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cantera-jupyter-test/reactors/batch_reactor_ignition_delay_NTC.ipynb
Bryan W. Weber d7dee2e579
Update Notebooks for more recent Cantera version 
Use 2.5.0a2 (git hash 471041a2) to run the examples. Update some
formatting in comments and docstrings. Move imports to the top of
Notebooks. Set the matplotlib magic before importing matplotlib.
Fix deprecation warnings from Pandas about argmax and set_value.
2019-03-19 11:43:25 -04:00

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Batch Reactor Example\n",
"## Ignition delay computation\n",
"\n",
"In this example we will illustrate how to setup and use a constant volume batch reactor. This reactor will then be used to compute the ignition delay of a gas at any temperature and pressure\n",
"\n",
"The reactor (system) is simply an insulated box."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Runnning Cantera version: 2.5.0a2\n"
]
}
],
"source": [
"from __future__ import division\n",
"from __future__ import print_function\n",
"\n",
"import pandas as pd\n",
"import numpy as np\n",
"\n",
"import time\n",
"\n",
"import cantera as ct\n",
"print('Runnning Cantera version: ' + ct.__version__)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Import modules and set plotting defaults"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib notebook\n",
"import matplotlib.pyplot as plt\n",
"\n",
"plt.rcParams['axes.labelsize'] = 18\n",
"plt.rcParams['xtick.labelsize'] = 12\n",
"plt.rcParams['ytick.labelsize'] = 12\n",
"plt.rcParams['figure.autolayout'] = True\n",
"\n",
"plt.style.use('ggplot')\n",
"plt.style.use('seaborn-pastel')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Define the gas\n",
"In this example we will choose n-heptane as the gas. For a representative kinetic model, we use the 160 species [mechanism](https://combustion.llnl.gov/archived-mechanisms/alkanes/heptane-reduced-mechanism) by [Seier et al. 2000, Proc. Comb. Inst](http://dx.doi.org/10.1016/S0082-0784(00)80610-4). "
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"**** WARNING ****\n",
"For species c7h15o-1, discontinuity in h/RT detected at Tmid = 1391\n",
"\tValue computed using low-temperature polynomial: 21.8343\n",
"\tValue computed using high-temperature polynomial: 21.767\n"
]
}
],
"source": [
"gas = ct.Solution('data/seiser.cti')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Define reactor conditions : temperature, pressure, fuel, stoichiometry"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"# Define the reactor temperature and pressure\n",
"reactorTemperature = 1000 #Kelvin\n",
"reactorPressure = 101325.0 #Pascals\n",
"\n",
"gas.TP = reactorTemperature, reactorPressure\n",
"\n",
"# Define the fuel, oxidizer and set the stoichiometry\n",
"gas.set_equivalence_ratio(phi=1.0, fuel='nc7h16', oxidizer={'o2':1.0, 'n2':3.76})\n",
"\n",
"# Create a batch reactor object and add it to a reactor network\n",
"# In this example, the batch reactor will be the only reactor\n",
"# in the network\n",
"r = ct.IdealGasReactor(contents=gas, name='Batch Reactor')\n",
"reactorNetwork = ct.ReactorNet([r])\n",
"\n",
"# now compile a list of all variables for which we will store data\n",
"stateVariableNames = [r.component_name(item) for item in range(r.n_vars)]\n",
"\n",
"# use the above list to create a DataFrame\n",
"timeHistory = pd.DataFrame(columns=stateVariableNames)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Define useful functions"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"def ignitionDelay(df, species):\n",
" \"\"\"\n",
" This function computes the ignition delay from the occurence of the\n",
" peak in species' concentration.\n",
" \"\"\"\n",
" return df[species].idxmax()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Computed Ignition Delay: 3.248e-02 seconds. Took 1.31s to compute\n"
]
}
],
"source": [
"#Tic\n",
"t0 = time.time()\n",
"\n",
