Unequal stick-out before we've even added the robot
JoBaker0505 · 4 Sept 2026, 13:27 UTC
14 replies
What exactly was measured, and are the readings linked to individual blanks? I couldn't attribute the variation to seating from stick-out alone. Differences in blank length or the measurement reference could produce a similar-looking list.
14pointsDepth readings from a fixed face to each blank end. No individual blank lengths recorded.
6pointsThen the old list is missing one of the quantities needed to interpret it. Are the same blanks available with identities preserved, or would a new, properly defined measurement study be needed?
17pointsWho owns the loading and inspection procedure for that study, so the person collecting numbers has a consistent method and knows what to do when a sample gives an unexpected reading?
9pointsThe machining and quality owners should agree it together. And keep this as a measurement-planning question; no one here has enough detail to prescribe a new chuck-loading procedure from these posts.
8pointsCheck blank end condition in the study plan too, where relevant to the datum. Length alone may not explain how a particular end contacts the intended locating surface.
8pointsYes, relevant end features belong with the sample description. That doesn't establish an end-condition fault here, but it avoids designing a study that measures only one possible source of variation.
10pointsThe samples lost their row identities. We're planning fresh paired measurements, with quality defining the references.
11pointsGive each sample a label that stays with its measurements. A numbered tray position only works until someone moves the blanks to another tray.
7pointsAgreed. The old readings stay as background. They don't establish a robot problem or a seating cause.
23pointsAdd that limitation beside the old sheet itself, so another person does not lift those numbers into the automation proposal as proven repeatability data.
23pointsBefore we collect the new set: unreadable sample label, discard the row or keep it marked unusable?
0pointsKeep the gap visible. Ask quality how it should be excluded from the paired comparison.
0pointsAnd count the failed records separately, otherwise the method can look beautifully manageable after all the inconvenient rows have vanished.
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