A Python thermophysical property wrapper for real fluids, ideal gases, liquid rocket propellants, and isotropic engineering materials.
Project description
ThermoProp
ThermoProp is a Python thermophysical property library for real fluids, fluid mixtures, ideal gases, ideal gas mixtures, liquid rocket propellants, and isotropic engineering materials.
It provides a unified API around CoolProp, PYroMat, RocketProps, and a built-in engineering material property database.
It provides a clean interface around:
- CoolProp
- PYroMat
- RocketProps
- Built-in Material Database
- NumPy
- SciPy
Why ThermoProp?
ThermoProp provides a unified API around CoolProp, PYroMat, RocketProps, and a built-in engineering material property database.
Instead of remembering backend-specific syntax such as:
CP.PropsSI(...)
pm.get(...)
get_prop(...)
users can write:
from thermoprop import Fluid
water = Fluid(
"water",
pressure=101325,
temperature=300,
)
print(water.density)
print(water.enthalpy)
with a consistent interface for pure fluids, mixtures, ideal gases, liquid rocket propellants, and engineering materials.
Installation
pip install thermoprop
Features
Fluid
Fluid is a CoolProp-based real-fluid wrapper.
It supports:
- Pure fluids
- Fluid mixtures
- Pressure-temperature states
- Pressure-enthalpy states
- Pressure-quality states
- Temperature-quality states
- Density-based states
- Mass-fraction and mole-fraction mixtures
IdealGas
IdealGas is a PYroMat-based ideal-gas wrapper.
It supports:
- Pure ideal gases
- Ideal-gas mixtures
- Temperature states
- Enthalpy states
- Internal-energy states
- Pressure-density closure
- Cp, Cv, gamma, entropy, Gibbs energy, and speed of sound
- Dynamic & kinematic viscosity (selected species)
- Approximate Prandtl number
- Approximate thermal conductivity
Propellant
Propellant is a RocketProps-based liquid rocket propellant wrapper.
It supports:
- Liquid rocket propellants
- Saturated-liquid properties
- Compressed-liquid properties
- Density
- Dynamic viscosity
- Kinematic viscosity
- Thermal conductivity
- Surface tension
- Vapor pressure
- Saturation temperature
- Heat of vaporization
- Critical properties
Propellant is intended for liquid propellant engineering properties. It is not a thermodynamic flash solver and does not calculate vapor-state properties, two-phase states, enthalpy, internal energy, or entropy.
Material
Material is a built-in isotropic engineering material-property wrapper.
It provides temperature-dependent engineering material properties using ThermoProp's integrated material property database.
Supported properties include:
- Density
- Yield strength
- Ultimate strength
- Elastic modulus
- Torsional modulus
- Poisson ratio
- Thermal conductivity
- Specific heat
- Coefficient of thermal expansion
- Melting point
- Electrical resistivity
Currently supported materials include:
Aluminum Alloys
- Aluminum 6061
- Aluminum 7075
Copper Alloys
- Copper C101
- Copper C11000
- Copper C17200
- GRCop-42
- GRCop-84
Carbon & Low-Alloy Steels
- 1018 Carbon Steel
- 1045 Carbon Steel
- 3140 Low-Alloy Steel
- 4140 Steel
Stainless Steels
- Stainless Steel 303
- Stainless Steel 304
- Stainless Steel 316
- A286 Steel
Nickel-Based Superalloys
- Inconel 625
- Inconel 718
Ceramics & Non-Metals
- Graphite
MaterialRegistry
MaterialRegistry maps user-friendly aliases to canonical ThermoProp material names.
Material names can be supplied using common aliases:
from thermoprop import Material
mat = Material("in718")
mat = Material("6061")
mat = Material("304ss")
MaterialRegistry can also be used directly:
from thermoprop import MaterialRegistry
print(MaterialRegistry.name("in718"))
print(MaterialRegistry.name("6061"))
print(MaterialRegistry.name("304ss"))
Example output:
Inconel 718
Aluminum 6061
Stainless Steel 304
Custom aliases can be added at runtime:
from thermoprop import Material
from thermoprop import MaterialRegistry
MaterialRegistry.add_alias(
"chamber alloy",
"Inconel 718",
)
mat = Material(
"chamber alloy",
temperature=300,
)
print(mat.yield_strength)
Aliases can be removed using:
MaterialRegistry.remove_alias(
"chamber alloy"
)
FluidRegistry
FluidRegistry maps user-friendly names and aliases to backend-specific names.
For example:
from thermoprop import FluidRegistry
print(FluidRegistry.coolprop_name("rp-1"))
print(FluidRegistry.propellant_name("rp-1"))
outputs different backend names:
n-Dodecane
RP1
This is intentional. Fluid("rp-1") uses CoolProp's n-Dodecane as an RP-1 surrogate, while Propellant("rp-1") uses RocketProps' actual RP1 correlation.
