Conv External
Overview
External forced convection describes heat transfer from a surface to a moving fluid when the flow is imposed by pumps, fans, or free-stream velocity rather than buoyancy. In thermal design, this category is central for estimating surface coefficients on cylinders and flat plates used in heat exchangers, piping, and exposed equipment. The governing behavior is commonly framed through forced convection, where velocity, fluid properties, and geometry determine boundary-layer development. These tools convert Reynolds- and Prandtl-based operating conditions into practical Nusselt-number estimates for rating and preliminary sizing.
The shared framework is dimensionless transport scaling, especially Nu=\frac{hL}{k}, Re=\frac{\rho uL}{\mu}, and Pr=\frac{\nu}{\alpha}. Cylinder and plate correlations in this set are empirical or semi-empirical expressions that span laminar, transitional, and turbulent ranges with different property-evaluation conventions (bulk, film, or wall-corrected forms). Method-selection utilities support robust workflows by exposing valid correlations for a given state before computing a final value.
Implementation is provided by the Python ht library, specifically ht.conv_external, which packages published heat-transfer correlations behind consistent interfaces for engineering calculations.
For crossflow over single cylinders, NU_CYL_CB, NU_CYL_PL62, NU_CYL_PL64, NU_CYL_SG, NU_CYL_WHITAKER, NU_CYL_ZUKAUSKAS, NU_CYLINDER_FAND, and NU_CYLINDER_MCADAMS provide direct correlation choices with different calibration datasets and correction styles. In practice, these are used when a project standard, handbook citation, or validity range requires a specific formula. The first-pass selector NU_EXT_CYL chooses an appropriate cylinder method from inputs, while NU_EXT_CYL_METHODS returns available candidates for traceable method screening.
For external flow over horizontal plates, NU_EXT_HORZ_PLATE serves as the main interface and combines laminar/turbulent handling with a transition Reynolds threshold. NU_EXT_HORZ_METHODS lists applicable options for the specified regime and properties. The explicit laminar correlations NU_HORZ_LAM_BAEHR and NU_HORZ_LAM_COZOE are useful for low-Re boundary layers, while NU_HORZ_TURB_KREITH and NU_HORZ_TURB_SCHL target turbulent plate convection at higher Reynolds numbers. Together, these functions support both quick default estimates and detailed, standards-aligned correlation studies.
NU_CYL_CB
This function computes the average Nusselt number for forced crossflow over a single cylinder using the Churchill-Bernstein correlation. It uses Reynolds and Prandtl numbers evaluated at film temperature and provides a unified expression spanning broad laminar-to-turbulent conditions.
Nu_D = 0.3 + \frac{0.62 Re_D^{1/2} Pr^{1/3}}{\left[1 + (0.4/Pr)^{2/3}\right]^{1/4}}\left[1 + \left(\frac{Re_D}{282000}\right)^{5/8}\right]^{4/5}
Excel Usage
=NU_CYL_CB(Re, Pr)
Re(float, required): Reynolds number with respect to cylinder diameter (-).Pr(float, required): Prandtl number at film temperature (-).
Returns (float): Nusselt number with respect to cylinder diameter (-).
Example 1: Churchill-Bernstein example case
Inputs:
| Re | Pr |
|---|---|
| 6071 | 0.7 |
Excel formula:
=NU_CYL_CB(6071, 0.7)
Expected output:
40.6371
Example 2: Low Reynolds number in air
Inputs:
| Re | Pr |
|---|---|
| 120 | 0.71 |
Excel formula:
=NU_CYL_CB(120, 0.71)
Expected output:
5.65356
Example 3: Mid Reynolds number in water
Inputs:
| Re | Pr |
|---|---|
| 25000 | 4 |
Excel formula:
=NU_CYL_CB(25000, 4)
Expected output:
174.054
Example 4: High Reynolds number in oil
Inputs:
| Re | Pr |
|---|---|
| 200000 | 60 |
Excel formula:
=NU_CYL_CB(200000, 60)
Expected output:
1727.58
Python Code
Show Code
from ht.conv_external import Nu_cylinder_Churchill_Bernstein as ht_Nu_cylinder_Churchill_Bernstein
def Nu_cyl_CB(Re, Pr):
"""
Calculate the Nusselt number for crossflow across a single cylinder using the Churchill-Bernstein correlation.
See: https://ht.readthedocs.io/en/latest/ht.conv_external.html
This example function is provided as-is without any representation of accuracy.
Args:
Re (float): Reynolds number with respect to cylinder diameter (-).
Pr (float): Prandtl number at film temperature (-).
Returns:
float: Nusselt number with respect to cylinder diameter (-).
"""
try:
return ht_Nu_cylinder_Churchill_Bernstein(Re=Re, Pr=Pr)
except Exception as e:
return f"Error: {str(e)}"Online Calculator
NU_CYL_PL62
This function computes the average Nusselt number for forced crossflow over a single cylinder using the 1962 Perkins-Leppert correlation. Reynolds and Prandtl numbers are taken at free-stream conditions, and an optional viscosity-ratio correction is applied when both viscosities are provided.
Nu = \left(0.30Re^{0.5} + 0.10Re^{0.67}\right)Pr^{0.4}\left(\frac{\mu}{\mu_w}\right)^{0.25}
Excel Usage
=NU_CYL_PL62(Re, Pr, mu, muw)
Re(float, required): Reynolds number with respect to cylinder diameter (-).Pr(float, required): Prandtl number at free stream temperature (-).mu(float, optional, default: null): Viscosity at free stream temperature (Pa*s).muw(float, optional, default: null): Viscosity at wall temperature (Pa*s).
Returns (float): Nusselt number with respect to cylinder diameter (-).
