Utilities#

A collection of routines with multiple purposes organized as follows:

  • unclasified

  • databases

  • display

  • eos

  • export

  • extensions

  • root_finding

  • thermo

  • validations

Unclasified utility functions#

A collection of unclasified functions necessary to perform all the calculations in CT.


Routines
Compute_YFuel(mix, mix_Fuel)#

Compute fuel mass fraction [-]

Parameters:
  • mix (struct) – Properties of the mixture (fuel + oxidizer + inerts)

  • mix_Fuel (struct) – Properties of the mixture (fuel)

Returns:

Yi_Fuel (float) – Mass fractions of the fuel mixture

Example

Yi_Fuel = Compute_YFuel(mix, mix_Fuel)

GPL()#

Return Combustion Toolbox license

Returns:

license_content (char) – The license text

Example

license_content = GPL()

append_cells(cell1, cell2, varargin)#

Append two or more cells in one common cell

Parameters:
  • cell1 (struct) – Cell 1

  • cell2 (struct) – Cell 2

Optional Args:

celli (struct): Additional cells

Returns:

append_cell (struct) – Merged cell

append_structs(s1, s2, varargin)#

Append two or more structs in one common struct

Parameters:
  • s1 (struct) – Struct 1

  • s2 (struct) – Struct 2

Optional Args:

si (struct): Additional structs

Returns:

append_s (struct) – Merged struct

assign_vector2cell(cell, vector, varargin)#

Assign values of a vector into a cell

Parameters:
  • cell (cell) – Cell in which the values of the given vector are going to be included

  • vector (any) – Vector with the values that are going to be included in the cell

Optional Args:

ind (float): List of index positions to assign specific positions to the cell

Returns:

cell (cell) – Cell with the values of the given vector

cell2vector(value, varargin)#

Convert values of an individual cell into a vector. If the value correspond with a struct it can return as a vector the values of a given fieldname.

Parameters:

value (cell or struct) – Data of the mixture, conditions, and databases

Optional Args:

field (char): Fieldname of the given value (only for struct or objects)

Returns:

vector (any) – Vector with the values of the individual cell/fieldname (only for struct or objects)

convert_Pa_to_bar(value)#

Convert pressure in [Pa] units to [bar]

Parameters:

value (float) – Pressure value(s) in [bar]

Returns:

value (float) – Pressure value(s) in [bar]

Example

value = convert_Pa_to_bar(1e5)

convert_atm_to_bar(value)#

Convert pressure in [atm] units to [bar]

Parameters:

value (float) – Pressure value(s) in [atm]

Returns:

value (float) – Pressure value(s) in [bar]

Example

value = convert_atm_to_bar(1)

convert_bar_to_Pa(value)#

Convert pressure in [bar] units to [Pa]

Parameters:

value (float) – Pressure value(s) in [bar]

Returns:

value (float) – Pressure value(s) in [Pa]

Example

value = convert_bar_to_Pa(1)

convert_bar_to_atm(value)#

Convert pressure in [bar] units to [atm]

Parameters:

value (float) – Pressure value(s) in [bar]

Returns:

value (float) – Pressure value(s) in [atm]

Example

value = convert_bar_to_atm(1.01325)

getTypeSpecies(obj)#

Create cell array with the type of species in the mixture

Parameters:

obj (Mixture) – Mixture class

Returns:

typeSpecies (cell) – Cell array with the type of species in the mixture

get_FLAG_N(self)#

Flag if the number of moles of fuel, oxidant and inert species is specified. If not, consider 1 mole for the fuel and calculate the remaining moles from the equivalence relation.

