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.

When we look at surface texture data from a measurement system, we have to consider whether the features we are seeing are real, or whether they might be noise or bad pixels.

In this 60-Second Surface Analysis video we show how you can zoom in on a feature in OmniSurf3D software to see just how many actual measurement points we have for a feature. It’s a very useful tool, and a great sanity check.

Custom software tools, or “helper applications,” can pick up where off-the-shelf instrument software leaves off, filling in features that are absent from native software. In this post we look at how a helper application can add custom parameters, analyses, and displays to native software, to optimize your measurement process.

Join us at the Engine Performance EXPO 2024, January 11-12! Digital Metrology's Mark Malburg will be participating in a number of presentations  and round table discussions with some of racing's biggest technology experts. Join the excitement online or in person.

see below for  a schedule of talks and panels—hope you can join us for some very interesting discussions!

Where's the wear on the porous surface on the left?  There IS a wear scar at the center, but it’s nearly impossible to see within all that porosity. In this joint post with Michigan Metrology, we show how to use a series of "closing" and "opening" filters to isolate features like this wear scar so that we can analyze their volume, depth, etc.

The last time you saw a zebra: was it black with white stripes, or white with black stripes? In this Notepad series we show how “stripes” of light and dark in surface texture can be an indicator of wear. The spacing of those stripes will depend on the surface geometry—and we’ll show you how do tell whether those stripes are due to changes in the longer wavelength waviness or shorter wavelength roughness.