Laser vibrometry in the development of turbochargers for ship engines
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Lightweight construction is the guiding principle in aerospace development. Adapted materials such as fiber composites must be used if aircraft are to reach their destinations. Experimental modal tests are vital for reliably validating finite element simulations. Automated individual tests are a time-saving solution for implementing an efficient bottom-up approach – in other words, for validating component models prior to a final GVT (ground vibration test).
Capture valuable data by performing measurements on scaled models in the wind tunnel. Doing so allows you to visually and remotely record flutter and other undesirable properties without influencing the flow. The optical vibration sensors provide you with an integrated concept for using CAE data to prepare tests. This measuring technology fits into the CAE world smoothly, since the sensor is a software-controlled laser beam. Automated solutions such as RoboVib® provide your simulation department with the data it needs to conduct validation operations – even overnight.
Validating complex models accurately and without contact
The need to validate simulation models of complex mechanical structures has grown in importance for efficiency in the design process. This is especially true for non-linear structures (such as composite panels and jointed components) where it is critical to use an accurate full-field measurement method. This tutorial covers a how-to-guide and use-cases of Scanning Laser Doppler Vibrometry (SLDV) as a non-invasive technology to efficiently characterize critical mechanical structures. Read the full paper from the IMAC International Modal Analysis Conference.
Eichenberger J., Sauer J. (2022) Validating Complex Models Accurately and Without Contact Using Scanning Laser Doppler Vibrometry (SLDV). In: Di Maio D., Baqersad J. (eds) Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-030-76335-0_11