Driving modes and material stability of a double membrane rheometer and density sensor

Bernhard Weiß, Martin Heinisch, Erwin Reichel, Bernhard Jakoby

Research output: Contribution to journalArticlepeer-review

Abstract

This contribution presents the analysis of an earlier proposed double membrane sensor for mea- suring mass density and rheological properties of liquids with respect to different driving modes. Concerning practical implementation the sensor mounting and the stability of the polyethylene foil, currently used as mem- brane material, are investigated. The sensor is based on two opposed membranes vibrating in parallel where a sample liquid is enclosed between the membranes. The excitation and read-out mechanisms of the mem- brane vibration are based on Lorentz forces induced in a static magnetic field. Each membrane carries three conductive paths for excitation, which can be separately connected to the excitation currents. This allows the excitation of the first and second modes of vibration and enables prestressing the second mode of oscillation. Analyzing the material-stability of the used polyethylene foil shows a strong long-term drift of the modulus of elasticity and an increase of internal damping with increasing temperature. Comparing the resonance frequency of the fundamental mode with earlier measurements achieved with the second mode of resonance indicates an increased sensitivity to density featuring a reasonably sustained quality factor for high viscosities. Thereby, the sensitivity can be adjusted by varying the distance between the membranes.
Original languageEnglish
Pages (from-to)19-26
Number of pages8
JournalJournal of Sensors and Sensor Systems
Volume2
Issue number1
DOIs
Publication statusPublished - 22 Apr 2013

Fields of science

  • 203017 Micromechanics
  • 202019 High frequency engineering
  • 202028 Microelectronics
  • 202039 Theoretical electrical engineering
  • 202037 Signal processing
  • 202027 Mechatronics
  • 202036 Sensor systems

JKU Focus areas

  • Mechatronics and Information Processing

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