Werkstattgerechte Schadensanalyse in CFK-Strukturbauteilen mit optisch georteter Ultraschallmesstechnik

  • Shopfloor suitable damage analysis in CFRP parts with optically tracked ultrasonic measurement technique

Nienheysen, Philipp Thomas; Schmitt, Robert H. (Thesis advisor); Schröder, Kai-Uwe (Thesis advisor)

1. Auflage. - Aachen : Apprimus Verlag (2023)
Book, Dissertation / PhD Thesis

In: Ergebnisse aus der Produktionstechnik 44/2022
Page(s)/Article-Nr.: 1 Online-Ressource : Illustrationen, Diagramme

Dissertation, RWTH Aachen University, 2022


The global sales of carbon fiber reinforced plastics (CFRP) still grow in a double-digit percentage range. Alongside the aerospace industry, the automotive industry is the biggest driver of this growth. CFRP belong to the group of composite materials, but in fact represent structures made of high-strength fibers embedded in a polymer matrix. Currently CFRPs are no longer used on a large scale in automotive construction, but they are increasingly being used where they offer particular advantages in terms of weight saving, stiffness and strength. Ensuring strength is one of the key challenges. Damage patterns in CFRP are hardly to detect visually and are unknown within conventional materials. Currently there is a lack of measurement concepts for the detection, localization and quantification of damages that can provide the measurement data required for CFRP repair with sufficient uncertainty. This research project addresses the mentioned deficits by means of the conceptual design and experimental validation of an optically tracked ultrasound measurement system. In accordance with the research methodology of Design Science Research, the research results are generated iteratively and validated experimentally with the help of various experimental setups. The design process is coupled with the application area of an CFRP repair shop and the existing knowledge base of measurement technology. The conceptual design of the optically tracked measurement system, consisting of a phased-array ultrasonic measurement system and an optical tracking system, is based on a novel combination and real-time synchronization of the individual measurement systems. For this purpose, a measurement software for recording, visualization and evaluation of the measurement data is developed. The evaluation methodology is based on a sound intensity distribution modeling, novel methods of peakdetection and 3D reconstruction of the ultrasonic measurement data. The concept is validated with the help of calibrated test components. The uncertainty analysis is carried out in three steps with specifically designed test setups, followed by an analysis of the factors influencing the measurement process and the measured variables. The uncertainty analysis of the optical tracking system is performed by reference distance measurements of a coordinate measuring machine and by varying the limits of the parameter space. Subsequently, the influences of the phased array ultrasonic measurement system are analyzed by means of an experimental setup consisting of a linear axis traversing unit and series of measurements in immersion technique and optimized iteratively based on the calculated measurement uncertainty contributions. Ultrasonic measurement and optical tracking are tested in combination to examine the overall system and to optimize the software setting parameters. In the last step, it is shown that the measurement uncertainty can be sufficiently reduced for practical use by using optically measured surface data. The knowledge gained is based on novel algorithms for the model-based evaluation of the 3D reconstructed ultrasonic measurement data as well as the for the first time realized quantification of the hardware-, software- and process-related influencing factors on the uncertainty of the optically tracked ultrasonic measurement system. In addition, a method was developed to reduce the measurement uncertainty by combining ultrasound and surface measurement data for practical use.


  • Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University [417200]
  • Chair of Production Metrology and Quality Management [417510]