Parameters:

self (struct) – Data of the mixture, conditions, and databases

Returns:

self (struct) – Data of the mixture, conditions, and databases

post_results(self)#

Postprocess all the results with predefined plots

Parameters:

self (struct) – Data of the mixture, conditions, and databases

print_error(ME, varargin)#

Print message error

Parameters:

ME (object) – MException object that allows to identify the error

Optional Name-Value Pairs Args:
  • type (char): Type of message (error, warning, or other)

  • message_solution (char): Message solution

Returns:

error_message (char) – Message error

Examples

  • error_message = print_error(ME, ‘Type’, ‘Warning’)

  • error_message = print_error(ME, ‘Type’, ‘Warning’, ‘Solution’, ‘Returning an empty index value.’)

set_prop(self, varargin)#

Assign property values to the respective variables

Parameters:

self (struct) – Data of the mixture, conditions, and databases

Optional Args:
  • field (str): Fieldname in Problem Description (PD)

  • value (float): Value/s to assing in the field in Problem Description (PD)

Returns:

self (struct) – Data of the mixture, conditions, and databases

set_transformation(self, field, value)#

Set the corresponding value of the field in Problem Description (PD)

Parameters:
  • self (struct) – Data of the mixture, conditions, and databases

  • field (str) – Fieldname in Problem Description (PD)

  • value (float) – Value/s to assign to the field

Returns:

self (struct) – Data of the mixture, conditions, and databases

smooth_data(x, y, varargin)#

Smooth data using Fourier NonlinearLeastSquares method

Parameters:
  • x (float) – data in the x direction

  • y (float) – data in the y direction

Optional Args:

start_point (float): initial point of the fit

Returns:

Tuple containing

  • x (float): smooth data in the x direction

  • y (float): smooth data in the y direction

soundspeed_eq(self, mix, P0, T0)#

Compute speed of sound at equilibrium

Parameters:
  • self (struct) – Data of the mixture, conditions, and databases

  • mix (struct) – Struct mix with all the properties of the mixture

  • P0 (float) – Pressure [bar]

  • T0 (float) – Temperature [K]

Returns:

sound (float) – sound speed [m/s]

vector2cell(value)#

Create cell array from vector

Parameters:

value (any) – Vector with data of any type

Returns:

c (cell) – Cell with the values of the vector

Database functions#

A collection of functions necessary to obtain generate the databases in CT.


Routines
findSpecies(listSpecies, cond_with, type_with, cond_without, type_without)#

Find species in the given list that contain all/any elements of cond_with and that not include all/any elements of cond_without

Parameters:
  • listSpecies (cell) – List of species

  • cond_with (cell) – List of elements to include

  • type_with (char) – Satisfy all or any of the elements in cond_with

  • cond_without (cell) – List of elements to avoid

  • type_without (char) – Satisfy all or any of the elements in cond_without

Returns:

listSpecies (cell) – List of species

Examples

  • listSpecies = findSpecies(listSpecies, {‘C’,’N’,’O’,’minus’,’plus’,’Ar’}, ‘any’,…
    {‘I’, ‘S’, ‘L’, ‘T’, ‘P’, ‘F’, ‘ab’, ‘W’,…

    ‘Z’,’X’,’R’,’Os’,’Cr’,’H’,’Br’,’G’,’K’,… ‘U’,’Co’,’Cu’,’B’,’V’,’Ni’,’Na’,’Mg’,… ‘Mo’,’Ag’,’Nb’,’Cb’,’Cl’,’D’,’T’,… ‘Ca’,’Cs’,’Ne’,’Cd’,’Mn’}, ‘all’)

  • listSpecies = findSpecies(DB.listSpecies, {}, ‘any’, {‘_M’}, ‘all’)

getIndexElements(listSpecies, database, elements, MAX_ELEMENTS)#

Get element indeces of each species contained in listSpecies

Parameters:
  • listSpecies (cell) – List of species

  • database (Database) – Database with custom thermodynamic polynomials functions generated from NASAs 9 polynomials fits

  • elements (cell) – Elements in the periodic table

  • MAX_ELEMENTS (float) – Maximum number of elements contained in one species

Returns:

indexElements (float) – Matrix numel(listSpecies) x MAX_ELEMENTS with element indeces of the species contained in listSpecies

