Paper
12 April 2010 Infra-through-ultrasonic cleaning of microanemometer and acoustic vector sensing elements
Scott E. Cravens, Ronald M. Barrett
Author Affiliations +
Abstract
Sensor elements employing fine filaments are often vulnerable to particulate fouling when used in certain operational field conditions. Depending on the size, attraction level, thermal and electrical conduction and charge accumulation properties of the particles, erroneous readings can be easily generated in such "dirty" environments. This paper describes the design, development and testing of an ultrasonic system which dynamically rejects highly tenacious electrostatically charged particles of a wide variety of sizes and even water. The paper starts with a brief introduction to the field of acoustic vector sensing, outlining its outstanding characteristics and history. Operational challenges including a statistical analysis of typical Middle-Eastern wind-blown desert sand and charge density are laid out. Several representative subscale hot-wire filaments were fouled with calibrated dust representing desert sand. The fouled elements were then exposed to airflows of 13 ft/s (4m/s) and showed highly erratic, shifted conduction levels with respect to baseline (clean) levels. An ultrasonic cleaning system was designed specifically resonate the filament and cantilever so as to mechanically reject foulants. When operated at resonance, the ultrasonic cleaning system showed 98.6% particulate rejection levels and associated restoration of uncorrupted filament resistance levels to within 2% of baseline resistance measurements. The study concludes with an assessment of such cleaning techniques in various environments.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Scott E. Cravens and Ronald M. Barrett "Infra-through-ultrasonic cleaning of microanemometer and acoustic vector sensing elements", Proc. SPIE 7643, Active and Passive Smart Structures and Integrated Systems 2010, 76432X (12 April 2010); https://doi.org/10.1117/12.847464
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Cited by 1 scholarly publication.
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KEYWORDS
Particles

Sensors

Acoustics

Ultrasonics

Ferroelectric materials

Actuators

Boron

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