Paper
23 December 2003 MEMS characterization using new hybrid laser Doppler vibrometer/strobe video system
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Abstract
Laser Doppler Vibrometry (LDV) is a widely accepted tool for dynamic characterization of MEMS. Using automated scan capability, the Polytec system can measure structural resonance and display out-of-plane deflection shapes with amplitudes down to the picometer level and frequencies to 30 MHz. By adding stroboscopic video microscopy for in-plane motion analysis, our combined Micro Motion Analysis (MMA) system is capable of three-dimensional dynamic characterization. The MMA system opens up new possibilities to measure in-plane actuators previously difficult or impossible for LDV measurements. To exemplify the use of this technology, we present characterization measurements on MEMS devices fabricated by Sandia National Labs SUMMiT V process. Multi-axis measurements reveal the complex motions exhibited by an electrostatic comb drive driven at resonance. Also, ultra-high resolution velocity measurements are made on passive cantilever structures oscillating under thermal excitation. Picometer resolution makes possible detection of these purely mechanical resonances. Both comb drive and cantilever data are used to determine mechanical properties important to evaluate the reliability of fabrication processes. This study demonstrates the unique performance of our hybrid LDV / strobe video measurement system for quick, accurate, high-resolution dynamic response measurements.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eric M. Lawrence and Christian Rembe "MEMS characterization using new hybrid laser Doppler vibrometer/strobe video system", Proc. SPIE 5343, Reliability, Testing, and Characterization of MEMS/MOEMS III, (23 December 2003); https://doi.org/10.1117/12.524565
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Cited by 12 scholarly publications.
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KEYWORDS
Laser Doppler velocimetry

Microelectromechanical systems

Motion measurement

Cameras

Doppler effect

Video

Motion analysis

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