Hi Steve:
Here are my replies to your questions:
1. What would be considered a significant variation in the
cleanliness level?
a. What variation should I see board to board of the same part number
coming off the same process?
b. What variation should I see board to board of different part
numbers, but using similar parameters in the soldering process ?
c. Has anybody studied their flux and soldering parameters to
determine when they see large increases in residues due to adverse
affects on the cleanibility of the flux caused by excessive heat and
dwell ???
The significant variation in cleanliness level will become evident as
part of your statistical analysis. Have you done or do you have access
to a statistical terrorist, for the setting up of a design of
experiment (DOE). The use of a balanced DOE with controllable factors
will tell a great deal about your process. You will need to "fix" some
of the process variables - not necessarily lock up the process
variables you are not investigating at one level but understand how
these "other" process variables change while you conduct your DOE.
Things such as cleaning system load, type of pwb materials that are
being processed, operator induced changes, etc., need to be
understood. You may want to break up your process variables of
interest into smaller chunks and do sequential DOEs to keep your
sample sizes small.
2. What test methodologies would be best used to determine
cleanliness level for this effort?
A DOE is only as good as the response measure used. Many of the
studies I am familiar with have used the Omegameter, SIR coupons,
HPLC, spectrophotometry, or some combination of these tests. I would
recommend using the Omegameter to get an understanding of how your DOE
results relate to an every day process control check, and HPLC to get
a very detailed view of what chemicals are not being removed in the
cleaning cycle. The combination of the science and the practical
should give you a good idea of which set of process parameters give
you the best cleaning. It will also give your statistical terrorist
variables data to analyze and cut down the number of samples you need
to process.
3. Has anyone done a gage R & R on their test methods?
The gauge R&R on HPLC is very good and the same can probably be said
for most analytical tests but I don't know if the Omegameter falls into that
category (I suspect not).
The IPC specification PC-90 on SPC has some good information on DOE
methodology. Also email Doug Pauls at CSL ([log in to unmask]) for a lively
discussion on possible test methods.
Dave Hillman
Rockwell Collins
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Subject: Assy:SPC of cleaning process
Author: [log in to unmask] at ccmgw1
Date: 6/2/96 8:57
We are reviewing our alternative cleaning process for application of SPC
methodologies. The first system to be subjected to the microscope will be
an in-line water cleaner using a water miscible solvent in the wash. During
the course of our evaluation we will attempt to determine the variation in
the temperature, spray pressure, bath concentration, bath loading, belt
speed, and incoming water quality. We also intend to attempt to determine
the impact of the variation of each process element as well as determine any
significant interactions. We have the following questions for comment:
1. What would be considered a significant variation in the cleanliness level?
a. What variation should I see board to board of the same part number
coming off the same process?
b. What variation should I see board to board of different part
numbers, but using similiar parameters in the soldering process ?
c. Has anybody studied their flux and soldering parameters to
determine when they see large increases in residues due to adverse affects
on the cleanibility of the flux caused by excessive heat and dwell ???
2. What test methodologies would be best used to determine cleanliness
level for this effort?
3. Has anyone done a gage R & R on their test methods?
I would also appreciate hearing from anyone who has conducted such a study,
with information on the engineered limits you established.
Your responses are appreciated
Steve Mikell
SCI Systems, Huntsville, ALA
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Steve Mikell, Process Engineer, Soldering & cleaning processes
SCI Systems Plant 13
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