"# This is a starting estimate. If you do not get an ignition within this time, increase it\n",
"estimatedIgnitionDelayTime = 0.1\n",
"t = 0\n",
"\n",
"counter = 1;\n",
"while(t < estimatedIgnitionDelayTime):\n",
" t = reactorNetwork.step()\n",
" if (counter%10 == 0):\n",
" # We will save only every 10th value. Otherwise, this takes too long\n",
" # Note that the species concentrations are mass fractions\n",
" timeHistory.loc[t] = reactorNetwork.get_state()\n",
" counter+=1\n",
"\n",
"# We will use the 'oh' species to compute the ignition delay\n",
"tau = ignitionDelay(timeHistory, 'oh')\n",
"\n",
"#Toc\n",
"t1 = time.time()\n",
"\n",
"print('Computed Ignition Delay: {:.3e} seconds. Took {:3.2f}s to compute'.format(tau, t1-t0))\n",
"\n",
"# If you want to save all the data - molefractions, temperature, pressure, etc\n",
"# uncomment the next line\n",
"# timeHistory.to_csv(\"time_history.csv\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Plot the result"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Figure illustrating the definition of ignition delay"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
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"\n",
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"\tthis.context.webkitBackingStorePixelRatio ||\n",
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"\tthis.context.oBackingStorePixelRatio ||\n",
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" /* FIXME: We get \"Resource interpreted as Image but\n",
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" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
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"<IPython.core.display.Javascript object>"
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure()\n",
"plt.plot(timeHistory.index, timeHistory['oh'],'-o')\n",
"plt.xlabel('Time (s)')\n",
"plt.ylabel('$Y_{OH}$')\n",
"\n",
"plt.xlim([0,0.05])\n",
"plt.arrow(0, 0.008, tau, 0, width=0.0001, head_width=0.0005,\n",
" head_length=0.001, length_includes_head=True, color='r', shape='full')\n",
"plt.annotate(r'$Ignition Delay: \\tau_{ign}$', xy=(0,0), xytext=(0.01, 0.0082), fontsize=16);"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Illustration : NTC behavior\n",
"\n",
"A common benchmark for a reaction mechanism is its ability to reproduce the **N**egative **T**emperature **C**oefficient behavior. Intuitively, as the temperature of an explosive mixture increases, it should ignite faster. But, under certain conditions, we observe the opposite. This is referred to as NTC behavior. Reproducing experimentally observed NTC behavior is thus an important test for any mechanism. We will do this now by computing and visualizing the ignition delay for a wide range of temperatures"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Define the temperatures for which we will run the simulations"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"# Make a list of all the temperatures we would like to run simulations at\n",
"T = [1800, 1600, 1400, 1200, 1000, 950, 925, 900, 850, 825, 800,\n",
" 750, 700, 675, 650, 625, 600, 550, 500]\n",
"\n",
"estimatedIgnitionDelayTimes = np.ones(len(T))\n",
"\n",
"# Make time adjustments for the highest and lowest temperatures. This we do empirically\n",
"estimatedIgnitionDelayTimes[:6] = 6*[0.1]\n",
"estimatedIgnitionDelayTimes[-2:] = 10\n",
"estimatedIgnitionDelayTimes[-1] = 100\n",
"\n",
"# Now create a dataFrame out of these\n",
"ignitionDelays = pd.DataFrame(data={'T': T})\n",
"ignitionDelays['ignDelay'] = np.nan"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now, what we will do is simply run the code above the plots for each temperature."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Computed Ignition Delay: 1.788e-05 seconds for T=1800K. Took 0.90s to compute\n",
"Computed Ignition Delay: 3.511e-05 seconds for T=1600K. Took 0.89s to compute\n",
"Computed Ignition Delay: 1.612e-04 seconds for T=1400K. Took 0.84s to compute\n",
