Setting up a Reactor Network #. First, let’s take a look at a basic example to see how we might utilize Cantera’s time integration functionality. We’ll simulate an isolated reactor in Python that is filled with a homogeneous gas mixture. The gas state used in this example is arbitrary, but interesting because it’s explosive.
Input files distributed with Cantera Several reaction mechanism files are included in the Cantera distribution, including ones that model natural gas combustion (gri30.yaml), high-temperature air (air.yaml), a hydrogen/oxygen reaction mechanism (h2o2.yaml), some pure fluids in the liquid-vapor region (liquidvapor.yaml), and a few surface reaction
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class cantera.ThermoPhase(infile='', name='', *, origin=None, yaml=None, thermo=None, species=(), **kwargs) #. Bases: _SolutionBase. A phase with an equation of state. Class
For those new to Cantera, we present here a set of short tutorials to familiarize you with Cantera's basic functionality and basic capabilities, give some examples of how to work Cantera within your preferred interface language—basic function calls and a few simple applications—and demonstrate some basic troubleshooting. After installing
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For those new to Cantera, we present here a set of short tutorials to familiarize you with Cantera’s basic functionality and capabilities, give some examples of how to work
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Introductory Tutorials #. For those new to Cantera, we present here a set of short tutorials to familiarize you with Cantera’s basic functionality and capabilities, give some examples of how to work Cantera within your preferred interface language, and demonstrate some basic troubleshooting. Getting Started with Python.
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Cantera automates the chemical kinetic, thermodynamic, and transport calculations so that the users can efficiently incorporate detailed chemical thermo-kinetics and transport
sensitivity1.py. (Source) """ Constant-pressure, adiabatic kinetics simulation with sensitivity analysis Requires: cantera >= 2.5.0, matplotlib >= 2.0 Keywords: combustion, reactor
Module-level documentation #. ck2yaml.py: Convert Chemkin-format mechanisms to Cantera YAML input files. If the output file name is not given, an output file with the same name as the input file, with the extension changed to ‘.yaml’. An input file containing only species definitions (which can be referenced from phase definitions in other
class cantera.IonBurnerFlame (gas, grid = None, width = None) Bases: cantera.onedim.IonFlameBase, cantera.onedim.BurnerFlame A burner-stabilized flat
Here, we'll create a gas mixture. Start MATLAB, and at the prompt type: >>>. >> gas1 = GRI30. If you have successfully installed the Cantera toolbox, you should see something like this: gri30: temperature 300 K. pressure 101325 Pa. density 0.0818891 kg/m^3.
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Getting Started ¶. First, you'll need to install Cantera on your computer. We have instructions for many platforms in our Installation section. Start by opening an interactive Python session, for example by running IPython. Import the Cantera Python module and NumPy by running: >>> importcanteraasct>>> importnumpyasnp.
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In this example we simulate a freely-propagating, adiabatic, 1-D flame, calculate its laminar burning velocity and perform a sensitivity analysis of its kinetics. The figure below illustrates the setup, in a flame-fixed co-ordinate system. The reactants enter with density \rho_ {u} ρu, temperature T_ {u} T u and speed S_ {u} S u.
You'll find documentation for (almost) every function in Cantera right here. This is the documentation for the current stable release, Cantera 3.0.0. For other versions, see the
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