Revolutionizing Fiber Composite Material Production with Non-Destructive Automated Detection: The FiberRadar Project

The Fraunhofer Institute for High Frequency Physics and Radar Techniques FHR has developed an innovative method that can automatically and non-destructively monitor and identify defects in fiber composite materials during the production process. This capability was previously impossible, and it is particularly significant in the production of wind turbine rotor blades due to the potential for defects to cause undulation or incorrect and twisted fiber orientation in the material.

Defects in Fiber Composite Materials

Fiber composite materials, used primarily in wind turbine rotor blades, consist mostly of glass fiber-reinforced plastics. If they are not appropriately laid out, defects may occur, which could impact the proper functioning of the blades. Therefore, it is crucial to detect defects during the manufacturing of fiber composite materials.

The FiberRadar Project was a collaboration between Fraunhofer FHR, Ruhr University Bochum, FH Aachen University of Applied Sciences, and Aeroconcept GmbH. The project’s objective was to develop a measurement system that could enable the control of manufactured components with unprecedented precision, exceeding what was previously possible.

The FiberRadar project researchers have achieved a significant breakthrough in non-destructive and automated detection by developing a method for checking the alignment of the lower glass fiber layers. For the first time, a millimeter-wave scanning system comprising a radar, a fully polarimetric robot, and imaging software can identify defects during the production process without damaging the product.

The Radar System

The radar system used in the scanning process sends and receives signals in two polarizations, providing high-resolution imaging of fiber structures, thus making it easier to detect any defects in deeper layers. The use of radar in scanning individual layers enables researchers to identify anomalies in fiber orientation and non-destructively examine the entire material volume.

Refraction compensation is a process that enhances the quality of images used by a scanning system. It is particularly important in reducing unwanted refraction effects in deeper layers, and plays a crucial role in detecting defects in the material.

Failure to detect anomalies in fiber orientation can result in defects in the final product, affecting its performance. However, by utilizing radar technology to scan individual layers, researchers can non-destructively identify anomalies in fiber orientation and examine the entire material volume, thereby ensuring high-quality final product.

The FiberRadar project has developed a measurement system that allows for precise production and control of fiber composite materials, surpassing the levels of accuracy that were achievable previously. By adopting this production method, manufacturers can guarantee superior quality of their final product, ensuring it functions as intended.

In conclusion, the FiberRadar project by the Fraunhofer Institute for High Frequency Physics and Radar Techniques FHR is revolutionizing the production of fiber composite materials, particularly in the manufacturing of wind turbine rotor blades. The project’s non-destructive and automated detection method can efficiently detect any defects during the production process, resulting in a final product that is of high quality and functions as expected.

Explore more

Can Jamf Beacon Bridge the Mac Security Expertise Gap?

The rapid proliferation of Apple hardware across enterprise networks has created a distinct disparity between the aesthetic preference of employees and the technical readiness of the security teams responsible for protecting them. As organizations increasingly integrate these devices into high-stakes workflows, the lack of specialized macOS knowledge within traditional IT departments becomes a glaring vulnerability. Jamf Beacon emerges as a

Aflac Japan Data Breach Impacts 4.4 Million Customers

Dominic Jainy is a veteran in the tech space, navigating the complex intersection of cybersecurity and artificial intelligence. With years of experience protecting high-stakes data through machine learning and blockchain, he offers a unique vantage point on why even the biggest insurance titans remain vulnerable to sophisticated extortion groups. Today, we delve into the recent security catastrophe at Aflac Japan,

Power Availability Dictates EMEA Data Center Growth

The unrelenting expansion of high-performance computing and artificial intelligence workloads across the European, Middle Eastern, and African markets has transformed energy procurement into the primary competitive differentiator for infrastructure developers today. While geographic proximity to end-users remains a relevant factor, the sheer scale of current deployments necessitates a pivot toward regions where the electrical grid can support multi-hundred megawatt campuses

How Does ARToken Bypass Microsoft 365 MFA?

A typical office worker receives a routine notification from what appears to be a legitimate SharePoint site, asking for a quick verification code to view a shared document. This seemingly harmless request arrives as an alphanumeric code on a professional Microsoft page, inviting the user to “verify” an identity. Because the interaction occurs entirely within official Microsoft domains, the employee

Is Your Oracle EBS Data Safe From Active Cyber Attacks?

Introduction Enterprise resource planning systems serve as the digital backbone of global commerce, yet hundreds of these critical platforms currently sit exposed to predatory actors on the open internet. Recent data reveals that nearly 950 Oracle E-Business Suite instances are directly reachable via the web, bypassing traditional security perimeters. This exposure coincides with the active exploitation of vulnerabilities that grant