{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# 7.19 Water" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Water at 60 deg F flows from a reservoir through a piping system according to a diagram in the book. The reservoir has a head of 11.5 feet.\n", "\n", "The system is:\n", "\n", " entrance\n", " \n", " 3\" miter bend\n", " \n", " standard gate valve open\n", " \n", " 10 feet of 3 inch pipe (sched 40)\n", " \n", " sudden contraction\n", " \n", " 20 feet of 2 inch pipe (sched 40)\n", " \n", " exit\n", "\n", "Find the flow rate in gallons/minute." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "data": { "text/html": [ "136.70828839615876 gallon/minute" ], "text/latex": [ "$136.70828839615876\\ \\frac{\\mathrm{gallon}}{\\mathrm{minute}}$" ], "text/plain": [ "136.70828839615876 " ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from fluids.units import *\n", "from math import pi\n", "L1 = 10*u.foot\n", "L2 = 20*u.foot\n", "\n", "dH = 11.5*u.foot\n", "\n", "mu = 1.1*u.cP\n", "rho = 62.364*u.lb/u.ft**3\n", "\n", "NPS1, Di1, Do1, t1 = nearest_pipe(NPS=3, schedule='40')\n", "NPS2, Di2, Do2, t2 = nearest_pipe(NPS=2, schedule='40')\n", "\n", "A1 = 0.25*pi*Di1**2\n", "A2 = 0.25*pi*Di2**2\n", "\n", "ft1 = ft_Crane(Di1)\n", "ft2 = ft_Crane(Di2)\n", "\n", "roughness = 0.0018*u.inch\n", "\n", "dP = rho*dH*1*u.gravity\n", "\n", "fd1 = fd2 = 0.018 # assumed; solve with sequential substitution\n", "# Take the 3\" diameter as the reference for K\n", "for i in range(10):\n", " K_entrance = entrance_sharp(method='Crane')\n", " K_exit = change_K_basis(exit_normal(), 2*u.inch, 3*u.inch)\n", " K_gate = K_gate_valve_Crane(D1=Di1, D2=Di1, angle=0.0*u.degrees)\n", " K_elbow = bend_miter(Di=Di1, angle=90*u.degrees, method='Crane')\n", " K_contraction = change_K_basis(contraction_conical_Crane(3*u.inch, 2*u.inch, l=0*u.m), 2*u.inch, 3*u.inch)\n", "\n", " K_tot = K_entrance + K_elbow + K_gate + K_exit + K_contraction\n", " K_f1 = K_from_f(fd=fd1, L=L1, D=Di1)\n", " K_f2 = change_K_basis(K_from_f(fd=fd2, L=L2, D=Di2), 2*u.inch, 3*u.inch) \n", " K_tot += K_f1 + K_f2\n", " \n", " K_tot_basis2 = change_K_basis(K_tot, 3*u.inch, 2*u.inch)\n", " \n", " v1 = (2*dP/(K_tot*rho))**0.5\n", " v2 = (2*dP/(K_tot_basis2*rho))**0.5\n", "\n", " Re1 = rho*v1*Di1/mu\n", " Re2 = rho*v2*Di2/mu\n", " fd1 = friction_factor(Re=Re1, eD=roughness/Di1)\n", " fd2 = friction_factor(Re=Re2, eD=roughness/Di2)\n", "\n", "Q = A1*v1\n", "Q.to(u.gal/u.min)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The solution given in Crane where they also perform iterations is 137 gal/min." ] } ], "metadata": { "language_info": { "name": "python" } }, "nbformat": 4, "nbformat_minor": 1 }