Well JT
I was kinda sorta taken back by the difference between the two
family's of pcm's
I was attempting to help Nacho and I'm afraid I may have
added to the confusion or just done a really fine job of
mudding up the water here
I have been thinking about how that Fox stuff might work
It then came to me
... I've now seen this little surprising issue
as an opportunity to help some relate to just one advantage of being
able to data log
I can't tell you how many peeps have asked me Q's like ............
What do you do with the data
or
How can all that data help me
Here is a simple little example
Even though we don't deal with Fox stuff
and
Our pcm doesn't work like that
Still ... follow me for a second and see how you could use the data
to teach yourself the way a Fox works as far as spark values
between those two tables JT so kindly posted up for us all.
If you look at the spark table's top row it seems similar to
our spark table ... but ... as Greg pointed out ... there is that
other data at the very end and unlike that basic table ...
it provides rpm's up to 6K
If you look at the two ... it would seem the basic table gives
< values at 3K
but
The other data give > values at 4K to redline
With datalogging ... you put the dizzy at factory setting
and
do a baseline run to see the actual values.
You then work with the one of two options only ... make
another duplicate test pass ... you then got hard data
to show how your value adjustments effected the spark
curve.
Of course ... tons of info on Fox stuff is available
but
On some things ... like drivability issues ...
You can see several things might be helpful to fix a particular
issue you are trying to improve on
AND
You will not always be able to just copy what someone did
to achieve success with an issue you are currently working
on ... EVEN THOUGH ... the two of you may have very similar
combos
So ... Can you see the method to the madness now
In its most basic simple steps:
1) You pick the two or three suspected values
2) You get a baseline datalog
3) You change one value only
4) You do a duplicate pass of the baseline pass
5) You compare baseline data to changed data
Again ... Hope I did not hinder more than help
Grady