Example 1: Perkins-Leppert 1962 example case
Inputs:
| Re | Pr |
|---|---|
| 6071 | 0.7 |
Excel formula:
=NU_CYL_PL62(6071, 0.7)
Expected output:
49.9716
Example 2: Perkins-Leppert 1962 with viscosity correction
Inputs:
| Re | Pr | mu | muw |
|---|---|---|---|
| 15000 | 2.5 | 0.0011 | 0.0007 |
Excel formula:
=NU_CYL_PL62(15000, 2.5, 0.0011, 0.0007)
Expected output:
160.794
Example 3: Perkins-Leppert 1962 at low Reynolds
Inputs:
| Re | Pr |
|---|---|
| 200 | 1 |
Excel formula:
=NU_CYL_PL62(200, 1)
Expected output:
7.72353
Example 4: Perkins-Leppert 1962 at high Prandtl
Inputs:
| Re | Pr |
|---|---|
| 50000 | 20 |
Excel formula:
=NU_CYL_PL62(50000, 20)
Expected output:
688.701
Python Code
Show Code
from ht.conv_external import Nu_cylinder_Perkins_Leppert_1962 as ht_Nu_cylinder_Perkins_Leppert_1962
def Nu_cyl_PL62(Re, Pr, mu=None, muw=None):
"""
Calculate the Nusselt number for crossflow across a single cylinder using the Perkins-Leppert 1962 correlation.
See: https://ht.readthedocs.io/en/latest/ht.conv_external.html
This example function is provided as-is without any representation of accuracy.
Args:
Re (float): Reynolds number with respect to cylinder diameter (-).
Pr (float): Prandtl number at free stream temperature (-).
mu (float, optional): Viscosity at free stream temperature (Pa*s). Default is None.
muw (float, optional): Viscosity at wall temperature (Pa*s). Default is None.
Returns:
float: Nusselt number with respect to cylinder diameter (-).
"""
try:
return ht_Nu_cylinder_Perkins_Leppert_1962(Re=Re, Pr=Pr, mu=mu, muw=muw)
except Exception as e:
return f"Error: {str(e)}"Online Calculator
NU_CYL_PL64
This function computes the average Nusselt number for forced crossflow over a single cylinder using the 1964 Perkins-Leppert update. Reynolds and Prandtl numbers are evaluated at free-stream conditions, with an optional viscosity-ratio wall correction.
Nu = \left(0.31Re^{0.5} + 0.11Re^{0.67}\right)Pr^{0.4}\left(\frac{\mu}{\mu_w}\right)^{0.25}
Excel Usage
=NU_CYL_PL64(Re, Pr, mu, muw)
Re(float, required): Reynolds number with respect to cylinder diameter (-).Pr(float, required): Prandtl number at free stream temperature (-).mu(float, optional, default: null): Viscosity at free stream temperature (Pa*s).muw(float, optional, default: null): Viscosity at wall temperature (Pa*s).
Returns (float): Nusselt number with respect to cylinder diameter (-).
Example 1: Perkins-Leppert 1964 example case
Inputs:
| Re | Pr |
|---|---|
| 6071 | 0.7 |
Excel formula:
=NU_CYL_PL64(6071, 0.7)
Expected output:
53.6177
Example 2: Perkins-Leppert 1964 with viscosity correction
Inputs:
| Re | Pr | mu | muw |
|---|---|---|---|
| 22000 | 3 | 0.0014 | 0.0009 |
Excel formula:
=NU_CYL_PL64(22000, 3, 0.0014, 0.0009)
Expected output:
234.44
Example 3: Perkins-Leppert 1964 at low Reynolds
Inputs:
| Re | Pr |
|---|---|
| 1500 | 1.2 |
Excel formula:
=NU_CYL_PL64(1500, 1.2)
Expected output:
28.8017
Example 4: Perkins-Leppert 1964 at high Prandtl
Inputs:
| Re | Pr |
|---|---|
| 80000 | 15 |
Excel formula:
=NU_CYL_PL64(80000, 15)
Expected output:
885.495
Python Code
Show Code
from ht.conv_external import Nu_cylinder_Perkins_Leppert_1964 as ht_Nu_cylinder_Perkins_Leppert_1964
def Nu_cyl_PL64(Re, Pr, mu=None, muw=None):
"""
Calculate the Nusselt number for crossflow across a single cylinder using the Perkins-Leppert 1964 correlation.
See: https://ht.readthedocs.io/en/latest/ht.conv_external.html
This example function is provided as-is without any representation of accuracy.
Args:
Re (float): Reynolds number with respect to cylinder diameter (-).
Pr (float): Prandtl number at free stream temperature (-).
mu (float, optional): Viscosity at free stream temperature (Pa*s). Default is None.
muw (float, optional): Viscosity at wall temperature (Pa*s). Default is None.
Returns:
float: Nusselt number with respect to cylinder diameter (-).
"""
try:
return ht_Nu_cylinder_Perkins_Leppert_1964(Re=Re, Pr=Pr, mu=mu, muw=muw)
except Exception as e:
return f"Error: {str(e)}"Online Calculator
NU_CYL_SG
This function computes the average Nusselt number for forced crossflow over a single cylinder using the Sanitjai-Goldstein formulation. The correlation combines two Reynolds-number-dependent terms and is intended for Reynolds and Prandtl numbers evaluated at film temperature.
Nu = 0.446Re^{0.5}Pr^{0.35} + 0.528\left[(6.5e^{Re/5000})^{-5} + (0.031Re^{0.8})^{-5}\right]^{-1/5}Pr^{0.42}
Excel Usage
=NU_CYL_SG(Re, Pr)
Re(float, required): Reynolds number with respect to cylinder diameter (-).Pr(float, required): Prandtl number at film temperature (-).
Returns (float): Nusselt number with respect to cylinder diameter (-).
