Let's talk about accuracy!
Why µCMM is the most accurate optical coordinate measuring machine
Request your recording here shortly!
Welcome to our Webinar: Let's talk about accuracy!
We invite you to explore why µCMM is the most accurate optical coordinate measuring machine
µCMM will soon celebrate its third birthday. With the launch of the first purely optical micro-coordinate measuring machine, the current metrology market has changed significantly. Engineers, production managers, quality managers, etc. now have a non-contact measurement system available that can be applied where established tactile and optical methods are no longer sufficient. This particularly comes into play when you need to deal with modern, complex micro precision components. In this webinar, we explain why there is no other optical coordinate machine on the market that provides a comparably high accuracy when measuring those parts.
After these 40 minutes you will know
- why the length measurement deviation of theµCMM remains below E = (0.8 +L/600) µm in the entire measurement volume of 310x310x310mm and what role calibration and adjustment play in this process
- which standards exist for verifying the length measurement and overall performance of a coordinate measuring machine (i.e. ISO 103060-2, VDI/VDE 2617, ISO 1101) and how you can benefit from them
- how to determine the measurement process capability and thus determine whether µCMM is suitable for your measuring task
We look forward to seeing you!
If you find the topic interesting but don't have time, register anyway! You´ll receive a recording of the webinar afterwards.
Thursday, 2 December 2021
Recommended for EUROPE and ASIA:
Recommended for AMERICA:
Pacific Standard Time (PST), e.g. Los Angeles – 9:00 am
Central Standard Time (CST), e.g. Chicago – 11:00 am
Eastern Standard Time (EST), e.g. New York – 12:00 pm
No time to attend?
Register anyway - we will send you a recording after the webinar!
Meet the Presenters
Sr. Applications Engineer
The optical µCMM
Measure dimension, position, shape and roughness with only one sensor.
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