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Analyzing wear depth is not something you’d usually think of as “fun”…but with the Wear Analysis in OmniSurf3D, it kind of is! In this video we use the Wear Analysis tool to quickly measure the depth and volume of a wear scar. The whole process is super-fast and really intuitive.

You have a worn component...but worn by how much? Or, perhaps you have several parts that have worn differently, and you need to know why. 

The new Wear Analysis tool in OmniSurf3D lets you see the wear and describe it numerically, in just a few clicks. It can even handle complex underlying geometries. 

See it in action in this video! 

What do you do when your measurements don’t match what your supplier or customer measured?  In this Notepad Series video we show you a technique that can help you compare the measurements—not just the differences in the average values but also the variability in the measurements. It’s very helpful for interpreting differences in data.

At the upcoming 78th STLE Annual Meeting & Exhibition, Dr. Malburg with present, "Measuring Wear the Right Way," discussing how modern tools and methods for assessing macro and micro wear can help to avoid costly decision making errors. 

78th STLE Annual Meeting & Exhibition, Minneapolis Convention Center, Minneapolis, MN

Session 7K, Wear I, Thursday, May 23, Room 200 B, 9:00 am - 9:20 am

Viewing surface data in OmniSurf3D software is almost the best way to see and explore it. But you can take it one step further and 3D print a surface that you can actually hold in your hand. In this video we show you how you can 3D print surface texture from OmniSurf3D that you can see, touch, and share.

We love sharing what we learn about surfaces—so it's great to hear when that information has made an impact Not long ago some Scouts BSA members landed on our Notepad Series videos, which sparked them to take the initiative to learn more about surface texture. That led to an Engineering merit badge...and then some! Read all about it in this Surface Notes blog post.

3D texture data can look like a solid, continuous surface. But in reality, there’s space between the measured pixels, and some of those pixels may not have been measured at all.

Missing Data Fill is a pre-processing step that bridges those bad pixels, making data easier to interpret. But sometimes looking at the Raw data, before data fill, can be instructive as well.

In this 60-Second Surface Analysis video we look at how Missing Data Fill can smooth out missing pixels in surface roughness data. We also look at how you can use the Raw data view to check whether that missing data is a concern, or not.