Thermodynamic Reference States
ThermoProp provides a unified interface to multiple thermodynamic backends.
Different property libraries may use different reference states for properties such as:
- Enthalpy
- Internal energy
- Entropy
As a result, absolute values of these properties may differ between ThermoProp classes even when pressure, temperature, and composition are identical.
For example, two wrappers representing the same physical state may report different absolute enthalpy values if their underlying thermodynamic libraries use different energy reference conventions.
This behavior is expected and does not indicate an error.
Most engineering calculations depend on property differences rather than absolute values. Properties such as:
- Temperature
- Pressure
- Density
- Specific heats
- Speed of sound
- Enthalpy differences (Δh)
- Internal-energy differences (Δu)
remain physically meaningful within each backend.
Users combining results from multiple ThermoProp wrappers should establish a consistent thermodynamic reference basis if absolute values of enthalpy, internal energy, or entropy are required.
Pure Fluid Example
from thermoprop import Fluid
water = Fluid(
"water",
pressure=101325,
temperature=300,
)
print(water.density)
print(water.enthalpy)
print(water.phase)
Pressure-Enthalpy Example
from thermoprop import Fluid
water = Fluid(
"water",
pressure=101325,
enthalpy=2.7e6,
)
print(water.temperature)
print(water.quality)
print(water.phase)
Mixture Example
from thermoprop import Fluid
air_like = Fluid(
{"nitrogen": 0.79, "oxygen": 0.21},
basis="mole",
pressure=101325,
temperature=300,
)
print(air_like.density)
print(air_like.specific_heat_cp)
Ideal Gas Example
from thermoprop import IdealGas
nitrogen = IdealGas(
"gn2",
pressure=101325,
temperature=300,
)
print(nitrogen.density)
print(nitrogen.specific_heat_ratio)
print(nitrogen.speed_of_sound)
Propellant Example
from thermoprop import Propellant
rp1 = Propellant(
"rp1",
temperature=293.15,
)
print(rp1.density)
print(rp1.dynamic_viscosity)
print(rp1.vapor_pressure)
Material Example
from thermoprop import Material
inc718 = Material(
"in718",
temperature=300,
)
print(inc718.density)
print(inc718.yield_strength)
print(inc718.thermal_conductivity)
Compressed-Liquid Propellant Example
from thermoprop import Propellant
lox = Propellant(
"lox",
pressure=3e6,
temperature=90,
)
print(lox.density)
print(lox.dynamic_viscosity)
print(lox.saturation_pressure)
Propellant Cavitation Margin Example
from thermoprop import Propellant
lox = Propellant(
"lox",
pressure=300000,
temperature=90,
)
margin = lox.pressure - lox.vapor_pressure
print(margin)
Fluid Registry Examples
FluidRegistry can be used to inspect supported names, check backend support, and add custom aliases.
Check Backend Names
from thermoprop import FluidRegistry
print(FluidRegistry.coolprop_name("water"))
print(FluidRegistry.pyromat_name("gn2"))
print(FluidRegistry.propellant_name("rp-1"))
Example output:
Water
N2
RP1
For PYroMat, the ig. prefix can also be requested:
print(FluidRegistry.pyromat_name("gn2", include_prefix=True))
Example output:
ig.N2
Check Backend Support
from thermoprop import FluidRegistry
print(FluidRegistry.supports_coolprop("water"))
print(FluidRegistry.supports_pyromat("gn2"))
print(FluidRegistry.supports_propellant("rp-1"))
List Supported Names
from thermoprop import FluidRegistry
print(FluidRegistry.names)
print(FluidRegistry.coolprop_supported_names)
print(FluidRegistry.pyromat_supported_names)
print(FluidRegistry.propellant_supported_names)
You can also print supported species directly:
FluidRegistry.show_species()
FluidRegistry.show_coolprop_species()
FluidRegistry.show_pyromat_species()
FluidRegistry.show_propellant_species()
Show Aliases
ThermoProp keeps normal fluid aliases and propellant aliases separate.
from thermoprop import FluidRegistry
FluidRegistry.show_aliases()
FluidRegistry.show_propellant_aliases()
This avoids ambiguity. For example:
print(FluidRegistry.coolprop_name("rp-1"))
print(FluidRegistry.propellant_name("rp-1"))
returns:
n-Dodecane
RP1
Add Custom Aliases
Use add_alias() for Fluid and IdealGas names:
from thermoprop import Fluid, FluidRegistry
FluidRegistry.add_alias("my-water", "Water")
water = Fluid(
"my-water",
pressure=101325,
temperature=300,
)
print(water.density)
Use add_propellant_alias() for Propellant names:
from thermoprop import Propellant, FluidRegistry
FluidRegistry.add_propellant_alias("my-rp1", "RP1")
rp1 = Propellant(
"my-rp1",
temperature=293.15,
)
print(rp1.density)
Removing aliases works the same way:
FluidRegistry.remove_alias("my-water")
FluidRegistry.remove_propellant_alias("my-rp1")
Common Properties
from thermoprop import Fluid
fluid = Fluid(
"water",
pressure=101325,
temperature=300,
)
print(fluid.pressure)
print(fluid.temperature)
print(fluid.density)
print(fluid.enthalpy)
print(fluid.entropy)
print(fluid.specific_heat_cp)
print(fluid.specific_heat_cv)
print(fluid.specific_heat_ratio)
print(fluid.speed_of_sound)
print(fluid.dynamic_viscosity)
print(fluid.conductivity)
Updating State Properties
ThermoProp states can be updated after creation.
