{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"`Cortix` 2019 **07Aug2019**\n",
"\n",
"# Droplet Swirl Example\n",
"* This is part of the [Cortix](https://cortix.org)-on-[Jupyter-Notebook](https://github.com/dpploy/cortix-nb) examples.\n",
"* You must be in a Jupyter Notebook server to run this notebook.\n",
"* Select each of the cells below and run them sequentially (use the run button, `>|` on the tool bar or use the `Cell` option on the menu bar).\n",
"* Alternatively, on the menu bar run all cells: `Cell -> Run All`.\n",
"\n",
"$ \n",
" \\newcommand{\\Amtrx}{\\boldsymbol{\\mathsf{A}}}\n",
" \\newcommand{\\Bmtrx}{\\boldsymbol{\\mathsf{B}}}\n",
" \\newcommand{\\Smtrx}{\\boldsymbol{\\mathsf{S}}}\n",
" \\newcommand{\\xvec}{\\boldsymbol{\\mathsf{x}}}\n",
" \\newcommand{\\vvar}{\\boldsymbol{v}}\n",
" \\newcommand{\\fvar}{\\boldsymbol{f}}\n",
" \\newcommand{\\Power}{\\mathcal{P}}\n",
" \\newcommand{\\bm}[1]{{\\boldsymbol{#1}}}\n",
"$"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"---\n",
"## Table of Contents\n",
"* [Introduction](#intro)\n",
" - [Droplet motion model](#dropletmodel)\n",
" - [Vortex motion model](#vortexmodel)\n",
"* [Write a Cortix run file](#runfile)\n",
"* [Verify the network connectivity](#net)\n",
"* [Run the network simulation](#run)\n",
"* [Results inspection through Cortix](#inspect)\n",
" - [Results: All droplets](#dataplot)\n",
" - [Results: Individual droplets](#droplet)\n",
"---"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Introduction"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This Cortix use-case simulates the motion of a swarm of droplets in a vortex stream. \n",
"It consists of two modules, namely, a `Droplet` module used to model the droplet dynamics, \n",
"and a `Vortex` module used to model the effects of the surrounding air on the falling \n",
"droplets. The `Droplet` module is instantiated as many times as there are droplets in \n",
"the simulation while a single `Vortex` module is connected to all `Droplet` \n",
"instances. The communication between modules entails a two-way data exchange between \n",
"the `Vortex` module and the `Droplet` modules, where `Droplet` sends \n",
"its position to `Vortex` and `Vortex` returns the air velocity to `Droplet` at the given position."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Droplet motion model"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The equation of motion of a spherical droplet can be written as:\n",
" \\begin{equation*}\n",
" m_\\text{d}\\,d_t\\bm{v} = \\bm{f}_\\text{d} + \\bm{f}_\\text{b} ,\n",
" \\end{equation*}\n",
"where\n",
" \\begin{equation*}\n",
" \\bm{f}_\\text{d} = c_\\text{d} A \\, \\rho_\\text{f}\\, \n",
" \\frac{||\\bm{v} - \\bm{v}_\\text{f}||}{2}\\,(\\bm{v} - \\bm{v}_\\text{f}) ,\n",
" \\end{equation*}\n",
"is the form drag force on the droplet,\n",
" \\begin{equation*}\n",
" \\bm{f}_\\text{b} = (m_\\text{d} - m_\\text{f})\\,g \\hat{z} ,\n",
" \\end{equation*} \n",
"is the buoyancy force on the droplet,\n",
" \\begin{equation*}\n",
" c_\\text{d}(Re) = \n",
" \\begin{cases}\n",
" \\frac{24}{Re} & Re < 0.1\\\\\n",
" \\Bigl(\\sqrt{\\frac{24}{Re}} + 0.5407\\Bigr)^2 & 0.1 \\leq Re < 6000 \\\\\n",
" 0.44 & Re \\geq 6000\n",
" \\end{cases}\n",
" \\end{equation*}\n",
"is the drag coefficient as a function of Reynold's number, \n",
"$Re=\\frac{\\rho_\\text{f}\\,||\\bm{v}||\\,d}{\\mu_\\text{f}}$.\n",
"The mass of the droplet and its displaced fluid mass are denoted $m_d$ and $m_f$,\n",
"respectively. Droplet diameter, $d$, dynamic viscosity, $\\mu_\\text{f}$, and \n",
"mass density, $\\rho_\\text{f}$, of the surrounding air are provided."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Vortex motion model"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Here we simply use an imposed vortex circulation in analytical form given by its \n",
"tangential component of velocity\n",
" \\begin{equation*}\n",
" v_\\theta(r,z,t) = \\Bigl(1 - e^{\\frac{-r^2}{8\\,r_c^2}}\\Bigr) \n",
" \\frac{\\Gamma}{2\\pi\\, \\max(r,r_c)} f(z) \\, \\bigl|\\cos(\\mu\\,t)\\bigr|,\n",
" \\end{equation*}\n",
"and its vertical component\n",
" \\begin{equation*}\n",
" v_z(z,t) = v_h \\, f(z) \\, \\bigl|\\cos(\\mu\\,t)\\bigr|,\n",
" \\end{equation*}\n",
"where \n",
" \\begin{equation*}\n",
" f(z) = e^{\\frac{-(h - z)}{\\ell}}\n",
" \\end{equation*}\n",
" is a vertical relaxation factor, $r_c$ is the vortex core radius,\n",
" $\\Gamma = \\frac{2\\pi R}{v_\\theta |_{r = R}}$ is the vortex circulation,\n",
" $R$ is the vortex outer radius,\n",
" $h$ is the height of the vortex, and\n",
" $\\ell$ is the relaxation length of $v_z$."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Write the run context"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"# Import various packages; must have the Cortix repository installed\n",
"\n",
"import scipy.constants as const\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# Leave this block here for Azure\n",
"try:\n",
" import cortix\n",
"except ImportError:\n",
