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.
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
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P r = k 0 [ M] k ∞. The rate constant may be written as. k f ( T, P r) = k ∞ ( P r 1 + P r) More accurate models for unimolecular processes lead to other, more complex, forms for the dependence on reduced pressure. These can be accounted for by multiplying the Lindemann expression by a function F ( T, P r): k f ( T, P r) = k ∞ ( P r 1 + P
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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.
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
Cantera is an open-source collection of object-oriented software tools for problems involving chemical kinetics, thermodynamics, and transport processes. Among other things, it can
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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
Detailed Description. Methods for calculating analytical and/or numerical derivatives. Function Documentation. getDerivativeSettings () Retrieve derivative settings.
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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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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.
This guide explains the basics of setting up and integrating the governing equations of a transient reactor network problem. Setting up a Reactor Network # First, let’s take a look
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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