Reactors and Reactor Networks — Cantera 3.1.0a2 documentation

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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Description-Cerfacs

Cantera allows to create objects representing phases of matter, interfaces between these phases, reactors, 1-dimensional reacting flows, etc. It can be used to calculate chemical

Ideal Gas Reactor | Cantera

In case of the Ideal Gas Reactor Model, the reactor temperature T T is used instead of the total internal energy U U as a state variable. For an ideal gas, we can rewrite the total internal energy in terms of the mass fractions and temperature: U = m \sum_k Y_k u_k (T) U = m k∑Y kuk(T)

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sensitivity1.py | Cantera

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 pres = ct.one_atm gas

One-dimensional Reacting Flows | Cantera

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.

Chemical Kinetics | Cantera

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.

Using Reactor Networks for Time Integration — Cantera 3.1.0a2

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

Open-source chemical kinetics, thermodynamics, and transport — Cantera

Cantera automates the chemical kinetic, thermodynamic, and transport calculations so that the users can efficiently incorporate detailed chemical thermo-kinetics and transport

User Guide — Cantera 3.1.0a1 documentation

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.

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Chemical Kinetics | Cantera

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.

User Guide — Cantera 3.1.0a2 documentation

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.

Constant Pressure Reactor | Cantera

Constant Pressure Reactor For this reactor model, the pressure is held constant. The energy equation is defined by the total enthalpy. A Constant Pressure Reactor is defined by the three state variables: \(m\), the mass of the reactor's contents (in kg) \(H\), the total enthalpy of the reactor's contents (in J)

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combustor.py | Cantera

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

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Reactor Models in Cantera | Cantera

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

Python Tutorial — Cantera 3.1.0a1 documentation

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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flame_speed_with_sensitivity_analysis.ipynb | Cantera

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.

Transport Properties — Cantera 3.1.0a2 documentation

Here, we describe how Cantera uses species and phase information to calculate transport properties and rates. Similar to Cantera’s approach to thermodynamic properties, transport property calculations in Cantera depend on information at both the species and phase levels. The user must specify transport models for both levels, and these

GitHub-Cantera/cantera: Chemical kinetics, thermodynamics, and

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