Example 1: Sanitjai-Goldstein example case
Inputs:
| Re | Pr |
|---|---|
| 6071 | 0.7 |
Excel formula:
=NU_CYL_SG(6071, 0.7)
Expected output:
40.3833
Example 2: Sanitjai-Goldstein in air
Inputs:
| Re | Pr |
|---|---|
| 15000 | 0.71 |
Excel formula:
=NU_CYL_SG(15000, 0.71)
Expected output:
79.2948
Example 3: Sanitjai-Goldstein in water
Inputs:
| Re | Pr |
|---|---|
| 25000 | 5 |
Excel formula:
=NU_CYL_SG(25000, 5)
Expected output:
230.012
Example 4: Sanitjai-Goldstein in glycol mixture
Inputs:
| Re | Pr |
|---|---|
| 8000 | 50 |
Excel formula:
=NU_CYL_SG(8000, 50)
Expected output:
240.333
Python Code
Show Code
from ht.conv_external import Nu_cylinder_Sanitjai_Goldstein as ht_Nu_cylinder_Sanitjai_Goldstein
def Nu_cyl_SG(Re, Pr):
"""
Calculate the Nusselt number for crossflow across a single cylinder using the Sanitjai-Goldstein correlation.
See: https://ht.readthedocs.io/en/latest/ht.conv_external.html
This example function is provided as-is without any representation of accuracy.
Args:
Re (float): Reynolds number with respect to cylinder diameter (-).
Pr (float): Prandtl number at film temperature (-).
Returns:
float: Nusselt number with respect to cylinder diameter (-).
"""
try:
return ht_Nu_cylinder_Sanitjai_Goldstein(Re=Re, Pr=Pr)
except Exception as e:
return f"Error: {str(e)}"Online Calculator
NU_CYL_WHITAKER
This function computes the average Nusselt number for forced crossflow over a single cylinder using the Whitaker correlation. Reynolds and Prandtl numbers are evaluated at free-stream conditions, and an optional viscosity-ratio correction is included when viscosities are supplied.
Nu_D = \left(0.4Re_D^{0.5} + 0.06Re_D^{2/3}\right)Pr^{0.4}\left(\frac{\mu}{\mu_w}\right)^{0.25}
Excel Usage
=NU_CYL_WHITAKER(Re, Pr, mu, muw)
Re(float, required): Reynolds number with respect to cylinder diameter (-).Pr(float, required): Prandtl number at free stream temperature (-).mu(float, optional, default: null): Viscosity at free stream temperature (Pa*s).muw(float, optional, default: null): Viscosity at wall temperature (Pa*s).
Returns (float): Nusselt number with respect to cylinder diameter (-).
Example 1: Whitaker example case
Inputs:
| Re | Pr |
|---|---|
| 6071 | 0.7 |
Excel formula:
=NU_CYL_WHITAKER(6071, 0.7)
Expected output:
45.9453
Example 2: Whitaker with viscosity correction
Inputs:
| Re | Pr | mu | muw |
|---|---|---|---|
| 18000 | 2 | 0.0012 | 0.0008 |
Excel formula:
=NU_CYL_WHITAKER(18000, 2, 0.0012, 0.0008)
Expected output:
129.266
Example 3: Whitaker at low Reynolds
Inputs:
| Re | Pr |
|---|---|
| 50 | 1 |
Excel formula:
=NU_CYL_WHITAKER(50, 1)
Expected output:
3.64275
Example 4: Whitaker at high Prandtl
Inputs:
| Re | Pr |
|---|---|
| 40000 | 25 |
Excel formula:
=NU_CYL_WHITAKER(40000, 25)
Expected output:
394.443
Python Code
Show Code
from ht.conv_external import Nu_cylinder_Whitaker as ht_Nu_cylinder_Whitaker
def Nu_cyl_Whitaker(Re, Pr, mu=None, muw=None):
"""
Calculate the Nusselt number for crossflow across a single cylinder using the Whitaker correlation.
See: https://ht.readthedocs.io/en/latest/ht.conv_external.html
This example function is provided as-is without any representation of accuracy.
Args:
Re (float): Reynolds number with respect to cylinder diameter (-).
Pr (float): Prandtl number at free stream temperature (-).
mu (float, optional): Viscosity at free stream temperature (Pa*s). Default is None.
muw (float, optional): Viscosity at wall temperature (Pa*s). Default is None.
Returns:
float: Nusselt number with respect to cylinder diameter (-).
"""
try:
return ht_Nu_cylinder_Whitaker(Re=Re, Pr=Pr, mu=mu, muw=muw)
except Exception as e:
return f"Error: {str(e)}"Online Calculator
NU_CYL_ZUKAUSKAS
This function computes the average Nusselt number for forced crossflow over a single cylinder using the Zukauskas correlation. It selects empirical coefficients by Reynolds-number regime and optionally applies a wall-to-bulk Prandtl correction when wall Prandtl number is provided.
Nu_D = CRe^{m}Pr^{n}\left(\frac{Pr}{Pr_w}\right)^{1/4}
Excel Usage
=NU_CYL_ZUKAUSKAS(Re, Pr, Prw)
Re(float, required): Reynolds number with respect to cylinder diameter (-).Pr(float, required): Prandtl number at free stream temperature (-).Prw(float, optional, default: null): Prandtl number at wall temperature (-).
Returns (float): Nusselt number with respect to cylinder diameter (-).
Example 1: Zukauskas example case
Inputs:
| Re | Pr | Prw |
|---|---|---|
| 7992 | 0.707 | 0.69 |
Excel formula:
=NU_CYL_ZUKAUSKAS(7992, 0.707, 0.69)
Expected output:
50.5236
Example 2: Zukauskas without wall Prandtl
Inputs:
| Re | Pr | Prw |
|---|---|---|
| 6000 | 0.7 |
Excel formula:
=NU_CYL_ZUKAUSKAS(6000, 0.7, )
Expected output:
42.126
Example 3: Zukauskas in laminar range
Inputs:
| Re | Pr |
|---|---|
| 30 | 1.1 |
Excel formula:
=NU_CYL_ZUKAUSKAS(30, 1.1)
Expected output:
3.02848
Example 4: Zukauskas in turbulent range
Inputs:
| Re | Pr |
|---|---|
| 300000 | 0.9 |
Excel formula:
=NU_CYL_ZUKAUSKAS(300000, 0.9)
Expected output:
498.733
Python Code
Show Code
from ht.conv_external import Nu_cylinder_Zukauskas as ht_Nu_cylinder_Zukauskas
def Nu_cyl_Zukauskas(Re, Pr, Prw=None):
"""
Calculate the Nusselt number for crossflow across a single cylinder using the Zukauskas correlation.