Example

indexElements = getIndexElements(listSpecies, database, elements, MAX_ELEMENTS)

set_DhT(listSpecies, T, DB)#

Function that computes the vector of thermal enthalpy for the given set of species [J/mol]

Parameters:
  • listSpecies (cell) – List of species

  • T (float) – Temperature [K]

  • DB (struct) – Database with custom thermodynamic polynomials functions generated from NASAs 9 polynomials fits

Returns:

DhT (float) – Thermal enthalpy in molar basis [J/mol]

Example

DhT = set_DhT({‘H2O’, ‘CO2’}, 298.15, DB)

set_cP(listSpecies, T, DB)#

Function that computes the vector of specific heats at constant pressure for the given set of species [J/(mol-K)]

Parameters:
  • listSpecies (cell) – List of species

  • T (float) – Temperature [K]

  • DB (struct) – Database with custom thermodynamic polynomials functions generated from NASAs 9 polynomials fits

Returns:

cP (float) – Specific heat at constant pressure in molar basis [J/(mol-K)]

Example

cP = set_cP({‘H2O’, ‘CO2’}, 298.15, DB)

set_e0(listSpecies, T, DB)#

Function that computes the vector of internal energy for the given set of species [J/mol]

Parameters:
  • listSpecies (cell) – List of species

  • T (float) – Temperature [K]

  • DB (struct) – Database with custom thermodynamic polynomials functions generated from NASAs 9 polynomials fits

Returns:

e0 (float) – Internal energy in molar basis [J/mol]

Example

e0 = set_e0({‘H2O’, ‘CO2’}, 298.15, DB)

set_g0(listSpecies, T, DB)#

Function that computes the vector of gibbs free energy for the given set of species [J/mol]

Parameters:
  • listSpecies (cell) – List of species

  • T (float) – Temperature [K]

  • DB (struct) – Database with custom thermodynamic polynomials functions generated from NASAs 9 polynomials fits

Returns:

g0 (float) – Gibbs energy in molar basis [J/mol]

Example

g0 = set_g0({‘H2O’, ‘CO2’}, 298.15, DB)

set_h0(listSpecies, T, DB)#

Function that computes the vector of enthalpies for the given set of species [J/mol]

Parameters:
  • listSpecies (cell) – List of species

  • T (float) – Temperature [K]

  • DB (struct) – Database with custom thermodynamic polynomials functions generated from NASAs 9 polynomials fits

Returns:

h0 (float) – Enthalpy in molar basis [J/mol]

Example

h0 = set_h0({‘H2O’, ‘CO2’}, 298.15, DB)

set_prop_DB(listSpecies, property, DB)#

Function that gets the vector of the defined property for the given set of species

Parameters:
  • listSpecies (cell) – List of species

  • property (str) – Property to obtain from the database

  • DB (struct) – Database with custom thermodynamic polynomials functions generated from NASAs 9 polynomials fits

Returns:

value (float) – Property vector

Example

value = set_prop_DB({‘H2O’, ‘CO2’}, ‘hf’, DB)

set_s0(listSpecies, T, DB)#

Function that computes the vector of entropy for the given set of species [J/(mol-K)]

Parameters:
  • listSpecies (cell) – List of species

  • T (float) – Temperature [K]

  • DB (struct) – Database with custom thermodynamic polynomials functions generated from NASAs 9 polynomials fits

Returns:

s0 (float) – Entropy in molar basis [J/(mol-K)]

Example

s0 = set_s0({‘H2O’, ‘CO2’}, 298.15, DB)

species_DeT(species, T, DB)#

Compute thermal internal energy [J/mol] of the species at the given temperature [K] using piecewise cubic Hermite interpolating polynomials and linear extrapolation

Parameters:
  • species (char) – Chemical species

  • T (float) – Temperature [K]

  • DB (struct) – Database with custom thermodynamic polynomials functions generated from NASAs 9 polynomials fits

Returns:

DeT (float) – Thermal internal energy in molar basis [J/mol]

