Run scons help --options to see a list of all of the configuration options for Cantera, or see all of the options on the Configuration Options page. Configuration options are specified as additional arguments to the scons command. For example: scons commandoption_name= value. where scons is the program that manages the build steps, and command
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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.
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Creating a Data File n Create an Excel spreadsheet and save it in CSV format, or create a text file with comma-separated columns z (cm) T P H2 H O OH 0.1 1200 1.00E+05 0.1 0.0056 0.000007 0.00044 0.15 1246 1.01E+05 0.098 0.006 0.000006 0.00034 0.2 1292
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Use The Windows "Add/Remove Programs" interface to remove previous versions of the Cantera package. 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.
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.
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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
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sensitivity1.py (Source) sensitivity1.py. (Source) """ Constant-pressure, adiabatic kinetics simulation with sensitivity analysis Requires: cantera >= 2.5.0, matplotlib >= 2.0 Keywords: combustion, reactor network, sensitivity analysis, plotting """ import sys import numpy as np import cantera as ct gas = ct.Solution('gri30.yaml') temp = 1500.0
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combustor.py. (Source) """ Calculate steady-state solutions for a combustor, modeled as a single well-stirred reactor, for different residence times. We are interested in the steady-state burning solution. This example explores the effect of changing the residence time on completeness of reaction (through the burned gas temperature) and on the
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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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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