Random number for self-center probing testing

[[na...]]

I wanted to test self-centering probing with slightly different nominal values on each run, so GPT-4 wrote this code for me:

 

// Generate a pseudo-random number using system time and CMM position
LongStringOfNumbers = millisecondClockValue().asString.hash + getPositionCMM().x.asString.hash + getPositionCMM().y.asString.hash + getPositionCMM().z.asString.hash

// Convert the long string to a number
RandomHighValue = val(LongStringOfNumbers)

// Get a random number between 1 and 100
RandomValueBetween = mod(RandomHighValue, 100) + 1

 

I let it run overnight and it worked perfectly, but I'm not sure if I just got lucky or if it might cause unexpected behavior with CMM in the future.

So I all ears for your opinions.

 

Edited yesterday at 12:44 PM

[[Ma...]]

Am i missing something? What it should do?

Machine do self-centering if it's capable of by measuring force direction.

[[Ch...]]

sounds like he was testing by moving nominal position to confirm it would always center into relatively the same position every time...

 

aka just keeping an eye on Calypso... making sure it does what its supposed be doing....

[[Ma...]]

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 - oh - like modifying touch point coordinates sligthly and then checking results how much they differ.

Thanks - i would think about that :-)

[[na...]]

Correct, I imagined this would somehow simulate measuring the work piece with non-perfect fixture. Which turned out, in this case there is no need for it to be perfect.