Example

DeT = species_DeT(‘H2O’, 300, DB)

species_DhT(species, T, DB)#

Compute thermal enthalpy [J/mol] of the species at the given temperature [K] using piecewise cubic Hermite interpolating polynomials and linear extrapolation

Parameters:
  • species (char) – Chemical species

  • T (float) – Temperature [K]

  • DB (struct) – Database with custom thermodynamic polynomials functions generated from NASAs 9 polynomials fits

Returns:

DhT (float) – Thermal enthalpy in molar basis [J/mol]

Example

DhT = species_DhT(‘H2O’, 300, DB)

species_cP(species, T, DB)#

Compute specific heat at constant pressure [J/(mol-K)] of the species at the given temperature [K] using piecewise cubic Hermite interpolating polynomials and linear extrapolation

Parameters:
  • species (char) – Chemical species

  • T (float) – Temperature [K]

  • DB (struct) – Database with custom thermodynamic polynomials functions generated from NASAs 9 polynomials fits

Returns:

cp (float) – Specific heat at constant pressure in molar basis [J/(mol-K)]

Example

cp = species_cP(‘H2O’, 300, DB)

species_cV(species, T, DB)#

Compute specific heat at constant volume [J/(mol-K)] of the species at the given temperature [K] using piecewise cubic Hermite interpolating polynomials and linear extrapolation

Parameters:
  • species (char) – Chemical species

  • T (float) – Temperature [K]

  • DB (struct) – Database with custom thermodynamic polynomials functions generated from NASAs 9 polynomials fits

Returns:

cv (float) – Specific heat at constant volume in molar basis [J/(mol-K)]

Example

cv = species_cv(‘H2O’, 300, DB)

species_e0(species, T, DB)#

Compute internal energy [J/mol] of the species at the given temperature [K] using piecewise cubic Hermite interpolating polynomials and linear extrapolation

Parameters:
  • species (char) – Chemical species

  • T (float) – Temperature [K]

  • DB (struct) – Database with custom thermodynamic polynomials functions generated from NASAs 9 polynomials fits

Returns:

e0 (float) – Internal energy in molar basis [J/mol]

Example

e0 = species_e0(‘H2O’, 300, DB)

species_g0(species, T, DB, varargin)#

Compute Gibbs energy [J/mol] of the species at the given temperature [K] using piecewise cubic Hermite interpolating polynomials and linear extrapolation

Parameters:
  • species (char) – Chemical species

  • T (float) – Temperature [K]

  • DB (struct) – Database with custom thermodynamic polynomials functions generated from NASAs 9 polynomials fits

Returns:

g0 (float) – Gibbs energy in molar basis [J/mol]

Example

g0 = species_g0(‘H2O’, 298.15, DB)

species_gamma(species, T, DB)#

Compute adiabatic index of the species [-] at the given temperature [K] using piecewise cubic Hermite interpolating polynomials and linear extrapolation

Parameters:
  • species (char) – Chemical species

  • T (float) – Temperature [K]

  • DB (struct) – Database with custom thermodynamic polynomials functions generated from NASAs 9 polynomials fits

Returns:

gamma (float) – Adiabatic index [-]

Example

gamma = species_gamma(‘H2O’, 300, DB)

species_h0(species, T, DB)#

Compute enthalpy [J/mol] of the species at the given temperature [K] using piecewise cubic Hermite interpolating polynomials and linear extrapolation

Parameters:
  • species (char) – Chemical species

  • T (float) – Temperature [K]

  • DB (struct) – Database with custom thermodynamic polynomials functions generated from NASAs 9 polynomials fits

Returns:

h0 (float) – Enthalpy in molar basis [J/mol]

Example

h0 = species_h0(‘H2O’, 300, DB)

species_s0(species, T, DB)#

Compute entropy [J/(mol-K)] of the species at the given temperature [K] using piecewise cubic Hermite interpolating polynomials and linear extrapolation

Parameters:
  • species (char) – Chemical species

  • T (float) – Temperature [K]

  • DB (struct) – Database with custom thermodynamic polynomials functions generated from NASAs 9 polynomials fits

Returns:

s0 (float) – Entropy in molar basis [J/(mol-K)]

Example

s0 = species_s0(‘H2O’, 300, DB)

Display functions#

A collection of functions necessary to display the results (command window and plots).


