Anschaffung eines 2D-Schwingungsmesssystems basierend auf Laser-Scanning-Vibrometrie
The Department of Music Acoustics – Wiener Klangstil (IWK) is requesting the purchase of a Polytec “VibroScan QTec Xtra” Laser-Doppler Vibrometer equipped with a high-precision geometry scanner and specialized software. Using an automatically guided laser, the system scans even large surfaces – such as violin tops, timpani heads, or brass bells – from a distance without contact, measuring vibrations across the entire surface with high temporal and spatial precision. The device is portable, ready for immediate use, and is therefore suitable for both scientific applications and various teaching and knowledge-transfer formats.
The system expands IWK’s existing measurement infrastructure. It is used by researchers, students, and doctoral candidates, as well as external partners from instrument making, museums, and orchestras. The key added value of this device lies in full-field modal analysis with a dense measurement grid, which makes natural frequencies, damping, and mode shapes directly visible and clearly surpasses serial single-point measurements in terms of speed and data quality. Thanks to the integrated geometry capture, measurement data can be seamlessly linked to physical and numerical models, creating reliable “digital twins” of musical instruments that can be used for diagnostics, comparative studies, quality control, and sound reconstruction. Vibration patterns are visualized in real time, enabling detailed assessments of material, geometry, and manufacturing steps – from handcrafted individual parts to CNC-machined components.
Strategically, this system strengthens the university’s focus on research, digitization, and interdisciplinarity. Full-field data can be standardized, enriched with metadata, and published according to FAIR-principles – a contribution to open science, digital resource management, and digital cultural heritage. In artistic-scientific teaching, the system supports practical data and methodological skills as well as data literacy and computational thinking.