I will disagree, respectfully, with some of what is said below ...
I use my training in statistical analysis and over 32k UOAs I've got in my database to make my argument.
UOAs aren't good for comparing wear between different oils.
They most certainly can be, but you've not delineated between micro and macro sample methodologies. I've harped on this hundreds of times over my 20+ years here.
I agree that a few samples cannot provide enough data to make a good conclusion.
Most certainly, if one had 30 samples of oil A and 30 samples of oil B, used in the same application, then UOAs can provide enough information to make a reasonable conclusion. The problem is that 60 (sixty!) samples represents hundreds of thousands of miles and hundreds of dollars of UOAs. Pretty much no one here has the time and money to do a PROPER statistical analysis of two or more lubes.
UOAs test the serviceability of the oil. After 100,000 miles of 2 oils (of very different quality and/or viscosity) in identical engines with identical use, both could show consistent 1 ppm/1k miles, but one of them could have far more piston deposits, ring coking, blow-by, oil consumption, seal degradation/leaks, sludge, and varnish than the other.
I would agree. But those other parameters you mention (deposits, etc) aren't measured by a UOA anyway. UOAs tell us two things:
- how is the lube holding up; this is a direct view of the oil's condition
- how is the engine reacting to the lube; this is an indirect view of the equipment's condition (taken as an inference)
The UOA can tell us about what comes out of the crankcase, but it cannot tell us about what stayed stuck to the internal parts. And absent of a tear-down of the engine, no other wear tool can tell you that either.
It could also have higher wear that won't show up in UOAs because of the range of particle size the ICP captures and some wear metals getting trapped in carbonaceous deposits as they form. Factors like magnets and bypass filters will skew results.
True as well. But UOAs are a tool which provides a partial view. When things are otherwise running well, the vast majority of wear is small stuff. If you've got metal particulate in the lube which is too large to be seen by a UOA, then you've probably got big problems afoot.
UOAs also cannot determine the source of wear. Copper could be bearing wear or could just merely be chelation from an oil cooler or brass fitting. Iron could be wear from rings, valvetrain, crank journals, etc... or could be from rust of an iron block.
I would agree. But UOAs can narrow the choices down, and with some investigative understanding of the equipment (such as does it have a cooler with Cu or not), you can make some educated inferences.
Other forms of analysis like ferrous spectroscopy could better determine these things but now you're getting well outside the scope (and cost) of a UOA.
And here, you've hit the nail on the head. UOAs are a very cost effective and easy tool to employ. Whereas other tools to measure wear do exist, they are WAY past the time/money/technology limits of most causal users. UOAs are not as telling as an engine autopsy; pulling out bearings and cams/cranks/pistons will certainly give a more accurate indication of wear. But who's got the time/money to tear down and reassemble an engine every 5k miles to check wear???? The answer is obvious ... no one. Other tools like ferrous spectroscopy are also way outside of the reach of Joe Average; as you acknowledge.
The only way you can accurately measure wear between 2 oils is with extensively controlled conditions on a dyno with before and after measurements with a profilometer for peaks and valleys on metal surfaces (particularly cylinder walls and rings), adcole machine for measuring cam wear down to a millionth of a inch, and so on. Simulation testing like Te-77 and SRV can give a good idea of that oil's performance, alongside rust, copper corrosion, and other tests.
Again - I disagree.
UOAs most certainly can be done to distinguish similarities and differences in wear. But the key is to employ the tool in the balancing act of time/money/effort.
The better way to use UOAs is to take your singular samples and compare/contrast them to Marco data norms. That way, you understand how well your one engine is fairing relative to well-established trends and variations.
Singular UOAs are NOT to be used to compare/contrast two products; that is bad methodology.
Singular UOAs can be used to judge how your equipment (engine, trans, diff, etc) is performing relative to the rest of its peers. That's where reasonable cost and effort meet up with sensible conclusions.
I offer this for a more detailed explanation and understanding:
https://bobistheoilguy.com/used-oil-analysis-how-to-decide-what-is-normal/
The bottom line is that UOAs can most certainly be used to measure wear, relative to two or more lubes. It's just that people don't generally understand the proper method to use the tool, and don't have the time/money to do it right. Rather than saying UOAs can't do the job, which is inaccurate to claim, it's more appropriate to say that most folks don't have the understanding and resources to do it properly.
Most simply stated ...
Don't blame the tool for the limitations of the user.