We have talked so far about what happens to the middle of the part, now we need to talk about what happens at the left or right edge of the part in a dynamic situation. (Refer back to Figure F-4 GIF 20k)
Assuming the right most edge or left most edge covers a pixel, the question is, for what duration is the pixel covered? Assume from scan to scan that the disk moves .025 inches. Using the formula for a chord of a circle (Figure F-7), (GIF 16k) we need to determine the error at point A and point B.
From earlier calculations, the pixel width in the column axis of 2.84 mils, with .1 inch radius is:
Co = SQRT(4(2*.00284*.1 - .00284~)) = .0476
Once data is captured either by a strobe lamp or by back lighting (shadowing) and stored in the computer memory, statistical averaging is then done in order to improve the data.
EXAMPLE: Using the formula to find how many row pixels should come dark at the same time at the entry and exit, The row resolution is .00225 inches per pixel. Using the formula for a chord of a circle:
.042 mils * pixel/.00225 mils = 18 pixels
This indicates that if 18 pixels are averaged at the max/min points then the resolution and accuracy can be increased by a value of:
SQRT(number of pixels) / 2
Find the midpoint of the circle, then average the 10 pixels on either side (20 pixels)
SQRT(20)/2 = 4.5/2 = approx 2
This suggests a half a digit increase in accuracy.
1.84 mile/.2 diem * 100 = .92% + .23% for Z axis Motion = 1.15%
1.15% / 2 = .575% resolution (after calibration).
From disk to disk, one should be able to resolve each disk to about .6% The design goal was 1%. If it is desired, an out of round figure of merit can also be calculated:
area = pi * R*R
circumference = 2 * pi * R
area/circumference = R/2
Adding the area pixels and dividing by the edge pixels, should give a number close to half the radius pixel as a ratio. The ratio should hold. If it does not, this is an indication of out of roundness. One can also sort parts for rough out-of-round tolerances.