See: https://ht.readthedocs.io/en/latest/ht.conv_external.html
This example function is provided as-is without any representation of accuracy.
Args:
Re (float): Reynolds number with respect to cylinder diameter (-).
Pr (float): Prandtl number at free stream temperature (-).
Prw (float, optional): Prandtl number at wall temperature (-). Default is None.
Returns:
float: Nusselt number with respect to cylinder diameter (-).
"""
try:
return ht_Nu_cylinder_Zukauskas(Re=Re, Pr=Pr, Prw=Prw)
except Exception as e:
return f"Error: {str(e)}"Online Calculator
NU_CYLINDER_FAND
This function computes the average Nusselt number for forced crossflow over a single cylinder using the Fand empirical correlation. Inputs are Reynolds and Prandtl numbers at film temperature.
Nu = \left(0.35 + 0.34Re^{0.5} + 0.15Re^{0.58}\right)Pr^{0.3}
Excel Usage
=NU_CYLINDER_FAND(Re, Pr)
Re(float, required): Reynolds number with respect to cylinder diameter (-).Pr(float, required): Prandtl number at film temperature (-).
Returns (float): Nusselt number with respect to cylinder diameter (-).
Example 1: Fand example case
Inputs:
| Re | Pr |
|---|---|
| 6071 | 0.7 |
Excel formula:
=NU_CYLINDER_FAND(6071, 0.7)
Expected output:
45.1998
Example 2: Small Reynolds number in liquid
Inputs:
| Re | Pr |
|---|---|
| 80 | 5 |
Excel formula:
=NU_CYLINDER_FAND(80, 5)
Expected output:
8.583
Example 3: Moderate Reynolds number in gas
Inputs:
| Re | Pr |
|---|---|
| 12000 | 0.72 |
Excel formula:
=NU_CYLINDER_FAND(12000, 0.72)
Expected output:
65.6326
Example 4: High Reynolds number in water
Inputs:
| Re | Pr |
|---|---|
| 90000 | 3.2 |
Excel formula:
=NU_CYLINDER_FAND(90000, 3.2)
Expected output:
303.979
Python Code
Show Code
from ht.conv_external import Nu_cylinder_Fand as ht_Nu_cylinder_Fand
def Nu_cylinder_Fand(Re, Pr):
"""
Calculate the Nusselt number for crossflow across a single cylinder using the Fand correlation.
See: https://ht.readthedocs.io/en/latest/ht.conv_external.html
This example function is provided as-is without any representation of accuracy.
Args:
Re (float): Reynolds number with respect to cylinder diameter (-).
Pr (float): Prandtl number at film temperature (-).
Returns:
float: Nusselt number with respect to cylinder diameter (-).
"""
try:
return ht_Nu_cylinder_Fand(Re=Re, Pr=Pr)
except Exception as e:
return f"Error: {str(e)}"Online Calculator
NU_CYLINDER_MCADAMS
This function computes the average Nusselt number for forced crossflow over a single cylinder using the McAdams correlation. It takes Reynolds and Prandtl numbers evaluated at film temperature.
Nu = \left(0.35 + 0.56Re^{0.52}\right)Pr^{0.3}
Excel Usage
=NU_CYLINDER_MCADAMS(Re, Pr)
Re(float, required): Reynolds number with respect to cylinder diameter (-).Pr(float, required): Prandtl number at film temperature (-).
Returns (float): Nusselt number with respect to cylinder diameter (-).
Example 1: McAdams example case
Inputs:
| Re | Pr |
|---|---|
| 6071 | 0.7 |
Excel formula:
=NU_CYLINDER_MCADAMS(6071, 0.7)
Expected output:
46.9818
Example 2: Low Reynolds number in oil
Inputs:
| Re | Pr |
|---|---|
| 150 | 80 |
Excel formula:
=NU_CYLINDER_MCADAMS(150, 80)
Expected output:
29.5313
Example 3: Mid Reynolds number in air
Inputs:
| Re | Pr |
|---|---|
| 15000 | 0.7 |
Excel formula:
=NU_CYLINDER_MCADAMS(15000, 0.7)
Expected output:
75.0083
Example 4: High Reynolds number in water
Inputs:
| Re | Pr |
|---|---|
| 75000 | 4.5 |
Excel formula:
=NU_CYLINDER_MCADAMS(75000, 4.5)
Expected output:
301.978
Python Code
Show Code
from ht.conv_external import Nu_cylinder_McAdams as ht_Nu_cylinder_McAdams
def Nu_cylinder_McAdams(Re, Pr):
"""
Calculate the Nusselt number for crossflow across a single cylinder using the McAdams correlation.
See: https://ht.readthedocs.io/en/latest/ht.conv_external.html
This example function is provided as-is without any representation of accuracy.
Args:
Re (float): Reynolds number with respect to cylinder diameter (-).
Pr (float): Prandtl number at film temperature (-).
Returns:
float: Nusselt number with respect to cylinder diameter (-).
"""
try:
return ht_Nu_cylinder_McAdams(Re=Re, Pr=Pr)
except Exception as e:
return f"Error: {str(e)}"Online Calculator
NU_EXT_CYL
This function evaluates the Nusselt number for forced crossflow over a single cylinder by selecting a specific correlation or automatically choosing a default method. Optional wall Prandtl number and viscosity terms are passed through for methods that support property-ratio corrections.
