species – A list of cantera.Species instances to include in the file. New in version 3.0. Writes Cantera solution object to Chemkin-format file (s). solution – Either the cantera.Solution object being converted or the path of a YAML input file as a str or pathlib.Path instance.
Reactor networks #. Constant-pressure, adiabatic kinetics simulation. Plasma Reactor. Mixing two streams. Integrating constant pressure ignition using SciPy. Constant-pressure, adiabatic kinetics simulation with sensitivity analysis. Plug flow reactor with surface chemistry. Reactors separated by a moving piston.
After Cantera 2.6, results will no longer include third-body concentrations and be consistent with conventional definitions (see Eq. 9.75 in Kee, Coltrin, and Glarborg, Chemically Reacting Flow, Wiley Interscience, 2003). To switch to new behavior, run ct.use_legacy.
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
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Installing the Cantera C++ Interface & Fortran 90 Module #. The Cantera development interface can be installed on all operating systems using Conda. Ubuntu users can install the cantera-dev package from the Cantera PPA. Fedora / Enterprise Linux users can install packages using yum/dnf. OpenSUSE users can install packages using zypper.
Cantera Examples. ¶. Cantera includes example scripts for a number of applications. Depending on which interface you're using, select one of the categories below.
Cantera,Chemkin、,(、、
This pages provide detailed reference documentation for Cantera. Programming Reference # These sections document the classes and functions that define the Cantera interface
(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
add_reactor (self, Reactor r) Add a reactor to the network. advance (self, double t, bool apply_limit=True) Advance the state of the reactor network in time from the current time towards time t [s], taking as many integrator timesteps as necessary. If apply_limit is true and an advance limit is specified, the reactor state at the end of the timestep is estimated
A three-body reaction is a gas-phase reaction of the form: \mathrm {A + B + M \rightleftharpoons AB + M} A+ B+M ⇌ AB+ M. Here \mathrm {M} M is an unspecified collision partner that carries away excess energy to stabilize the \mathrm {AB} AB molecule (forward direction) or supplies energy to break the \mathrm {AB} AB bond (reverse
import cantera as ct import numpy as np. 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.
add_reactor (self, Reactor r) Add a reactor to the network. advance (self, double t, bool apply_limit=True) Advance the state of the reactor network in time from the current time towards time t in seconds, taking as many integrator time steps as necessary. If apply_limit is true and an advance limit is specified, the reactor state at the end of the timestep is
Bases: cantera.onedim.FlameBase. A freely-propagating flat flame. A domain of type IdealGasFlow named ‘flame’ will be created to represent the flame and set to free flow. The three domains comprising the stack are stored as self.inlet, self.flame, and self.outlet.
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
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.
Automation Cantera automates the chemical kinetic, thermodynamic, and transport calculations so that the users can efficiently incorporate detailed chemical thermo-kinetics and transport models into their calculations. Object-Oriented Cantera utilizes object
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This program should be run from the command line first to convert any CK files you plan to use into Cantera format (YAML format). (New in Cantera 2.5) Usage: Each of the terms in square brackets is an option that can be passed on the command line to ck2yaml. --input: This is the chemistry input file, containing a list of all the element names
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.
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.
In this section, we describe how Cantera uses species and phase information to calculate thermodynamic properties. Thermodynamic properties typically depend on information at both the species and phase levels. Generally, the species thermodynamic model and accompanying coefficient data specifies how the reference enthalpy and entropy values
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
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