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A short C++ program that uses Cantera is shown below. This program reads in a specification of a gas mixture from an input file, and then builds a new object
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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plasma_equilibrium.py. (Source) """ An equilibrium example with charged species in the gas phase and multiple condensed phases. Requires: cantera >= 2.5.0, matplotlib >= 2.0 Keywords: equilibrium, multiphase, plasma, saving output """ import cantera as ct import csv # create objects representing the gas phase and the condensed phases.
Mechanism reduction. #. A simplistic approach to mechanism reduction which demonstrates Cantera’s features for dynamically manipulating chemical mechanisms. Here, we use the full GRI 3.0 mechanism to simulate adiabatic, constant pressure ignition of a lean methane/air mixture. We track the maximum reaction rates for each reaction to determine
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.
Reactors and Reactor Networks. #. 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 devices representing mass flow, heat transfer, and moving walls. The system is generally unsteady – that is, all states are functions of time.
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Science Reference #. These sections document the scientific theories, mathematical models, and numerical methods implemented by Cantera. This starts with some of the fundamental scientific theory underpinning the ways that Cantera models phases of matter, which involves calculations for thermodynamic and transport properties and chemical
(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 links at the bottom of the page. Search the documentation Python
One-Dimensional Flames. ¶. Cantera includes a set of models for representing steady-state, quasi-one- dimensional reacting flows. These models can be used to simulate a number of common flames, such as: freely-propagating premixed laminar flames. burner-stabilized premixed flames. counterflow diffusion flames.
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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 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
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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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.
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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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 #.
Detailed Description. Methods for calculating analytical and/or numerical derivatives. Function Documentation. getDerivativeSettings () Retrieve derivative settings.
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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.
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