Real Fluid
from thermoprop import Fluid
water = Fluid(
"water",
pressure=101325,
temperature=300,
)
water.pressure = 2e5
water.temperature = 350
print(water.density)
print(water.enthalpy)
You can also update state pairs directly:
water.pressure_temperature = (2e5, 350)
water.pressure_enthalpy = (2e5, 1.5e6)
water.pressure_quality = (101325, 0.5)
water.temperature_quality = (373.15, 1.0)
Ideal Gas
Ideal gases only require a thermal state such as temperature, enthalpy, or internal energy.
from thermoprop import IdealGas
nitrogen = IdealGas(
"gn2",
temperature=300,
)
print(nitrogen.enthalpy)
print(nitrogen.internal_energy)
print(nitrogen.specific_heat_cp)
Pressure is optional, but it is required for pressure-dependent properties such as density and entropy:
nitrogen.pressure = 101325
print(nitrogen.density)
print(nitrogen.entropy)
You can also update ideal-gas states:
nitrogen.temperature = 500
nitrogen.pressure_temperature = (101325, 300)
nitrogen.pressure_enthalpy = (101325, nitrogen.enthalpy)
Propellant
Propellants require temperature. Pressure is optional.
from thermoprop import Propellant
rp1 = Propellant(
"rp1",
temperature=293.15,
)
print(rp1.density)
print(rp1.specific_heat_cp)
If pressure is omitted, saturated-liquid properties are used.
rp1.pressure = 2e6
print(rp1.density)
print(rp1.dynamic_viscosity)
You can also update the propellant state pair directly:
rp1.pressure_temperature = (2e6, 300)
Propellant Limitations
Propellant wraps RocketProps liquid propellant correlations.
It is intended for liquid engineering properties and does not calculate:
- Mixture properties
- Vapor-state properties
- Two-phase flash states
- Enthalpy
- Internal energy
- Entropy
- Cv
- Specific heat ratio
- Speed of sound
Unsupported properties raise NotImplementedError.
Ideal-Gas Transport Properties
IdealGas provides approximate transport-property support.
Dynamic Viscosity
IdealGas.dynamic_viscosity uses Sutherland's law.
Viscosity is currently supported only for gases with available Sutherland-law constants. Supported gases include:
- Air
- Argon
- Carbon dioxide
- Carbon monoxide
- Nitrogen
- Oxygen
- Hydrogen
- Water vapor
Ideal-gas mixtures are supported using Wilke's viscosity mixing rule when viscosity data is available for all constituent species.
from thermoprop import IdealGas
air = IdealGas(
"air",
pressure=101325,
temperature=300,
)
print(air.dynamic_viscosity)
If viscosity data is unavailable for a species, ThermoProp raises NotImplementedError.
Prandtl Number
IdealGas.prandtl provides an approximate Prandtl number based on an Eucken-style kinetic-theory correlation.
print(air.prandtl)
This approximation is intended for engineering calculations and should not be considered a replacement for detailed transport-property models.
Thermal Conductivity
IdealGas.conductivity and IdealGas.thermal_conductivity provide approximate thermal conductivity estimates computed from:
k = Cp μ / Pr
using the wrapper's specific heat, dynamic viscosity, and approximate Prandtl number.
print(air.conductivity)
print(air.thermal_conductivity)
These estimates are intended for engineering calculations and do not use detailed transport-property databases such as those employed by CEA, Cantera, or REFPROP.
Material Limitations
Material currently provides temperature-dependent isotropic engineering material properties.
It does not currently support:
- Anisotropic materials
- Composite materials
- Stress-strain curves
- Fatigue data
- Fracture mechanics properties
- Creep data
- Pressure-dependent material behavior
Attempting to access unsupported thermodynamic properties such as enthalpy, entropy, viscosity, or vapor quality will raise NotImplementedError.
Acknowledgments
ThermoProp's isotropic material property database was adapted from material property data compiled and distributed through the MatProtLib project.
The author gratefully acknowledges Tyson Tran and the MatProtLib project for making these engineering material datasets publicly available.
MatProtLib:
https://github.com/tysontran/MatProtLib
Source Code
GitHub:
https://github.com/saakethramoju/ThermoProp
License
ThermoProp is released under the GNU General Public License v3.0.
See LICENSE and THIRD_PARTY_LICENSES.md.
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