This dataset is the focus of our blog post, How to Remove Shape from a Complex Surface. In the post we show how to use the tools in OmniSurf3D to tame a difficult surface and accurately measure features despite the complicated, underlying surface. Measured via GelSight Mobile. Data source: Asist. Prof. Alp Eren Şahin and … Read more
A quality cast iron pan is a great cooking surface that can last for generations. This dataset shows the surface of a new Lodge cast iron pan, which is shown under the Zygo ZeGage microscope, below. The cast iron is a fairly coarse surface. Looking at statistics for the dataset we can see that the … Read more
Is a non-stick pan surface slippery because it’s smooth? This dataset shows the surface of a Ninja Foodi Never-Stick pan. The surface is extremely durable, even against metal utensils, but will not stick. So, is it slippery because it’s smooth? Not even close! The Sq value is over 6 µm, which is on par with … Read more
How can you tell where a crack will form? It’s particularly difficult for a surface such as this one, with complex texture consisting of machining marks from various operations. Perhaps we would look for the deepest scratches (the blue areas in the image above) to predict where cracking may occur. However, cracks tend to form … Read more
This pair of datasets (Unworn and Worn) provides an excellent, close-to-home example of micro-wear. The measurements are from the worn and unworn areas of the space bar on a computer keyboard. The wear has not completely removed the texture, but it is quite noticeable in this image. The differences will appear dramatically in amplitude parameters … Read more
This pair of datasets (Unworn and Worn) provides an excellent, close-to-home example of micro-wear. The measurements are from the worn and unworn areas of the space bar on a computer keyboard. The wear has not completely removed the texture, but it is quite noticeable in this image. The differences will appear dramatically in amplitude parameters … Read more