Caliper Distance Vs. Min/Max Coordinate

[[Do...]]

Hi all,

This seemed to be a simple question, but I am seeing varying results using both methods and wanted some additional clarification. I have two opposing planes, and I need the minimum and maximum values between the two. My first thought was to use caliper distance as I can easily select those options and refer to my alignment. Is this the ideal way to do this? I tried using the min and max coordinates and then used a cartesian distance between those values (referencing one plane as the axis of rotation) and I see much different results. 

Is there a preferred method to use and why would I see different results between these types of measurements?

Thanks in advance

[[Cl...]]

In the feature evaluation you can set the planes to Inner or Outer Tangential, giving you the min (lowest points) or the max (highest points).

That might actually be what the choices in caliper distance are doing. Perpendicular length is what I tend to use a lot.

Edited Friday at 06:19 PM

[[Du...]]

I had this same issue yesterday, didn't get to spend too much time with it yet but I would assume caliper distance uses the two farthest points away from nominal and calculates your min and max values. A better option would probably be to create a symmetry plane between the two and use the two-point distance characteristic.

[[Ma...]]

When those two planes are not parallel, then cartesian distance will give you two different results when its Plane1 -> Plane2 and Plane2 -> Plane1

It depends on drawing and usage to answer you question which to use. Both methods varies in usage

Edit:
On caliper distance you can set min/max from measured points or feature - result can vary

Edited Friday at 06:29 PM

[[Cl...]]

Please sign in to view this quote.

The symmetry plane itself gives you the distance.

[[Do...]]

Please sign in to view this quote.

I like the idea of this two-point distance characteristic as it reports out the min and max results and shows up graphically.

[[Cl...]]

👍

[[Je...]]

 

Please sign in to view this quote.

Dustin,

Just wanted to mention that I appreciate that way you used Calypso in this instance for graphical reporting and for using the symmetry place construction to evaluate 2-Point distance (local size), which can also simulate exceptions to Rule #1 (envelope principle) but is often the right choice depending on the application.

Nice work.

I love when metrologists can show the result rather than simply reporting a number.  It's a powerful form of geometric communication.

Edited Sunday at 08:57 PM