The computation follows a method-dispatch pattern:
Nu = f_{\text{method}}(Re, Pr, Pr_w, \mu, \mu_w)
Excel Usage
=NU_EXT_CYL(Re, Pr, Prw, mu, muw, Method)
Re(float, required): Reynolds number with respect to cylinder diameter (-).Pr(float, required): Prandtl number at either free stream or wall temperature (-).Prw(float, optional, default: null): Prandtl number at wall temperature (-).mu(float, optional, default: null): Viscosity at free stream temperature (Pa*s).muw(float, optional, default: null): Viscosity at wall temperature (Pa*s).Method(str, optional, default: null): Correlation method name (-).
Returns (float): Nusselt number with respect to cylinder diameter (-).
Example 1: External cylinder default method
Inputs:
| Re | Pr |
|---|---|
| 6071 | 0.7 |
Excel formula:
=NU_EXT_CYL(6071, 0.7)
Expected output:
40.3833
Example 2: External cylinder with wall Prandtl
Inputs:
| Re | Pr | Prw |
|---|---|---|
| 7992 | 0.707 | 0.69 |
Excel formula:
=NU_EXT_CYL(7992, 0.707, 0.69)
Expected output:
49.25
Example 3: External cylinder with viscosity correction inputs
Inputs:
| Re | Pr | mu | muw |
|---|---|---|---|
| 15000 | 2.5 | 0.0011 | 0.0008 |
Excel formula:
=NU_EXT_CYL(15000, 2.5, 0.0011, 0.0008)
Expected output:
127.606
Example 4: External cylinder with explicit method
Inputs:
| Re | Pr | Method |
|---|---|---|
| 12000 | 0.7 | Sanitjai-Goldstein |
Excel formula:
=NU_EXT_CYL(12000, 0.7, "Sanitjai-Goldstein")
Expected output:
67.5877
Python Code
Show Code
from ht.conv_external import Nu_external_cylinder as ht_Nu_external_cylinder
def Nu_ext_cyl(Re, Pr, Prw=None, mu=None, muw=None, Method=None):
"""
Calculate the Nusselt number for crossflow across a single cylinder using a selected correlation.
See: https://ht.readthedocs.io/en/latest/ht.conv_external.html
This example function is provided as-is without any representation of accuracy.
Args:
Re (float): Reynolds number with respect to cylinder diameter (-).
Pr (float): Prandtl number at either free stream or wall temperature (-).
Prw (float, optional): Prandtl number at wall temperature (-). Default is None.
mu (float, optional): Viscosity at free stream temperature (Pa*s). Default is None.
muw (float, optional): Viscosity at wall temperature (Pa*s). Default is None.
Method (str, optional): Correlation method name (-). Default is None.
Returns:
float: Nusselt number with respect to cylinder diameter (-).
"""
try:
return ht_Nu_external_cylinder(Re=Re, Pr=Pr, Prw=Prw, mu=mu, muw=muw, Method=Method)
except Exception as e:
return f"Error: {str(e)}"Online Calculator
NU_EXT_CYL_METHODS
This function returns the available forced-convection cylinder correlations for given Reynolds and Prandtl conditions. When range checking is enabled, only methods applicable to the supplied input domain are returned.
Conceptually, it filters the candidate set of methods:
\mathcal{M}_{\text{valid}} = \{m \in \mathcal{M} \mid \text{constraints}_m(Re, Pr, Pr_w, \mu, \mu_w)\}
Excel Usage
=NU_EXT_CYL_METHODS(Re, Pr, Prw, mu, muw, check_ranges)
Re(float, required): Reynolds number with respect to cylinder diameter (-).Pr(float, required): Prandtl number at either free stream or wall temperature (-).Prw(float, optional, default: null): Prandtl number at wall temperature (-).mu(float, optional, default: null): Viscosity at free stream temperature (Pa*s).muw(float, optional, default: null): Viscosity at wall temperature (Pa*s).check_ranges(bool, optional, default: true): Whether to return only correlations suitable for the inputs (-).
Returns (list[list]): 2D array of available correlation method names.
Example 1: Cylinder methods with default inputs
Inputs:
| Re | Pr |
|---|---|
| 0.72 | 10000000 |
Excel formula:
=NU_EXT_CYL_METHODS(0.72, 10000000)
Expected output:
| Sanitjai-Goldstein |
|---|
| Churchill-Bernstein |
| Fand |
| McAdams |
Example 2: Cylinder methods in air
Inputs:
| Re | Pr |
|---|---|
| 10000 | 0.71 |
Excel formula:
=NU_EXT_CYL_METHODS(10000, 0.71)
Expected output:
| Sanitjai-Goldstein |
|---|
| Churchill-Bernstein |
| Fand |
| McAdams |
Example 3: Cylinder methods with wall Prandtl
Inputs:
| Re | Pr | Prw |
|---|---|---|
| 8000 | 0.7 | 0.69 |
Excel formula:
=NU_EXT_CYL_METHODS(8000, 0.7, 0.69)
Expected output:
| Sanitjai-Goldstein |
|---|
| Churchill-Bernstein |
| Fand |
| McAdams |
| Zukauskas |
Example 4: Cylinder methods without range checking
Inputs:
| Re | Pr | check_ranges |
|---|---|---|
| 500000 | 1.2 | false |
Excel formula:
=NU_EXT_CYL_METHODS(500000, 1.2, FALSE)
Expected output:
| Sanitjai-Goldstein |
|---|
| Churchill-Bernstein |
| Fand |
| McAdams |
Python Code
Show Code
from ht.conv_external import Nu_external_cylinder_methods as ht_Nu_external_cylinder_methods
def Nu_ext_cyl_methods(Re, Pr, Prw=None, mu=None, muw=None, check_ranges=True):
"""
List available correlations for external cylinder forced convection.
