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.
Class ThermoPhase may be used to represent the intensive thermodynamic state of a phase of matter, which might be a gas, liquid, or solid. Class ThermoPhase is not usually instantiated directly. It is used as a base class for classes Solution and Interface. DP #. Get/Set density [kg/m^3] and pressure [Pa]. DPX #.
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CVode() integrates over a time interval defined by the user, by calling cvStep() to do internal time steps (not specified by the user). ( Documentation: see CVODES User Guide) The arguments taken by the CVode() method is shown below: int CVode(void *cvode_mem, realtype tout, N_Vector yout, realtype *tret, int itask);
Install Cantera. Go to the Cantera Releases page and download Cantera-3.0.0-x64.msi. Run the installer and follow the prompts. Configure Matlab. Launch Matlab. Go to File->Set Path Select Add with Subfolders. Browse to the folder C:\Program Files\Cantera\matlab\toolbox. Select Save, then Close.
Instances of class Kinetics are responsible for evaluating reaction rates of progress, species production rates, and other quantities pertaining to a reaction mechanism. Add a new reaction to this phase. Creation rates for each species. [kmol/m^3/s] for bulk phases or [kmol/m^2/s] for surface phases.
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.
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
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In Cantera, a reactor network represents a set of one or more homogeneous reactors and reacting surfaces that may be connected to each other and to the environment through
Published on August 22, 2023 | Full release on GitHub. The Cantera development team is pleased to announce the availability of Cantera 3.0.0. There have been over 1400
Reactors ¶. A Cantera Reactor() represents the simplest form of a chemically reacting system. It corresponds to an extensive thermodynamic control volume V V, in which all state variables are homogeneously distributed. The system is generally unsteady -- that is, all states are functions of time. In particular, transient state changes due to
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Prerequisites The first step in installing the Cantera Python module using pip is to make sure you have a compatible version of Python installed and are able to run pip from the command line. Packages for Cantera 3.0.0 are available for Python versions 3.8, 3.9, 3.10
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Objects may be declared using a syntax very similar to that used to declare simple variables: type(mixture_t) mix1, mix2, a, b, c type(cstr_t) r1, r2, d, e, f. The primary difference is that
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sudo apt-add-repository ppa:cantera-team/cantera. To install all of the Cantera packages: sudo apt install cantera-python3 libcantera-dev. or install whichever subset you need by adjusting the above command. The cantera-common package is installed as a dependency if any other Cantera packages are selected.
For this reactor model, the pressure is held constant and the energy equation is defined in terms of the total enthalpy. This model is implemented by the C++ class
Instances of class Kinetics are responsible for evaluating reaction rates of progress, species production rates, and other quantities pertaining to a reaction mechanism. Add a new reaction to this phase. Creation rates for each species. [kmol/m^3/s] for bulk phases or [kmol/m^2/s] for surface phases.
When using Cantera, the first thing you usually need is an object representing: some phase of matter. Here, we’ll create a gas mixture. gas1 = ct.Solution('gri30.yaml') To view the state of the mixture, the gas1 object as if it were a function: gas1() gri30: temperature 300 K. pressure 1.0133e+05 Pa.
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