That presents a problem. Ih is widely discussed and is sometimes published, so we have a pretty good idea of its magnitude. Iv is not. How do we go about estimating a good value for Iv? Unfortunately, I'm not set up with a Finite Element Analysis program. Every shop that does actual clubhead design uses such programs the way a carpenter uses a Skilsaw. It computes as you design, keeping track of total mass, moment of inertia, stresses, flexes, etc. But I don't have that tool, and I'm not going to compute by hand the MOI of a complex shape like a driver head.
s =
58,830 Vb C y
Iv(Equation 3)
![]() Figure 2-1 (From the FEKO web site) It is possible to compute the Ih and Iv for an oblate spheroid. Assuming the spheroid is not solid, but rather a shell of uniform thickness, the equations are: Ih = 2/3 m a2Using a typical driver mass of 200g, the computed moments of inertia are: Ih = 4550 gram-cm2 |
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| This is pretty good. The computed Ih is
very close to the average of the moments of inertia we got from the inpakuto.com
web site (4575). But, before I injure myself patting myself on the back, I better note that it is well below the norm for the values in the Golfsmith catalog. Moreover, it does not show much promise of getting near the legal limit set by the Rules. Here is my explanation why the formula should give realistic but low-end values of MOI. Until quite recently, 460cc heads had significantly higher moments of inertia than previous, smaller heads. So designers were happy to sell them as improvements. A few years ago, there was competitive parity at that point -- 4200 to 4500 g-cm2 -- so designers looked for new ways to increase MOI. They did it by abandoning the uniform thin shell (the assumption in our oblate spheroid model), and lightening some parts of the shell so they could add weight elsewhere and increase the MOI. (In the business, this is called "discretionary weight": weight that is not necessary for structural integrity, so it can be moved to affect things like MOI or CG position.) ![]() Figure 2-2 Using discretionary weight produces a higher Ih than our model accounts for. But what does this do to Iv? Figure 2-2 shows:
There are two distinctly different possibilities of the best way to estimate Iv. Without actually measuring heads -- which I am not equipped to do, and such measurements are not widely published -- it is hard to tell which of the two views of Iv is closer to fact. FWIW, here they are:
s = 25 Vb y (Equation 3a)Once again, let's run some real numbers as a sanity test, and compare them with any data that might be around. We will start with our old standby of 150mph ball speed and 11º of loft. We will assume a face roll of 12" radius, same as the bulge. A center-face hit (y=0) will give a distance of 241 yards, as we expected. Let's move up on the face as high as we dare without losing COR. I'd estimate that to be about 5/8", based on measuring the same drivers I did before. Equation 3a becomes s = 25 Vb y = 25 * 150 * .625 = 2344rpmThat's a lot of spin! And it comes straight off the backspin applied by loft. (Assuming, of course, that the clubhead can rotate freely -- a question we address at the end of this article. But for now let's assume that clubhead rotation is unrestricted.) How does this square with other investigators of vertical gear effect? Almost everyone I know of has reported much smaller numbers, seldom above 500rpm. Almost everyone. But Dana Upshaw has published data suggesting numbers in this general range. His launch monitor numbers -- 3300rpm difference in spin for a 1.5" difference in height at a ball speed of about 140mph -- are about 63% of the equation's estimate. Not the same, but in the ballpark. Spin optimizationSince the contribution of vertical gear effect spin is obviously substantial, we need to ask what it does to the trajectory and the distance. We know that many (perhaps all) golfers will get more total distance with a higher launch angle and less spin than they'd get from a normal center hit on a driver of the "best" loft for their clubhead speed. But that's "and", not "or"; if you increase launch angle at the expense of higher spin, or vice versa, you will lose distance, not gain it. And there are only two ways of independently adjusting launch angle and spin to accomlish this:
What happens if we keep the launch angle, but cut the backspin by the amount of gear effect? 3987rpm backspin minus 2344rpm gear effect is 1643rpm net backspin? Whoops! We just lost even more distance. Now we're only 230 yards, down 11 yards from the original 241. We obviously needed some of that spin. But not all of it. A quick optimization with TrajectoWare Drive says a gear effect spin of about 1000rpm would be optimal for that 12° launch. It would cut the spin to just under 3000rpm, add a few yards to the carry, and keep the angle of descent at a reasonable 37°. There must be some reason we are told to hit high on the face. A few possibilities:
Conclusions:
It has been said that god is in the details. There is one detail we have been ignoring. ![]() Figure 2-3 So far, we have treated the force as being in the direction of the clubhead's movement, as shown in the left image of Figure 2-3. Let's remember that the force is Newton's "equal and opposite reaction" to the departure of the golf ball. A more accurate picture would have the force exactly opposite the departure direction of the ball -- the launch angle -- as shown in the right image of Figure 2-3. This will make a very small difference in C and a much larger difference in y, both in such a direction as to reduce the gear effect. Specifically: C = D cos aWhere
This is more like it! This is what we should have expected. We can wring quite a few extra yards of carry out of a strike 1/2" to 3/4" above the center of the clubface -- and get a bonus of more roll after landing (a consequence of the lower angle of descent). A few points to carry away from this table:
The conclusion from this is that vertical gear effect is a very good reason to try to hit your driver high on the clubface. Before we leave the subject, I'd like to point out that the real gains will probably be smaller than those in the table. The table was based on a ball speed of 150mph for all the rows. But there are small losses of ball speed as impact moves up the face, due to:
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As we did with the
horizontal gear effect, we ought to check the
mathematical model against real-world numbers. I was unable to come up
with any real data to check against the model when I wrote the article.
