m}Pr^{n}
Excel Usage
=NU_BRINGER_SMITH(Re, Pr)
Re(float, required): Reynolds number with reference properties (-).Pr(float, required): Prandtl number with wall properties (-).
Returns (float): Nusselt number with reference temperature properties (-).
Example 1: Bringer-Smith example
Inputs:
| Re | Pr |
|---|---|
| 100000 | 1.2 |
Excel formula:
=NU_BRINGER_SMITH(100000, 1.2)
Expected output:
208.176
Example 2: Bringer-Smith lower Reynolds number
Inputs:
| Re | Pr |
|---|---|
| 50000 | 1 |
Excel formula:
=NU_BRINGER_SMITH(50000, 1)
Expected output:
110.43
Example 3: Bringer-Smith mid Reynolds number
Inputs:
| Re | Pr |
|---|---|
| 200000 | 0.8 |
Excel formula:
=NU_BRINGER_SMITH(200000, 0.8)
Expected output:
284.037
Example 4: Bringer-Smith higher Reynolds number
Inputs:
| Re | Pr |
|---|---|
| 800000 | 1.5 |
Excel formula:
=NU_BRINGER_SMITH(800000, 1.5)
Expected output:
1167.11
Python Code
Show Code
from ht.conv_supercritical import Nu_Bringer_Smith as ht_Nu_Bringer_Smith
def Nu_Bringer_Smith(Re, Pr):
"""
Calculate Nusselt number for near-supercritical flow using the Bringer-Smith correlation.
See: https://ht.readthedocs.io/en/latest/ht.conv_supercritical.html
This example function is provided as-is without any representation of accuracy.
Args:
Re (float): Reynolds number with reference properties (-).
Pr (float): Prandtl number with wall properties (-).
Returns:
float: Nusselt number with reference temperature properties (-).
"""
try:
return ht_Nu_Bringer_Smith(Re=Re, Pr=Pr)
except Exception as e:
return f"Error: {str(e)}"Online Calculator
Reynolds number with reference properties (-).
Prandtl number with wall properties (-).