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Figures 1211 and 1212 show for an open-track spring-loaded system a plot of the maximum windup ratio bm versus h, with Qm as a varying parameter for the harmonic cam curve and for the cycloidal cam curve, respectively Qm is a measure of the degree of severity of the drive shaft windup For Qm = 0, there is no windup in the drive train since the drive train vibration is caused by the accelerating and decelerating torques required to move the follower mass through its rise Thus, the greater Qm, the greater is this forcing function The jump line indicates the limiting condition in which the vibration model is invalid From these gures, one can see that increasing the value of the frequency ratio h and decreasing the value of the re ected inertia ratio Qm imply stiffer systems, thus reducing the drive system windup effect Furthermore, the harmonic rise produces lower drive shaft windup than the cycloidal curve cam 12422 Closed-Track Cam System Next let us consider the closed-track cam follower system, Fig 1213 This system has special physical phenomena when compared to the open-track system presented earlier In the closed-track system we see The torsional vibration and the response frequency are two times the basic speed of the input The follower and cam are constrained together and re ect and exchange their rotation energy throughout the whole cycle Equation (1214) is modi ed by the elimination of the term, krxx = 0, since there is no return spring that gives the second-degree vibration equation for the closed-track camfollower system ( Ic + mx 2 )q c + mx x q c2 + ksq c = ksq i (t ) (1216)

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Of course we could calculate this integral precisely by hand, but the point here is to get some practice with the Trapezoid Rule We calculate 1 1/4 1 1 1 1 S= +2 +2 +2 + 2 1 + 02 1 + 12 1 + ( 1)2 1 + ( 2)2 1 + ( 3)2 4 4 4 A bit of calculation reveals that S= 1 5323 0782794 8 850

FIGURE 1211 Maximum windup ratio bm versus h with Qm as varying parameter open-track (harmonic cam)

Now if we take f ( x) = 1/( 1 + x 2 ) then f ( x) = ( 6x 2 2) /( 1 + x 2 ) 3 Thus, on the interval [0, 1], we have that | f ( x) | 4 = M Thus the error

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FIGURE 1212 Maximum windup ratio bm versus h with Qm as varying parameter open-track (cycloidal cam)

Rearranging for convenience in writing as an exponent ln(5-2p)=-2&-2C and Writing as an exponential (This is the only way to get an equation that reads p = ) we get

0 0 5 10 15 h

estimate for the Trapezoid Rule predicts accuracy of M ( b a) 3 4 13 = 0020833 12k2 12 42 This suggests accuracy of one decimal place Now we know that the true and exact value of the integral is arctan 1 078539816 Thus our Trapezoid Rule approximation is good to two, and nearly to three, decimal places---better than predicted

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Simpson s Rule takes our philosophy another step: If rectangles are good, and trapezoids better, then why not approximate by curves In Simpson s Rule, we approximate by parabolas We have a continuous function f on the interval [a, b] and we have a partition P = {x0 , x1 , , xk } of our partition as usual It is convenient in this technique to assume that we have an even number of intervals in the partition Now each rectangle, over each segment of the partition, is capped off by an arc of a parabola Figure 846 shows just one such rectangle In fact, for each pair of intervals [x2 j 2 , x2 j 1 ], [x2 j 1 , x2 j ], we consider the unique parabola passing through the endpoints (x2 j 2 , f (x2 j 2 )) , (x2 j 1 , f (x2 j 1 )) , (x2 j , f (x2 j )) ( )

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