{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Chapter 19:Electromagnetic Induction" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Ex19.1:pg-938" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The flux in the room is Phi= 0.00012 T meters**2\n" ] } ], "source": [ " import math #Example19_1\n", " \n", " \n", " #To find the flux in the room\n", "l=4 #Units in meters\n", "b=0.8 #Units in meters\n", "theta=20 #Units in degrees\n", "a=l*b #Units in meters**2\n", "b=4*10**-5 #Units in T\n", "thetaa=math.cos(theta*math.pi/180) #Units in radians\n", "phi=b*thetaa*a #Units in T meters**2\n", "print \"The flux in the room is Phi=\",round(phi,5),\" T meters**2\"\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Ex19.2:pg-939" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The average emf Induced is emf= 1.0 V\n" ] } ], "source": [ " import math #Example19_2\n", " \n", " \n", " #To find how large is the average EMF induced\n", "b=0.5 #Units in T\n", "a=4*10**-4 #Units in meters**2\n", "phi2=b*a #Units in Wb\n", "phi1=0 #Units in Wb\n", "deltaPHI=phi2-phi1 #Units in Wb\n", "n=100.0 #Units in Constant\n", "deltaT=2.0*10**-2 #Units in sec\n", "emf=(n*deltaPHI)/deltaT #Units in V\n", "print \"The average emf Induced is emf=\",round(emf),\" V\"\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Ex19.3:pg-939" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The emf generated is emf= 50.0 V\n" ] } ], "source": [ " import math #Example19_3\n", " \n", " \n", " #To findout how large an emf is generated\n", "m=0.5 #Units in H\n", "i=1 #Units in A\n", "t=0.01 #Units in sec\n", "emf=m*(i/t) #Units in V\n", "print \"The emf generated is emf=\",round(emf),\" V\"\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Ex19.5:pg-939" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The time constant is L/R= 0.0833 Sec\n", " The energy stored is= 1.0 J\n" ] } ], "source": [ " import math #Example19_5\n", " \n", " \n", " #To find the time constant of the circuit and the final energy stored\n", "l=0.5 #Units in H\n", "r1=2 #Units in Ohms\n", "r2=4 #Units in Ohms\n", "r=r1+r2 #Units in Ohms\n", "l_r=l/r #Units in sec\n", "i=2 #Units in A\n", "ene=0.5*l*i**2\n", "print \"The time constant is L/R=\",round(l_r,4),\" Sec\\n The energy stored is=\",round(ene),\" J\"\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Ex19.6:pg-940" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The emf induced in the rod is emf= 0.000542 V\n" ] } ], "source": [ " import math #Example19_6\n", "#To find the emf induced in the rod\n", "b=0.6*10**-4 #Units in T\n", "v=3 #Units in meters/sec\n", "d=5 #Units in meters\n", "theta=53 #Units in degrees\n", "thetaa=math.cos(theta*math.pi/180) #Units in radians\n", "emf=b*v*d*thetaa #Units in V\n", "print \"The emf induced in the rod is emf=\",round(emf,6),\" V\"\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Ex19.7:pg-940" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The back emf developed is EMF= 104.0 V\n" ] } ], "source": [ " import math #Example19_7\n", " \n", " \n", "#To calculate the Back emf developed\n", "i=3 #Units in A\n", "r=2.0 #Units in Ohms\n", "v=110.0 #Units in Ohms\n", "e=v-(i*r) #Units in V\n", "print \"The back emf developed is EMF=\",round(e),\" V\"\n" ] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.11" } }, "nbformat": 4, "nbformat_minor": 0 }