Routines

Equation of State functions#

A collection of Equation of States (EoS) implemented in CT.


Routines

Export functions#

A collection of functions to export results.


Routines

Extensions functions#

A collection of external functions from other repositories.

  • Combustion Toolbox’s color palette is obtained from the following repository: Stephen (2021). ColorBrewer: Attractive and Distinctive Colormaps (https://github.com/DrosteEffect/BrewerMap), GitHub. Retrieved December 3, 2021.

  • For validations, Combustion Toolbox uses CPU Info from the following repository: Ben Tordoff (2022). CPU Info (https://github.com/BJTor/CPUInfo/releases/tag/v1.3), GitHub. Retrieved March 22, 2022.

  • Combustion Toolbox’s splash screen is based on a routine from the following repository: Ben Tordoff (2022). SplashScreen (https://www.mathworks.com/matlabcentral/fileexchange/30508-splashscreen), MATLAB Central File Exchange. Retrieved October 15, 2022.

Root finding algorithms#

Roots algorithm used to obtain the temperature at equilibrium for a given thermochemical transformation. The methods implemented are:

  • Newton-Raphson method.

  • Steffensen-Aitken method.


Routines

Thermodynamic properties#

Functions to obtain thermodynamic properties from a given mixture.


Routines
MolecularWeight(mix)#

Get the molecular weight [g/mol] of the mixture

Parameters:

mix (struct) – Properties of the mixture

Returns:

value (float) – Molecular weight [g/mol] of the mixture

adiabaticIndex(mix)#

Get the adiabatic index [-] of the mixture from the ratio of the specific heat capacities

Parameters:

mix (struct) – Properties of the mixture

Returns:

value (float) – Adiabatic index of the mixture [-]

adiabaticIndex_sound(mix)#

Get the adiabatic index [-] of the mixture from definition of sound velocity

Parameters:

mix (struct) – Properties of the mixture

Returns:

value (float) – Adiabatic index [-] of the mixture

compressibility_factor(mix)#

Compute compressibility factor of the mixture [-]

Parameters:

mix (struct) – Properties of the mixture

Returns:

Z (float) – Compressibility factor [-]

compute_heatrelease(mix1, mix2)#

Compute heat release [J/kg] of the chemical transformation of the mixture 1 to mixture 2

Parameters:
  • mix1 (struct) – Properties of the initial mixture

  • mix2 (struct) – Properties of the final mixture

Returns:

q (float) – heat release [J/kg] == [m^2/s^2] Q (float): dimensionless heat release

compute_sound(T, p, species, composition, varargin)#

Routine to compute sound velocity [m/s] for a given temperature-pressure profile

Parameters:
  • T (float) – Temperature [K]

  • p (float) – Pressure [bar]

  • species (cell) – List of species

  • composition (float) – composition of species (mol)

Optional Name-Value Pairs Args:

self (struct): Data of the mixtures, conditions, databases

Returns:

sound (float) – Sound velocity [m/s]

Examples

sound = compute_sound(300, 1, {‘H2’, ‘O2’}, [1, 1]) sound = compute_sound(300, 1, {‘H2’, ‘O2’}, [1, 1], ‘self’, self)

cp_mass(mix)#

Get the mass-basis specific heat at constant pressure [kJ/kg-K] of the mixture

Parameters:

mix (struct) – Properties of the mixture

Returns:

value (float) – Mass-basis specific heat at constant pressure [kJ/kg-K] of the mixture

cp_mole(mix)#

Get the mole-basis specific heat at constant pressure [kJ/mol-K] of the mixture

Parameters:

mix (struct) – Properties of the mixture

Returns:

value (float) – Mole-basis specific heat at constant pressure [kJ/mol-K] of the mixture

