Firstly, thank you very much for the effort in this study.
A quick question on the figure being chosen to measure wear.
You took the absolute iron wear and compared it across all the samples.
But isn't it the case that all the UOA's have an iron wear number and an average iron wear number for that engine.
Wouldn't we be more interested in knowing the performance difference against the average iron levels?
It strikes me that comparing the absolute number introduces the bias of the actual engine that was being used. M1 might have been used in engines with high iron wear tendencies, PP might have been used in engines with low iron wear tendencies.
The engine, engine age / condition, OCI, driving style, weather are all the factors unique to the results of a UOA. Shouldn't we be trying to minimize their influences as much as possible? It seems that engine, engine age, OCI are all factors that are excludeable from the data you collected in the spreadsheet.
A quick question on the figure being chosen to measure wear.
You took the absolute iron wear and compared it across all the samples.
But isn't it the case that all the UOA's have an iron wear number and an average iron wear number for that engine.
Wouldn't we be more interested in knowing the performance difference against the average iron levels?
It strikes me that comparing the absolute number introduces the bias of the actual engine that was being used. M1 might have been used in engines with high iron wear tendencies, PP might have been used in engines with low iron wear tendencies.
The engine, engine age / condition, OCI, driving style, weather are all the factors unique to the results of a UOA. Shouldn't we be trying to minimize their influences as much as possible? It seems that engine, engine age, OCI are all factors that are excludeable from the data you collected in the spreadsheet.