Project Details
Projekt
Coordination Funds
Applicant
Professor Dr.-Ing. Wolfgang Weber
Subject Area
Microsystems
Lightweight Construction, Textile Technology
Lightweight Construction, Textile Technology
Term
since 2023
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 418311604
The continued aim of the Research Unit FOR 3022 is to gain a profound understanding of an integrated semi-autonomous Structural Health Monitoring (SHM) in Fibre Metal Laminates (FML) using guided ultrasonic waves (GUW) taking into account methods of machine learning. This requires an integral view on the physical phenomena of wave propagation even under complex environmental conditions, their interaction with hidden damage, recording of these interactions using microtechnical sensors at the location of event, and a signal processing for full damage diagnostics. The findings will be useful for the consideration and comprehensive understanding of wave propagation in all layered material systems made from components of large impedance differences. The investigation of guided ultrasonic waves in fibre metal laminates is subject to current research. Novel methods for simulating guided ultrasonic wave propagation in FML are developed within the last few years. However, structural health monitoring approaches are hardly addressed for FML. A model to predict the behaviour of FML with an integrated viscoelastic layer on impact or vibration response was developed in 2021. Apart from that, a lot of research is going on concerning SHM in fibre reinforced polymer using embedded setups which is directly linked to the research unit but does not address anisotropic, inhomogeneous media such as FML. However, this anisotropy is a major scientific issue of the FOR 3022. Another main task of the second funding period ist the integration of phased array transducers, which allow for a directed excitation of the FML by means of GUW. Additionally, production-induced impedance jumps, i.e. splices which lead to an additional in-plane inhomogeneity, are taken into account.
DFG Programme
Research Units
