• 8-Tree waveCHECK Makes Blade Wrinkle Detection Simple

  • Feb 13 2025
  • Length: 26 mins
  • Podcast

8-Tree waveCHECK Makes Blade Wrinkle Detection Simple

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  • In this Uptime Spotlight, Erik Klaas and Johannes Leib from 8-Tree discuss their waveCHECK system, which detects and measures surface defects on wind turbine blades. The system uses 3D optical scanning technology to identify wrinkles and other issues with high precision, helping improve quality control in blade manufacturing and maintenance. Fill out our Uptime listener survey and enter to win an Uptime mug! Sign up now for Uptime Tech News, our weekly email update on all things wind technology. This episode is sponsored by Weather Guard Lightning Tech. Learn more about Weather Guard's StrikeTape Wind Turbine LPS retrofit. Follow the show on Facebook, YouTube, Twitter, Linkedin and visit Weather Guard on the web. And subscribe to Rosemary Barnes' YouTube channel here. Have a question we can answer on the show? Email us! Allen Hall: Welcome to the Uptime Wind Energy Podcast Spotlight. I'm your host, Allen Hall, along with my co host, Joel Saxum. Today, we're diving into revolutionary blade inspection technology from 8-Tree. 8-Tree's WaveCheck system uses 3D optical scanning and augmented reality to detect and measure surface defects on wind turned blades with unprecedented precision. Joining us is Erik Klaas, the co founder and CTO of 8-Tree, and Johannes Leib, a program manager with 8-Tree, who brings over 15 years of wind blade industry experience, specializing in composites and fiber reinforced plastics. Joel Saxum: Welcome to Uptime Spotlight, shining light on wind energy's brightest innovators. This is the Progress Powering Tomorrow. Allen Hall: Erik and Johannes, welcome to the show. Erik Klaas: We are glad to be on your podcast. Allen Hall: I'm excited to talk to both of you because I've seen your technology on YouTube quite a bit and now on LinkedIn and it's quite impressive. And I want to start by asking really, how are you trying to handle wrinkles? It seems like wrinkles are a huge problem in the wind industry. They're hard to detect and we're getting escapes out of the factory. You want to discuss how big of an issue wrinkles are. And Blades is at the moment. Erik Klaas: Yeah, most likely this is a good topic for Johannes to speak about for one hour. But as I got into this business late, maybe I get to give you my perspective. So when I got into the wind business first, our legacy is in aerospace. So I saw a wrinkle and I never thought it could be such a problem or lead to catastrophic results. What is a wrinkle? I happen to have a separate part here. Which is a mock up that we did. We do this for testing our system. A wrinkle basically is a deviation in the glass fiber layup of a turbine blade. And it's very small, so you can't even almost not see it. But it can lead to the blade cracking in these particular areas where the wrinkle happens. And therefore, the inspector's task is to measure how wide and how high is a wrinkle. And so the ratio between width and height is what they then calculate, and there's a limit to that ratio. And that is what an inspector has to do. And currently, they are doing it with hand tools. And a hand tool is a Dial gauge or it can be what they call a comp gauge. So they push it on the surface so they get the contour of this wrinkle and then with that contour they measure actually the width and the height of it. Allen Hall: It can be very difficult to detect some of these wrinkles because the laminates in these longer blades, the laminate is very thick. So if you have a wrinkle somewhere in the middle of this laminate, the surface Defect or the surface curvature change is minuscule, right? Erik Klaas: It is. And there is a limitation of our technology that I need to speak about. So we can only detect and measure those which are on the top layer. So if they go through the whole layup of layers and they are visible on the surface, we can measure them. And if they only appear in deeper layers, we can't. So you need like NDT measures,
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