See: https://ht.readthedocs.io/en/latest/ht.conv_external.html
This example function is provided as-is without any representation of accuracy.
Args:
Re (float): Reynolds number with respect to cylinder diameter (-).
Pr (float): Prandtl number at either free stream or wall temperature (-).
Prw (float, optional): Prandtl number at wall temperature (-). Default is None.
mu (float, optional): Viscosity at free stream temperature (Pa*s). Default is None.
muw (float, optional): Viscosity at wall temperature (Pa*s). Default is None.
check_ranges (bool, optional): Whether to return only correlations suitable for the inputs (-). Default is True.
Returns:
list[list]: 2D array of available correlation method names.
"""
try:
methods = ht_Nu_external_cylinder_methods(
Re=Re,
Pr=Pr,
Prw=Prw,
mu=mu,
muw=muw,
check_ranges=check_ranges,
)
return [[method] for method in methods]
except Exception as e:
return f"Error: {str(e)}"Online Calculator
NU_EXT_HORZ_METHODS
This function lists candidate correlations for forced convection over a horizontal plate for the provided Reynolds and Prandtl conditions. With range checking enabled, only methods that satisfy input applicability limits are returned.
The output corresponds to a filtered method set:
\mathcal{M}_{\text{valid}} = \{m \in \mathcal{M} \mid \text{range}_m(Re, Pr, L, x)\}
Excel Usage
=NU_EXT_HORZ_METHODS(Re, Pr, L, x, check_ranges)
Re(float, required): Reynolds number with respect to plate length (-).Pr(float, required): Prandtl number with respect to bulk properties (-).L(float, optional, default: null): Plate length (m).x(float, optional, default: null): Plate distance for local calculation (m).check_ranges(bool, optional, default: true): Whether to return only correlations suitable for the inputs (-).
Returns (list[list]): 2D array of available correlation method names.
Example 1: Plate methods example case
Inputs:
| Re | Pr |
|---|---|
| 10000000 | 0.7 |
Excel formula:
=NU_EXT_HORZ_METHODS(10000000, 0.7)
Expected output:
| Schlichting |
|---|
| Kreith |
Example 2: Plate methods in laminar range
Inputs:
| Re | Pr |
|---|---|
| 10000 | 0.9 |
Excel formula:
=NU_EXT_HORZ_METHODS(10000, 0.9)
Expected output:
| Baehr |
|---|
| Churchill Ozoe |
Example 3: Plate methods with length input
Inputs:
| Re | Pr | L |
|---|---|---|
| 500000 | 1.1 | 2.5 |
Excel formula:
=NU_EXT_HORZ_METHODS(500000, 1.1, 2.5)
Expected output:
| Schlichting |
|---|
| Kreith |
Example 4: Plate methods without range checking
Inputs:
| Re | Pr | check_ranges |
|---|---|---|
| 800000 | 0.72 | false |
Excel formula:
=NU_EXT_HORZ_METHODS(800000, 0.72, FALSE)
Expected output:
| Baehr |
|---|
| Churchill Ozoe |
| Schlichting |
| Kreith |
Python Code
Show Code
from ht.conv_external import Nu_external_horizontal_plate_methods as ht_Nu_external_horizontal_plate_methods
def Nu_ext_horz_methods(Re, Pr, L=None, x=None, check_ranges=True):
"""
List available correlations for forced convection across a horizontal plate.
See: https://ht.readthedocs.io/en/latest/ht.conv_external.html
This example function is provided as-is without any representation of accuracy.
Args:
Re (float): Reynolds number with respect to plate length (-).
Pr (float): Prandtl number with respect to bulk properties (-).
L (float, optional): Plate length (m). Default is None.
x (float, optional): Plate distance for local calculation (m). Default is None.
check_ranges (bool, optional): Whether to return only correlations suitable for the inputs (-). Default is True.
Returns:
list[list]: 2D array of available correlation method names.
"""
try:
methods = ht_Nu_external_horizontal_plate_methods(
Re=Re,
Pr=Pr,
L=L,
x=x,
check_ranges=check_ranges,
)
return [[method] for method in methods]
except Exception as e:
return f"Error: {str(e)}"Online Calculator
NU_EXT_HORZ_PLATE
This function computes the Nusselt number for external forced convection along a horizontal flat plate. It can use an explicitly selected correlation or automatically choose a laminar or turbulent method based on a transition Reynolds number.
In automatic mode, a piecewise method selection is used:
Nu = \begin{cases} f_{\text{lam}}(Re, Pr), & Re < Re_{\text{transition}} \\ f_{\text{turb}}(Re, Pr), & Re \ge Re_{\text{transition}} \end{cases}
Excel Usage
=NU_EXT_HORZ_PLATE(Re, Pr, L, x, Method, laminar_method, turbulent_method, Re_transition)
Re(float, required): Reynolds number with respect to plate length (-).Pr(float, required): Prandtl number with respect to bulk properties (-).L(float, optional, default: null): Plate length (m).x(float, optional, default: null): Plate distance for local calculation (m).Method(str, optional, default: null): Correlation method name (-).laminar_method(str, optional, default: “Baehr”): Preferred laminar correlation name (-).turbulent_method(str, optional, default: “Schlichting”): Preferred turbulent correlation name (-).Re_transition(float, optional, default: 500000): Reynolds number for laminar-turbulent transition (-).
Returns (float): Nusselt number with respect to plate length (-).
