More fun for consumers to argue over..lol
Beta ratios have been around since just after WWII..
They were developed by Oklahoma State University by Dr. Henry Fitch. ( if memory serves ). For the US military as a way of rating specifically a filter which has been manufactured.
However, the usual beta rating is for a specific micron. Say 10. Or 5. Or 1. Or 6. Or 12. Or 25.
As the Fram paper says, you'll see a Beta ratio printed as B10=75.
B..means a Beta test was used.
10..means that is the micron particle size
75...means 98.7% efficient at the micron size particle listed and larger.
Now in hydraulics, they are using B10=200 (99.9% efficient)or even B10=1000 ( 99.99% efficient).
So a beta 200 or 1000 rating.
The reason you don't see these used for automotive use is because they are generally not required by automotive OEM's.
The testing takes a lot longer to do than the usually SAE test. You need the testing equipment.
And there are ways to "enhance" your results, even with a beta test. So the test is not apples for apples unless the tests are run under the same parameters.
Beta ratios have been around since just after WWII..
They were developed by Oklahoma State University by Dr. Henry Fitch. ( if memory serves ). For the US military as a way of rating specifically a filter which has been manufactured.
However, the usual beta rating is for a specific micron. Say 10. Or 5. Or 1. Or 6. Or 12. Or 25.
As the Fram paper says, you'll see a Beta ratio printed as B10=75.
B..means a Beta test was used.
10..means that is the micron particle size
75...means 98.7% efficient at the micron size particle listed and larger.
Now in hydraulics, they are using B10=200 (99.9% efficient)or even B10=1000 ( 99.99% efficient).
So a beta 200 or 1000 rating.
The reason you don't see these used for automotive use is because they are generally not required by automotive OEM's.
The testing takes a lot longer to do than the usually SAE test. You need the testing equipment.
And there are ways to "enhance" your results, even with a beta test. So the test is not apples for apples unless the tests are run under the same parameters.
