Monolithic Micromachined Quartz Resonator based Infrared Focal Plane Arrays

Abstract

This report summarizes the design, fabrication, and characterization of thermal infrared (IR) imaging arrays operating at room temperature which are based on Y -cut-quartz bulk acoustic wave resonators. A novel method of tracking the resonance frequency based upon the measurement of impedance is presented. High-frequency (240-MHz) micromachined resonators from Y -cut-quartz crystal cuts were fabricated using heterogeneous integration techniques on a silicon wafer. A temperature sensitivity of 22.16 kHz/deg. C was experimentally measured.IR measurements on the resonator pixel resulted in a noise equivalent power of 3.90 nW/Hz^1/2, a detectivity D of 1 * 10^5 sq cm Hz^1/2/W, and a noise equivalent temperature difference of 4 mK in the 8 -14 m wavelength range. The thermal frequency response of the resonator was determined to be faster than 33 Hz, demonstrating its applicability in video-rate uncooled IR imaging. This work represents the first comprehensive thermal characterization of micromachined Y -cut-quartz resonators and their IR sensing response. In addition the report also summarizes the work done on viscoelastic measurements performed using micromachined quartz resonators and quartz etching work undertaken as part of this work.

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Document Details

Document Type
Technical Report
Publication Date
May 05, 2012
Accession Number
ADA571449

Entities

People

  • Marcelo Pisani
  • Mathew Chang
  • Ping Kao
  • Srinivas Tadigadapa

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Advanced Electronics
  • Sensors

DTIC Thesaurus Topics

  • Albumins
  • Chemistry
  • Detection
  • Detectors
  • Equations
  • Fabrication
  • Femtosecond Lasers
  • Focal Plane Arrays
  • Focal Planes
  • Frequency Shift
  • Infrared Detection
  • Infrared Detectors
  • Materials
  • Microelectromechanical Systems
  • Students
  • Surface Plasmon Resonance
  • Transducers

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.
  • Microwave Engineering.
  • Semiconductor Device Technology