Example 1: Horizontal plate turbulent example
Inputs:
| Re | Pr |
|---|---|
| 10000000 | 0.7 |
Excel formula:
=NU_EXT_HORZ_PLATE(10000000, 0.7)
Expected output:
11497
Example 2: Horizontal plate laminar range
Inputs:
| Re | Pr |
|---|---|
| 80000 | 0.71 |
Excel formula:
=NU_EXT_HORZ_PLATE(80000, 0.71)
Expected output:
167.545
Example 3: Horizontal plate with explicit method
Inputs:
| Re | Pr | Method |
|---|---|---|
| 300000 | 0.9 | Baehr |
Excel formula:
=NU_EXT_HORZ_PLATE(300000, 0.9, "Baehr")
Expected output:
351.137
Example 4: Horizontal plate with custom transition
Inputs:
| Re | Pr | Re_transition |
|---|---|---|
| 600000 | 1.1 | 200000 |
Excel formula:
=NU_EXT_HORZ_PLATE(600000, 1.1, 200000)
Expected output:
1637.17
Python Code
Show Code
from ht.conv_external import Nu_external_horizontal_plate as ht_Nu_external_horizontal_plate
def Nu_ext_horz_plate(Re, Pr, L=None, x=None, Method=None, laminar_method='Baehr', turbulent_method='Schlichting', Re_transition=500000):
"""
Calculate the Nusselt number for forced convection across a horizontal plate.
See: https://ht.readthedocs.io/en/latest/ht.conv_external.html
This example function is provided as-is without any representation of accuracy.
Args:
Re (float): Reynolds number with respect to plate length (-).
Pr (float): Prandtl number with respect to bulk properties (-).
L (float, optional): Plate length (m). Default is None.
x (float, optional): Plate distance for local calculation (m). Default is None.
Method (str, optional): Correlation method name (-). Default is None.
laminar_method (str, optional): Preferred laminar correlation name (-). Default is 'Baehr'.
turbulent_method (str, optional): Preferred turbulent correlation name (-). Default is 'Schlichting'.
Re_transition (float, optional): Reynolds number for laminar-turbulent transition (-). Default is 500000.
Returns:
float: Nusselt number with respect to plate length (-).
"""
try:
return ht_Nu_external_horizontal_plate(
Re=Re,
Pr=Pr,
L=L,
x=x,
Method=Method,
laminar_method=laminar_method,
turbulent_method=turbulent_method,
Re_transition=Re_transition,
)
except Exception as e:
return f"Error: {str(e)}"Online Calculator
NU_HORZ_LAM_BAEHR
This function computes the laminar flat-plate Nusselt number using the Baehr formulation for isothermal surfaces. The correlation applies Reynolds and bulk-property Prandtl numbers and switches coefficients across Prandtl regimes.
A commonly used regime form is:
Nu_L = 0.664Re_L^{1/2}Pr^{1/3}
Excel Usage
=NU_HORZ_LAM_BAEHR(Re, Pr)
Re(float, required): Reynolds number with respect to plate length (-).Pr(float, required): Prandtl number at bulk temperature (-).
Returns (float): Nusselt number with respect to plate length (-).
Example 1: Baehr example case
Inputs:
| Re | Pr |
|---|---|
| 100000 | 0.7 |
Excel formula:
=NU_HORZ_LAM_BAEHR(100000, 0.7)
Expected output:
186.438
Example 2: Baehr at low Prandtl
Inputs:
| Re | Pr |
|---|---|
| 50000 | 0.02 |
Excel formula:
=NU_HORZ_LAM_BAEHR(50000, 0.02)
Expected output:
31.6228
Example 3: Baehr at mid Prandtl
Inputs:
| Re | Pr |
|---|---|
| 80000 | 0.8 |
Excel formula:
=NU_HORZ_LAM_BAEHR(80000, 0.8)
Expected output:
174.345
Example 4: Baehr at high Prandtl
Inputs:
| Re | Pr |
|---|---|
| 120000 | 15 |
Excel formula:
=NU_HORZ_LAM_BAEHR(120000, 15)
Expected output:
579.23
Python Code
Show Code
from ht.conv_external import Nu_horizontal_plate_laminar_Baehr as ht_Nu_horizontal_plate_laminar_Baehr
def Nu_horz_lam_Baehr(Re, Pr):
"""
Calculate the Nusselt number for laminar flow across an isothermal flat plate using the Baehr correlation.
See: https://ht.readthedocs.io/en/latest/ht.conv_external.html
This example function is provided as-is without any representation of accuracy.
Args:
Re (float): Reynolds number with respect to plate length (-).
Pr (float): Prandtl number at bulk temperature (-).
Returns:
float: Nusselt number with respect to plate length (-).
"""
try:
return ht_Nu_horizontal_plate_laminar_Baehr(Re=Re, Pr=Pr)
except Exception as e:
return f"Error: {str(e)}"Online Calculator
NU_HORZ_LAM_COZOE
This function computes the laminar flat-plate Nusselt number for an isothermal plate using the Churchill-Ozoe expression. It provides a single smooth relation over a wide Prandtl-number range.
Nu_L = \frac{0.6774Re_L^{1/2}Pr^{1/3}}{\left[1 + (0.0468/Pr)^{2/3}\right]^{1/4}}
Excel Usage
=NU_HORZ_LAM_COZOE(Re, Pr)
Re(float, required): Reynolds number with respect to plate length (-).Pr(float, required): Prandtl number at bulk temperature (-).
Returns (float): Nusselt number with respect to plate length (-).
Example 1: Churchill-Ozoe example case
Inputs:
| Re | Pr |
|---|---|
| 100000 | 0.7 |
Excel formula:
=NU_HORZ_LAM_COZOE(100000, 0.7)
Expected output:
183.086
Example 2: Churchill-Ozoe at low Prandtl
Inputs:
| Re | Pr |
|---|---|
| 60000 | 0.05 |
Excel formula:
=NU_HORZ_LAM_COZOE(60000, 0.05)
Expected output:
51.6837
Example 3: Churchill-Ozoe at mid Prandtl
Inputs:
| Re | Pr |
|---|---|
| 90000 | 0.9 |
Excel formula:
=NU_HORZ_LAM_COZOE(90000, 0.9)
Expected output:
189.912
Example 4: Churchill-Ozoe at high Prandtl
Inputs:
| Re | Pr |
|---|---|
| 110000 | 12 |
Excel formula:
=NU_HORZ_LAM_COZOE(110000, 12)
Expected output:
511.224
Python Code
Show Code
from ht.conv_external import Nu_horizontal_plate_laminar_Churchill_Ozoe as ht_Nu_horizontal_plate_laminar_Churchill_Ozoe
def Nu_horz_lam_COzoe(Re, Pr):
"""
Calculate the Nusselt number for laminar flow across an isothermal flat plate using the Churchill-Ozoe correlation.
