Nope - does not prove what you believe it does. If you think these are good evidence, then I ask you to give direct, specific citation (page and paragraph) so that I can counter your points.
NONE of those studies compares/contrasts how one properly managed system performs relative to the alternative. All these studies you folks point to are one-sided; they only study how things are viewed relative to the manipulation of the criteria for the bias of the bypass system.
I have yet to see one single study that shows how a typical FF system (managed to its best result) compares/contrasts to a BP (also managed to its best result), in moderate OCIs.
710813 - Pages 12 Figures 23 and 24 compares FF to FF and BP actual on the highway, no loaded sumps, real oil, normal OCI, of dump trucks over 120,000 miles. Read the article carefully, they almost sneak this test in as an afterthought. "Also included in these test data are comparisons with the wear obtained in the truck test using the 40 micron full flow filter and the 40 micron full flow filter in combination with the bypass filter. The results of the truck test with no intentional contaminant fed to the engine crankcase showed definite reduction in all engine component wear, but the percentage reduction was less than the dynamometer tests."
840453 - Figure 7 "Road Test With Standard Filtration Compared to Double Filtration " meaning FF to FF & BP. This compares the actual measured wear rates of road going delivery trucks with no special treatment to the oil. Wear is reduced around 50%.
902238 - Figure 7 FIlter "C" is the FF & BP combination with a 3 micron bypass. Notice wear is less than 50% of the 20 micron FF "B" and about 10% of the 40 micron FF "A". Read the whole article carefully. The 3 micron filter is a bypass filter, not a full flow filter.
"Bypass filtration, when used in conjunction with full flow filtration, provides an additional level or protection in terms of further reduced particle concentrations". The particle concentrations they are talking about are wear metals determined by full particle counts of each metal.
These articles all have real world tests in real world trucks with no loading the sump with abrasives and regular OCI's. They all have similar results. If this isn't proof what is? I have even more convincing tests from filter manufacturers, but they sell the things.
I will explain this one last time and then I'm going to exit ...
These studies (at least some of them) have practically no value. Others do some have some credible data, but not in context of this discussion.
Those studies you speak of do NOT address the concept of normal data and variance.
YES, FOLKS, I DO REALIZE THAT FINER FILTRATION REDUCES PARTICULATE LOADING; I AM NOT ADVERSE TO THAT CONCEPT. BUT THAT HAS NOTHING TO DO WITH MY POINT.
How does filtration affect wear in terms of normalized data, both in micro and macro viewpoints? NONE of these studies address this incredibly important topic.
Allow me to make an example with some real numbers. Go read my "normalcy" article and then we'll use that data for comparison/contrast.
Using the 4.6L Ford engine data, we see that the "average" Fe per 1k miles is 2.6ppm.
That same macro data shows us that the stdev is 1.8ppm / 1k miles; a "normal" engine would see up to 5.4ppm variance per 1k miles.
So if you decided to put a BP filter on your 4.6L engine, perhaps it may "reduce" the Fe wear rate by 50%. But 50% reduction is MUCH smaller than the "normal" variance. You'll never be able to discern the reduction in terms of normal wear! If you take 2.6ppm/1k miles and subtract 50%, you end up with 1.3ppm/1k miles. That's great! Except for one thing ... it's completely normal to "vary" up and down with daily/weekly/annual events. Your "variance" is not yet proven to shift the wear rate OUTSIDE of NORMAL expectations! Whereas the BP filter may or may not (yet to be proven via studies) narrow the sigman variance, it does not shift the variance statistically from inside the data-stream. It's mathematically impossible! If the % shift is smaller than 100, relative to one sigma, then it can never affect the data of "normal" 3-sigma range. Cannot be done! Not ever!
BTW - the micro example of the Vulcan 3.0 shows the exact same conditions, but in a different format. 2.9ppm/1k miles average with a variance of 1.3ppm/1k miles. If you drop the Fe using BP by 50% you shift 1.4ppm. But the "normal" variance is 1.3ppm. How can you ever expect to really "see" the effect of bypass when the "normal" variance is almost exactly the same magnitude of the BP effect? That math simply precludes one from doing so! The gage R&R has not even been established for such trials to my knowledge, and so arguing about tenths or thousandths of ppm is meaningless! I round these to one decimal for the sake of consumption, but the pragmatic application belies the real data. You cannot accurately state that BP has a "real" effect when it cannot even shift the effect outside of "normal" variance.
All these filtration studies can essentially be lumped into two groups:
1) the absurd, because the test parameters do not, in any way, represent real world conditions
2) tests that are based in real world conditions, but never establish the "normal" expected variance of either FF or BP filtration.
All these "real world" studies you guys point to have never, ever seen any statistical presence applied. They only look at a singular snap-shot and speak nothing to how much the change actually affects the overall effect. There is no true scientist or test-engineer worth his salt that ONLY looks at the data within a test, but does not compare/contrast that data to what is typically expected outside the test.
Also, one should never presume that any perceived improvement is applicable across the entire spectrum of duration. Some measure of "better" is not true at any other point unless proven to be so. When you see a study that shows "75%" reduction in wear, that is often a statement of the top magnitude seen but it is NOT applicable across the whole test parameter. This is why I state it so very important to understand the parameters of the test and compare/contrast apples-to-apples; how does the "best" of one methodology rate against another "best" methodology? That "improvement" you see may have been taken when one system is already compromised. That is true of a few of these studies you all point to!
NONE OF THE STUDIES REGARDING FILTRATION IN THE SAE JOURNALS THAT I'VE EVER SEEN ADDRESS THIS TOPIC. The studies do show correlation to finer filtration reducing wear, but they do NOT address the topic of how that reduction relates to normal daily variance.
From what data I have mined, the filtration studies that actually represent some form of real world application have never shown an ability to affect the data stream OUTSIDE of normal variance expectations. Whereas it may or may not be possible, I am 100% confident I have not seen one done in such a manner.
The real way to answer this question (does BP filtration actually make a difference in short-to-moderate OCIs?) would be to do large macro data field trials. This would be very expensive and time consuming; no company has done such to date that I'm aware of.
It is incredibly narrow-minded and nearly stupid to simply presume that because you see a wear-rate shift, it actually makes a tangible difference in "normal" applications. But that does not stop the general population from making such folly their daily routine.
There is a sign in my office that reads thus:
I can explain it to you, but I cannot understand it for you.
You either get this or you don't.
There is no study I am aware of that shows how finer filtration has any real world effect in terms of "normal" variance for short-to-moderate OCIs. Never been done, and I challenge any of you to prove otherwise. Once the typical FF filter is "good enough", altering the filtration tighter past that point has essentially no realized effect.
Please stop pointing to studies that you don't understand, where the studies do NOT address the topic at hand, and acting like you've discovered gold, because you're embarrassing yourself, whether you realize it or not.
I apologize for my rudeness, but at some point, it's just silly when I have to keep explaining and repeating and yet no one understands. Yes - I'm being blunt and border-line mean. I get that. But you all DON'T get what I'm trying to teach you.
I'm done here.
.