Week 9 Performance Review Meeting Minutes
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Week 9 Performance Review Meeting Minutes Present Data to Bill & Mike
Justify ANOVA assumptions
Two Response (full factorial) o Standard deviation o Average pressure
Average pressure taken from “whole” paper
Better std dev. @ 1.9 degrees, 130 lbs per cell, portrait o Little effect from compliance
Angle to minimize std. dev. = 1.91 degrees
Observed that 1.9 degree skew dramatically decreases standard dev.
Mike is concerned that other effects might make 2.4 degree skew or some other skew angle more optimal.
“Tornado” look on versus fits of residual o Mirrored about x-axis because of 2 replicates . Std dev. About 2 points a concern
Un-randomized the skew angle for ease of testing
Might be useful to normalize standard deviation o Help to identify outliers
P-values were a decimal place off in presentation slides
Insert label differentiating between 2nd, 3rd, & 4th order interactions
Factors we couldn’t control (load and paper orientation) o Load and orientation can be “set” or optimized because customer will want to change these based on what they are printing o We can’t say the best std. dev needs to be run at this orientation and load . No data if customer chose to run prototype at 250lbs o Compliance had little effect on std. dev or average pressure o So skew angle is only factor we can definitely control.
Need signal / noise based on paper orientation o Get from minitab Other factors we would have chosen: o Assembly method o Machine quality of rollers (tolerances, concentricity, etc)
Mike would have fixed orientation and load and looked at factors customer would change that (+) or (-) affect uniformity
Conclusion o Abaqus model on target o Several configurations fell into acceptable range. o No setup or paper orientation / load that can give us 10% pressure variation o Perhaps change resolution of scanner? (question for Tony) . Would have to rescan results
Other suggestions: o Use std dev or five vertical lines of each run/test configuration
Prep for Final Review: Capture data in ½ hour presentation 10-15 slides