When setting up a Z-probe, the values that I set for both search speeds and distances randomly change.
Within the same project or when you start a new project?
They literally change value while Iām setting them. IE: I set the āPrecise Probe Distanceā to 0.5 in then set the āBackoff Distanceā to 0.25 in they will change to 2.7 in and 7.6 in respectively. Or if I change the āSearch Zā to 1 in it will change to 25.4 in which looks like an imperial to metric issue.
Iām using version 0.9.00-RC-1 @ e69d8cc Qt6.11.1
Within the same project. I did a little testing and it only seems to happen if units are set to imperial. When set to metric it works fine.
Is this on the xTool D1 machine?
Please do not start a new posting for the same issue. It makes it difficult for others to benefit from the diagnostic process.
Copied from another Thread.
They literally change value while Iām setting them. IE: I set the āPrecise Probe Distanceā to 0.5 in then set the āBackoff Distanceā to 0.25 in they will change to 2.7 in and 7.6 in respectively. Or if I change the āSearch Zā to 1 in it will change to 25.4 in which looks like an imperial to metric issue.
Iām using version 0.9.00-RC-1 @ e69d8cc Qt6.11.1
Thanks, Mike.
Iāve moved the comments to this thread and closed the other one.
@Fishman I see you did this to post it in the correct category, thanks.
You can also edit your topic and change the category with the pencil icon next to the title. Iāve already done this for this thread.
That absolutely sounds like an imperial to metric issue.
So far, I was unable to repruduce this.
Can you send us your Support Data from āHelp > Generate Support Dataā?
Iād like to investigate which setting might be causing this.
Here it is:
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