Paper
22 July 1997 MEMS-based explosive particle detection and remote particle stimulation
Richard B. Fair, Vamsee K. Pamula, Michael Pollack
Author Affiliations +
Abstract
We report on a new methodology for chemical detection of explosive particles associated with anti-personnel mines. Trace particle detection can be used to complement vapor detection of explosives with an electronic noise. Our approach is to remotely stimulate a target area with a high intensity, focused air ultrasonic beam whose energy can megasonically clean the target area of particles above a designed for size. We have designed a MEMS electrostatic transducer to test the concept. Nanogram particle detection will occur by collecting particles on an array of temperature sensitive MEMS sensors and irradiating the particles with 3-5 micrometers wavelength IR light. Explosive particles will selectively absorb the IR energy at approximately 1600 cm-1, decompose, and give off heat which can be detected.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Richard B. Fair, Vamsee K. Pamula, and Michael Pollack "MEMS-based explosive particle detection and remote particle stimulation", Proc. SPIE 3079, Detection and Remediation Technologies for Mines and Minelike Targets II, (22 July 1997); https://doi.org/10.1117/12.280896
Lens.org Logo
CITATIONS
Cited by 10 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Particles

Explosives

Sensors

Land mines

Ultrasonics

Explosives detection

Microelectromechanical systems

Back to Top