cv_mass(mix)#

Get the mass-basis specific heat at constant volume [kJ/kg-K] of the mixture

Parameters:

mix (struct) – Properties of the mixture

Returns:

value (float) – Mass-basis specific heat at constant volume [kJ/kg-K] of the mixture

cv_mole(mix)#

Get the mole-basis specific heat at constant volume [kJ/mol-K] of the mixture

Parameters:

mix (struct) – Properties of the mixture

Returns:

value (float) – Mole-basis specific heat at constant volume [kJ/mol-K] of the mixture

density(mix)#

Get the density [kg/m3] of the mixture

Parameters:

mix (struct) – Properties of the mixture

Returns:

value (float) – density [kg/m3] of the mixture

enthalpy_formation_mass(mix)#

Get the mass specific enthalpy formation [kJ/kg] of the mixture

Parameters:

mix (struct) – Properties of the mixture

Returns:

value (float) – Mass-basis specific enthalpy formation [kJ/kg] of the mixture

enthalpy_formation_mole(mix)#

Get the mole specific enthalpy formation [kJ/mol] of the mixture

Parameters:

mix (struct) – Properties of the mixture

Returns:

value (float) – Mole-basis specific enthalpy formation [kJ/mol] of the mixture

enthalpy_mass(mix)#

Get the mass specific enthalpy [kJ/kg] of the mixture

Parameters:

mix (struct) – Properties of the mixture

Returns:

value (float) – Mass-basis specific enthalpy [kJ/kg] of the mixture

enthalpy_mole(mix)#

Get the mole specific enthalpy [kJ/mol] of the mixture

Parameters:

mix (struct) – Properties of the mixture

Returns:

value (float) – Mole-basis specific enthalpy [kJ/mol] of the mixture

entropy_mass(mix)#

Get the mass specific entropy [kJ/kg-K] of the mixture

Parameters:

mix (struct) – Properties of the mixture

Returns:

value (float) – Mass-basis specific entropy [kJ/kg-K] of the mixture

entropy_mole(mix)#

Get the mole specific entropy [kJ/mol-K] of the mixture

Parameters:

mix (struct) – Properties of the mixture

Returns:

value (float) – Mole-basis specific entropy [kJ/mol-K] of the mixture

equivalenceRatio(mix)#

Get the equivalence ratio of the initial mixture [-]

Parameters:

mix (struct) – Properties of the mixture

Returns:

value (float) – Equivalence ratio of the initial mixture [-]

gibbs_mass(mix)#

Get the mass specific gibbs free energy [kJ/kg] of the mixture

Parameters:

mix (struct) – Properties of the mixture

Returns:

value (float) – Mass-basis specific gibbs free energy [kJ/kg] of the mixture

gibbs_mole(mix)#

Get the mole specific gibbs free energy [kJ/mol] of the mixture

Parameters:

mix (struct) – Properties of the mixture

Returns:

value (float) – Mole-basis specific gibbs free energy [kJ/mol] of the mixture

humiditySpecific(T, p, humidityRelative)#

Get the specific humidity of air [kg_w/kg_da] at a given temperature, pressure, and relative humidity

Parameters:
  • T (float) – Temperature [K]

  • p (float) – Pressure [bar]

  • humidityRelative (float) – Relative humidity [%]

Returns:

value (float) – Specific humidity of air [kg_w/kg_da]

intEnergy_mass(mix)#

Get the mass specific internal energy [kJ/kg] of the mixture

Parameters:

mix (struct) – Properties of the mixture

Returns:

value (float) – Mass-basis specific internal energy [kJ/kg] of the mixture

intEnergy_mole(mix)#

Get the mole specific internal energy [kJ/mol] of the mixture

Parameters:

mix (struct) – Properties of the mixture

Returns:

value (float) – Mole-basis specific internal energy [kJ/mol] of the mixture

mass(mix)#

Get the mass [kg] of the mixture

Parameters:

mix (struct) – Properties of the mixture

Returns:

value (float) – mass [kg] of the mixture

massFractions(mix)#

Get the mass fractions of all the species in the mixture [-]