See: https://ht.readthedocs.io/en/latest/ht.conv_external.html
This example function is provided as-is without any representation of accuracy.
Args:
Re (float): Reynolds number with respect to plate length (-).
Pr (float): Prandtl number at bulk temperature (-).
Returns:
float: Nusselt number with respect to plate length (-).
"""
try:
return ht_Nu_horizontal_plate_laminar_Churchill_Ozoe(Re=Re, Pr=Pr)
except Exception as e:
return f"Error: {str(e)}"Online Calculator
NU_HORZ_TURB_KREITH
This function computes the turbulent flat-plate Nusselt number for an isothermal plate using the Kreith correlation with Reynolds and bulk Prandtl inputs.
Nu_L = 0.036Re_L^{0.8}Pr^{1/3}
Excel Usage
=NU_HORZ_TURB_KREITH(Re, Pr)
Re(float, required): Reynolds number with respect to plate length (-).Pr(float, required): Prandtl number at bulk temperature (-).
Returns (float): Nusselt number with respect to plate length (-).
Example 1: Kreith example case
Inputs:
| Re | Pr |
|---|---|
| 1030000 | 0.71 |
Excel formula:
=NU_HORZ_TURB_KREITH(1030000, 0.71)
Expected output:
2074.87
Example 2: Kreith at mid Reynolds
Inputs:
| Re | Pr |
|---|---|
| 500000 | 0.7 |
Excel formula:
=NU_HORZ_TURB_KREITH(500000, 0.7)
Expected output:
1158.36
Example 3: Kreith at high Prandtl
Inputs:
| Re | Pr |
|---|---|
| 1500000 | 10 |
Excel formula:
=NU_HORZ_TURB_KREITH(1500000, 10)
Expected output:
6768.76
Example 4: Kreith at high Reynolds
Inputs:
| Re | Pr |
|---|---|
| 3000000 | 1.2 |
Excel formula:
=NU_HORZ_TURB_KREITH(3000000, 1.2)
Expected output:
5812.91
Python Code
Show Code
from ht.conv_external import Nu_horizontal_plate_turbulent_Kreith as ht_Nu_horizontal_plate_turbulent_Kreith
def Nu_horz_turb_Kreith(Re, Pr):
"""
Calculate the Nusselt number for turbulent flow across an isothermal flat plate using the Kreith correlation.
See: https://ht.readthedocs.io/en/latest/ht.conv_external.html
This example function is provided as-is without any representation of accuracy.
Args:
Re (float): Reynolds number with respect to plate length (-).
Pr (float): Prandtl number at bulk temperature (-).
Returns:
float: Nusselt number with respect to plate length (-).
"""
try:
return ht_Nu_horizontal_plate_turbulent_Kreith(Re=Re, Pr=Pr)
except Exception as e:
return f"Error: {str(e)}"Online Calculator
NU_HORZ_TURB_SCHL
This function computes the turbulent flat-plate Nusselt number for an isothermal plate using the Schlichting formulation, which includes a denominator correction term as a function of Reynolds and Prandtl numbers.
Nu_L = \frac{0.037Re_L^{0.8}Pr}{1 + 2.443Re_L^{-0.1}(Pr^{2/3} - 1)}
Excel Usage
=NU_HORZ_TURB_SCHL(Re, Pr)
Re(float, required): Reynolds number with respect to plate length (-).Pr(float, required): Prandtl number at bulk temperature (-).
Returns (float): Nusselt number with respect to plate length (-).
Example 1: Schlichting example case
Inputs:
| Re | Pr |
|---|---|
| 100000 | 0.7 |
Excel formula:
=NU_HORZ_TURB_SCHL(100000, 0.7)
Expected output:
309.62
Example 2: Schlichting at mid Reynolds
Inputs:
| Re | Pr |
|---|---|
| 400000 | 0.9 |
Excel formula:
=NU_HORZ_TURB_SCHL(400000, 0.9)
Expected output:
1057.72
Example 3: Schlichting at high Prandtl
Inputs:
| Re | Pr |
|---|---|
| 900000 | 8 |
Excel formula:
=NU_HORZ_TURB_SCHL(900000, 8)
Expected output:
6001.36
Example 4: Schlichting at high Reynolds
Inputs:
| Re | Pr |
|---|---|
| 2000000 | 1.1 |
Excel formula:
=NU_HORZ_TURB_SCHL(2000000, 1.1)
Expected output:
4309.28
Python Code
Show Code
from ht.conv_external import Nu_horizontal_plate_turbulent_Schlichting as ht_Nu_horizontal_plate_turbulent_Schlichting
def Nu_horz_turb_Schl(Re, Pr):
"""
Calculate the Nusselt number for turbulent flow across an isothermal flat plate using the Schlichting correlation.
See: https://ht.readthedocs.io/en/latest/ht.conv_external.html
This example function is provided as-is without any representation of accuracy.
Args:
Re (float): Reynolds number with respect to plate length (-).
Pr (float): Prandtl number at bulk temperature (-).
Returns:
float: Nusselt number with respect to plate length (-).
"""
try:
return ht_Nu_horizontal_plate_turbulent_Schlichting(Re=Re, Pr=Pr)
except Exception as e:
return f"Error: {str(e)}"Online Calculator