" print('Installing the \"cortix\" package...')\n",
" print('')\n",
" !pip install cortix\n",
" import cortix\n",
"\n",
"from cortix.src.cortix_main import Cortix\n",
"from cortix.src.network import Network\n",
"\n",
"# Import the example modules\n",
"from cortix.examples.droplet_swirl.vortex import Vortex\n",
"from cortix.examples.droplet_swirl.droplet import Droplet"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"code_folding": []
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"[12755] 2019-08-25 09:46:23,909 - cortix - INFO - Created Cortix object \n",
"_____________________________________________________________________________\n",
" L A U N C H I N G \n",
"_____________________________________________________________________________\n",
" ... s . (TAAG Fraktur)\n",
" xH88\"`~ .x8X :8 @88>\n",
" :8888 .f\"8888Hf u. .u . .88 %8P uL ..\n",
":8888> X8L ^\"\"` ...ue888b .d88B :@8c :888ooo . .@88b @88R\n",
"X8888 X888h 888R Y888r =\"8888f8888r -*8888888 .@88u \"\"Y888k/\"*P\n",
"88888 !88888. 888R I888> 4888>\"88\" 8888 888E` Y888L\n",
"88888 %88888 888R I888> 4888> \" 8888 888E 8888\n",
"88888 `> `8888> 888R I888> 4888> 8888 888E `888N\n",
"`8888L % ?888 ! u8888cJ888 .d888L .+ .8888Lu= 888E .u./\"888&\n",
" `8888 `-*\"\" / \"*888*P\" ^\"8888*\" ^%888* 888& d888\" Y888*\"\n",
" \"888. :\" \"Y\" \"Y\" \"Y\" R888\" ` \"Y Y\"\n",
" `\"\"***~\"` \"\"\n",
" https://cortix.org \n",
"_____________________________________________________________________________\n"
]
}
],
"source": [
"# Create a Cortix object with Python multiprocessing\n",
"\n",
"swirl = Cortix(use_mpi=False,splash=True)\n",
"\n",
"swirl.network = Network()\n",
"swirl_net = swirl.network\n",
"\n",
"# Set parameters in SI units\n",
"\n",
"n_droplets = 15\n",
"end_time = 3*const.minute\n",
"time_step = 0.2"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"# Create the application network\n",
"\n",
"# Vortex module (single)\n",
"vortex = Vortex()\n",
"swirl_net.module(vortex)\n",
"vortex.show_time = (True,1*const.minute)\n",
"vortex.end_time = end_time\n",
"vortex.time_step = time_step\n",
"vortex.plot_velocity()\n",
"\n",
"for i in range(n_droplets):\n",
" \n",
" # Droplet modules (multiple)\n",
" droplet = Droplet()\n",
" swirl_net.module(droplet)\n",
" droplet.end_time = end_time\n",
" droplet.time_step = time_step\n",
" droplet.bounce = False # allow droplets to bounce off the ground\n",
" droplet.slip = False # allow droplets to slip on the ground (otherwise will stick)\n",
" droplet.save = True # Save the simulation data for post-processing\n",
" \n",
" swirl_net.connect( [droplet, 'external-flow'], [vortex, vortex.get_port('fluid-flow:{}'.format(i))], 'bidirectional')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Verify the network connectivity"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"image/svg+xml": [
"\n",
"\n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# View the Cortix network created\n",
"\n",
"swirl_net.draw()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Run network simulation"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"[12755] 2019-08-25 09:46:24,415 - cortix - INFO - Launching Module \n",
"[12755] 2019-08-25 09:46:24,421 - cortix - INFO - Launching Module \n",
"[12755] 2019-08-25 09:46:24,427 - cortix - INFO - Launching Module \n",
"[12755] 2019-08-25 09:46:24,423 - cortix - INFO - Vortex::time[min] = 0.0\n",
"[12755] 2019-08-25 09:46:24,432 - cortix - INFO - Launching Module \n",
"[12755] 2019-08-25 09:46:24,446 - cortix - INFO - Launching Module \n",
"[12755] 2019-08-25 09:46:24,456 - cortix - INFO - Launching Module \n",
"[12755] 2019-08-25 09:46:24,469 - cortix - INFO - Launching Module \n",
"[12755] 2019-08-25 09:46:24,481 - cortix - INFO - Launching Module \n",
"[12755] 2019-08-25 09:46:24,491 - cortix - INFO - Launching Module \n",
"[12755] 2019-08-25 09:46:24,508 - cortix - INFO - Launching Module \n",
"[12755] 2019-08-25 09:46:24,524 - cortix - INFO - Launching Module \n",
"[12755] 2019-08-25 09:46:24,536 - cortix - INFO - Launching Module \n",
"[12755] 2019-08-25 09:46:24,548 - cortix - INFO - Launching Module \n",
"[12755] 2019-08-25 09:46:24,564 - cortix - INFO - Launching Module \n",
"[12755] 2019-08-25 09:46:24,588 - cortix - INFO - Launching Module \n",
"[12755] 2019-08-25 09:46:24,615 - cortix - INFO - Launching Module \n",
"[12755] 2019-08-25 09:46:37,840 - cortix - INFO - Vortex::time[min] = 1.0\n",
"[12755] 2019-08-25 09:46:51,032 - cortix - INFO - Vortex::time[min] = 2.0\n",
"[12755] 2019-08-25 09:47:04,398 - cortix - INFO - run()::Elapsed wall clock time [s]: 40.49\n"
]
}
],
"source": [
"# Run the simulation!\n",
"\n",
"swirl.run()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Results inspection through Cortix"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### All droplets"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
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\n",
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