During subsequent discussion on the TWGT forum,
Darryl Green
pointed to some recently-published data. There was an article in the
Feb 2009 issue of Golf Magazine, disclosing a very
useful set of data taken by Hotstix. They set up a robot to hit a driver from various tee heights, resulting in different impact heights on the clubface. They used a driver that looks like it might be a TaylorMade model, but did not identify it. They described it as a 460cc driver with nominally a 9.5° loft. All the test data was taken at a clubhead speed of 100mph. They measured hits on-center, a quarter inch above and below center, and a half inch above and below center. The data they published for each of those positions were:
This is sufficient information to give the model a workout. In fact, we don't even need the distance data. The important thing is to determine if a 100mph clubhead speed and the given face heights and launch angles, when fed to the model, gives the same backspin that Hotstix measured. Here's a table of how the model fared. |
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And here's where each column in the table comes from:
![]() Figure 2-5 Given the coarseness of the assumptions, there is a remarkably good match between data and model. Three of the five data points are within 4%, which is scary-good considering how we approximated the MOI and CG depth. The other two points are off by only 10% and 14%. And they are not clustered together at one end of the data, which might have suggested a trend that the model was missing. Bottom line: the data strongly suggests the model is close enough to reality to be very useful. |
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Improving the matchGiven how good the match is, I should probably just give it a rest and declare success. But let's see if sharpening our assumptions could make the match even better. What parts of our model should we allow to change, and what parts are just Newtonian physics and obviously correct? Let's look at equation 3, the basis of the model:
With a CG depth of 1.1", all the errors are below 10%. No amount of fooling with Iv did much to reduce the error. That is a plausible set of values. The CG depth is at the low end of the data we used earlier (from the Alba magazine study), but still within range. Now, remember that we don't know much about the specific driver Hotstix used for the test. If it had a relatively short CG depth, then the model should be using something like 1.1" for C. Could it be even better? Not with the raw data we have. I think we are bumping up against the limits of measurement error at this point. There are "wiggles" when we plot the data -- spin vs face height and launch angle vs face height -- that suggest inaccuracies in the measurements. To test this, I smoothed the data using a best-fit second-order polynomial for spin and launch angle. (I didn't want to force a best-fit straight line, in case the real underlying effect is nonlinear. Including a second-order term allows curvature but not enough wiggling to be able to fit any five data points arbitrarily.) The results are shown in Figure 2-6. ![]() Figure 2-6 We see that the differences between the data and the line are less than 100rpm for the spin data and less than 0.2 degrees for the launch angle data. If you are familiar with how spin and launch angle are measured, you know that these could easily be measurement error. It is really quite creditable how good the measurements are. What I did next was re-plot the model's output using the "smoothed" data -- the best-fit curves -- instead of the raw data. Now the model fit even better. With a CG depth of 1.1" and a coefficient of 25, only one point was over 4% error, and that was 6.6%. And, if I played more with the model, at 1.0" and 23.5 the errors were all under 3%. Conclusion: With the match between the model and the data, the model is accurate enough to be very useful. For the remainder of this article, we will continue with the model using a coefficient of 25, because that is plenty close enough to the data. We will also stay with C=1.3" for the "generic" driver, though we will use the actual C if we know it. |
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