"Computed Ignition Delay: 1.630e-03 seconds for T=1200K. Took 1.00s to compute\n",
"Computed Ignition Delay: 3.248e-02 seconds for T=1000K. Took 1.02s to compute\n",
"Computed Ignition Delay: 7.909e-02 seconds for T=950K. Took 1.11s to compute\n",
"Computed Ignition Delay: 1.252e-01 seconds for T=925K. Took 1.16s to compute\n",
"Computed Ignition Delay: 1.983e-01 seconds for T=900K. Took 1.20s to compute\n",
"Computed Ignition Delay: 4.266e-01 seconds for T=850K. Took 1.25s to compute\n",
"Computed Ignition Delay: 4.726e-01 seconds for T=825K. Took 1.23s to compute\n",
"Computed Ignition Delay: 3.795e-01 seconds for T=800K. Took 1.27s to compute\n",
"Computed Ignition Delay: 1.462e-01 seconds for T=750K. Took 1.48s to compute\n",
"Computed Ignition Delay: 6.427e-02 seconds for T=700K. Took 1.57s to compute\n",
"Computed Ignition Delay: 5.791e-02 seconds for T=675K. Took 1.57s to compute\n",
"Computed Ignition Delay: 7.723e-02 seconds for T=650K. Took 1.71s to compute\n",
"Computed Ignition Delay: 1.503e-01 seconds for T=625K. Took 1.79s to compute\n",
"Computed Ignition Delay: 3.754e-01 seconds for T=600K. Took 1.78s to compute\n",
"Computed Ignition Delay: 3.749e+00 seconds for T=550K. Took 2.20s to compute\n",
"Computed Ignition Delay: 6.945e+01 seconds for T=500K. Took 2.12s to compute\n"
]
}
],
"source": [
"for i, temperature in enumerate(T):\n",
" # Setup the gas and reactor\n",
" reactorTemperature = temperature\n",
" reactorPressure = 101325.0\n",
" gas.TP = reactorTemperature, reactorPressure\n",
" gas.set_equivalence_ratio(phi=1.0, fuel='nc7h16', oxidizer={'o2':1.0, 'n2':3.76})\n",
" r = ct.IdealGasReactor(contents=gas, name='Batch Reactor')\n",
" reactorNetwork = ct.ReactorNet([r])\n",
"\n",
" # Create and empty data frame\n",
" timeHistory = pd.DataFrame(columns=timeHistory.columns)\n",
"\n",
" t0 = time.time()\n",
"\n",
" t = 0\n",
" counter = 0\n",
" while t < estimatedIgnitionDelayTimes[i]:\n",
" t = reactorNetwork.step()\n",
" if not counter % 20:\n",
" timeHistory.loc[t] = r.get_state()\n",
" counter += 1\n",
"\n",
" tau = ignitionDelay(timeHistory, 'oh')\n",
" t1 = time.time()\n",
"\n",
" print('Computed Ignition Delay: {:.3e} seconds for T={}K. Took {:3.2f}s to compute'.format(tau, temperature, t1-t0))\n",
"\n",
" ignitionDelays.at[i, 'ignDelay'] = tau"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Figure: ignition delay ($\\tau$) vs. the inverse of temperature ($\\frac{1000}{T}$). "
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"scrolled": false
},
"outputs": [
{
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"\n",
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" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
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"};\n",
"\n",
"/*\n",
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" * we need this to avoid circular references\n",
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"function simpleKeys (original) {\n",
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"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
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"<IPython.core.display.Javascript object>"
]
},
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure()\n",
"ax = fig.add_subplot(111)\n",
"ax.semilogy(1000/ignitionDelays['T'], ignitionDelays['ignDelay'], 'o-')\n",
"ax.set_ylabel('Ignition Delay (s)')\n",
"ax.set_xlabel(r'$\\frac{1000}{T (K)}$', fontsize=18)\n",
"\n",
"# Add a second axis on top to plot the temperature for better readability\n",
"ax2 = ax.twiny()\n",
"ticks = ax.get_xticks()\n",
"ax2.set_xticks(ticks)\n",
"ax2.set_xticklabels((1000/ticks).round(1))\n",
"ax2.set_xlim(ax.get_xlim())\n",
"ax2.set_xlabel(r'Temperature: $T(K)$');"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.2"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
Reference in a new issue View git blame Copy permalink