Canteraはのオープンソースのソフトウェアです。0の、1のモデル、、、メカニズムのリダクションなどくのにしています。ここでは、インストールやい、などCanteraのをアップしています。
Cantera is an open-source suite of object-oriented software tools for problems involving chemical kinetics, thermodynamics, and transport processes. Cantera automates the chemical kinetic, thermodynamic, and transport calculations so that the users
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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.
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Cantera is an open-source suite of tools for problems involving chemical kinetics, thermodynamics, and transport processes. Automation. Cantera automates the chemical
Cantera is an open-source suite of object-oriented software tools for problems involving chemical kinetics, thermodynamics, and transport processes. Cantera automates the
Headers for the UnityLewisTransport object, which models transport properties in ideal gas solutions using the unity Lewis number approximation (see Transport Properties and UnityLewisTransport ) . Definition in file UnityLewisTransport.h .
(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
The main featured "tool" is the chemistry solver Cantera, an open source software that CERFACS has adapted to its specific needs. A new version of the website is available at
Go to the documentation of this file. 1 /**. 2 * @file UnityLewisTransport.h. 3 * Headers for the UnityLewisTransport object, which models transport. 4 * properties in ideal gas solutions using the unity Lewis number. 5 * approximation. 6 * (see @ref tranprops and @link Cantera::UnityLewisTransport UnityLewisTransport @endlink) .
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.
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.
Class UnityLewisTransport implements the unity Lewis number approximation for the mixture-averaged species diffusion coefficients. Mixture-averaged transport properties
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
Get/Set the string specifying the transport model, such as multicomponent, mixture-averaged, or unity-Lewis-number. Setting a new transport model deletes the underlying
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
The user must specify a transport model for each species and provide inputs that inform how species properties are calculated. For example, the user provides inputs that allow Cantera to calculate species collision integrals based on species-specific Lennard-Jones parameters. The user also selects a phase transport model.
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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
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