Parameters:

mix (struct) – Properties of the mixture

Returns:

value (float) – Mass fractions of all the species in the mixture [-]

meanMolecularWeight(mix)#

Get the mean molecular weight [g/mol] of the mixture

Parameters:

mix (struct) – Properties of the mixture

Returns:

value (float) – Mean molecular weight [g/mol] of the mixture

moleFractions(mix)#

Get the mole fractions of all the species in the mixture [-]

Parameters:

mix (struct) – Properties of the mixture

Returns:

value (float) – Mole fractions of all the species in the mixture [-]

moles(mix)#

Get the moles [mol] of all the species in the mixture

Parameters:

mix (struct) – Properties of the mixture

Returns:

value (float) – Moles [mol] of all the species in the mixture

molesGas(mix)#

Get the moles of the gases in the mixture [mol]

pressure(mix)#

Get the pressure [bar] in the mixture

Parameters:

mix (struct) – Properties of the mixture

Returns:

value (float) – Pressure [bar] in the mixture

soundspeed(mix)#

Get the speed of sound [m/s] in the mixture

Parameters:

mix (struct) – Properties of the mixture

Returns:

value (float) – Speed of sound [m/s] in the mixture

temperature(mix)#

Get the temperature [K] in the mixture

Parameters:

mix (struct) – Properties of the mixture

Returns:

value (float) – Temperature [K] in the mixture

velocity_relative(mix)#

Get the velocity of the gases relative to the shock front [m/s] in the mixture

Parameters:

mix (struct) – Properties of the mixture

Returns:

value (float) – Velocity of the gases relative to the shock front [m/s] in the mixture

volume(mix)#

Get the volume [m3] of the mixture

Parameters:

mix (struct) – Properties of the mixture

Returns:

value (float) – volume [m3] of the mixture

Validations functions#

A collection of functions to generate the validations automatically.


Routines
compute_error_moles_CEA(resultsCT, resultsCEA, varname_x, value, varname_y, listSpecies, tolMoles)#

Compute max error of CT against CEA

Args:

Returns:

Examples

compute_error_prop_CEA(resultsCT, resultsCEA, varsname_x, value, varsname_y, type)#

Compute max error of CT against CEA

Args:

Returns:

Examples

compute_error_prop_Cantera(resultsCT, resultsCantera, varsname_x, value, varsname_y, type)#

Compute max error of CT against Cantera

Args:

Returns:

Examples

data_CEA(filename, varargin)#
debug_plot_error(it, STOP, varargin)#

Debug function that plots the error per iteration along with the value of the correction factor

load_struct(filename, variable_name)#

Load variable from a struct saved in a file

plot_thermo_validation(species, property, DB, varargin)#

Validation custom thermodynamic polynomials with NASA’s 9 polynomials

Parameters:
  • species (cell) – List of species

  • property (str) – Name of the thermodynamic property to check

  • DB (struct) – Database with custom thermodynamic polynomials functions generated from NASAs 9 polynomials fits

Optional Args:
  • nfrec (float): Points frequency for NASA values

  • range (float): Temperature range [K]

Returns:

ax (object) – Axes of the plotted figure

plot_validation_shock_polar_SDToolbox(mixArray1, mixArray2, results_SDToolbox, config)#

Plot numerical results obtained with SDToolbox, which use CANTERA as a thermochemical kernel.

  • Pressure ratio with the deflection angle [deg]

  • Wave angle [deg] with the deflection angle [deg]

read_CEA(filename)#

READ DATA FROM CEA AS TXT EXTENSION

set_inputs_thermo_validations(property)#

Set corresponding thermodynamic functions for NASA and Combustion Toolbox

Parameters:

property (str) – Thermodynamic property name

Returns:

Tuple containing

  • funname_NASA (function): Function to use NASA’s polynomials

  • funname_CT (function): Function to use Combustion Toolbox polynomials

  • y_labelname (str): Label y axis