Advantages of Electrostatic Spring Hardening in Biomimetic Hair Flow Sensors

We report on a fully adaptable flow sensor with adjustable detection limit, responsivity, range, and bandwidth by addition of electrostatic spring hardening (ESH) to our previously developed microelectromechanical systems hair flow sensors. The sensor's mechanical transfer shows large voltage-controlled electromechanically affected responsivity for frequencies below the sensor's resonance. Using capacitive readout, a bias voltage-controlled sensory threshold is obtained, giving a threefold tunable ac-airflow detection threshold (down to 0.3 mms-1). The mechanism of spring control also extends to dc-flows, as shown for the first time; electrostatic spring hardening allows to increase the dc-flow measurement range by almost a factor 2, up to about 5 ms-1. Furthermore, the application of ESH is demonstrated both theoretically and experimentally for nonresonant parametric amplification (NRPA) by achieving suppression of residual frequency components at the cost of overall gain. In addition, we show that ESH allows to extend selective gain and tunable filtering by NRPA to a larger range of flow frequencies.

[1]  G. G. Stokes On the Effect of the Internal Friction of Fluids on the Motion of Pendulums , 2009 .

[2]  H. Droogendijk,et al.  Unraveling the viscosity-mediated coupling effect in biomimetic hair sensor arrays , 2011, 2011 IEEE 24th International Conference on Micro Electro Mechanical Systems.

[3]  G. Krijnen,et al.  Towards a high-resolution flow camera using artificial hair sensor arrays for flow pattern observations , 2012, Bioinspiration & biomimetics.

[4]  D. Rugar,et al.  Mechanical parametric amplification and thermomechanical noise squeezing. , 1991, Physical review letters.

[5]  Junliang Tao,et al.  Hair flow sensors: from bio-inspiration to bio-mimicking—a review , 2012 .

[6]  Gijsbertus J.M. Krijnen,et al.  Institute of Physics Publishing Journal of Micromechanics and Microengineering Artificial Sensory Hairs Based on the Flow Sensitive Receptor Hairs of Crickets , 2022 .

[7]  Gijsbertus J.M. Krijnen,et al.  Parametric excitation of a micro Coriolis mass flow sensor , 2012 .

[8]  Kimberly L. Turner,et al.  Institute of Physics Publishing Journal of Micromechanics and Microengineering Mechanical Domain Coupled Mode Parametric Resonance and Amplification in a Torsional Mode Micro Electro Mechanical Oscillator , 2022 .

[9]  Jeffrey A. Neasham,et al.  Experimental investigation of parametric and externally forced motion in resonant MEMS sensors , 2008 .

[10]  Edmond Cretu,et al.  Parametric amplification/damping in MEMS gyroscopes , 2011, 2011 IEEE 24th International Conference on Micro Electro Mechanical Systems.

[11]  Gijsbertus J.M. Krijnen,et al.  Uncovering signals from measurement noise by electro mechanical amplitude modulation , 2013 .

[12]  M. J. Thompson,et al.  Parametrically Amplified $Z$-Axis Lorentz Force Magnetometer , 2011, Journal of Microelectromechanical Systems.

[13]  Marcel Dijkstra,et al.  MEMS based hair flow-sensors as model systems for acoustic perception studies , 2006, Nanotechnology.

[14]  Noel C. MacDonald,et al.  A micromachined, single-crystal silicon, tunable resonator , 1995 .

[15]  Isao Shimoyama,et al.  An air flow sensor modeled on wind receptor hairs of insects , 2000, Proceedings IEEE Thirteenth Annual International Conference on Micro Electro Mechanical Systems (Cat. No.00CH36308).

[16]  Friedrich G. Barth,et al.  Medium Flow-Sensing Hairs: Biomechanics and Models , 2007 .

[17]  G. Krijnen,et al.  Engineering of biomimetic hair-flow sensor arrays dedicated to high-resolution flow field measurements , 2010, 2010 IEEE Sensors.

[18]  Lidija Sekaric,et al.  Parametric amplification in a torsional microresonator , 2000 .

[19]  Tateo Shimozawa,et al.  Cricket Wind Receptors: Thermal Noise for the Highest Sensitivity Known , 2003 .

[20]  A J Hudspeth,et al.  Mechanical relaxation of the hair bundle mediates adaptation in mechanoelectrical transduction by the bullfrog's saccular hair cell. , 1987, Proceedings of the National Academy of Sciences of the United States of America.

[21]  Gijsbertus J.M. Krijnen,et al.  Non-resonant parametric amplification in biomimetic hair flow sensors: Selective gain and tunable filtering , 2011 .

[22]  M.J. de Boer,et al.  Advancements in Technology and Design of Biomimetic Flow-Sensor Arrays , 2009, 2009 IEEE 22nd International Conference on Micro Electro Mechanical Systems.

[23]  R. Raangs,et al.  The Very Near Field Theory, Simulations and Measurements of Sound Pressure and Particle Velocity in the Very Near Field , 2004 .

[24]  Gijsbertus J.M. Krijnen,et al.  Improving the performance of biomimetic hair-flow sensors by electrostatic spring softening , 2012 .

[25]  C. Chiang,et al.  A MEMS-based Air Flow Sensor with a Free-standing Micro-cantilever Structure , 2007, Sensors.

[26]  Masayoshi Esashi,et al.  Parametrically amplified thermal resonant sensor with pseudo-cooling effect , 2005 .

[27]  Friedrich G. Barth,et al.  Dynamics of Arthropod Filiform Hairs. I. Mathematical Modelling of the Hair and Air Motions , 1993 .

[28]  J. Engel,et al.  Design and Characterization of Artificial Haircell Sensor for Flow Sensing With Ultrahigh Velocity and Angular Sensitivity , 2007, Journal of Microelectromechanical Systems.

[29]  Khalil Najafi,et al.  Micro-hydraulic structure for high performance bio-mimetic air flow sensor arrays , 2011, 2011 International Electron Devices Meeting.

[30]  Fook Siong Chau,et al.  A study of electrostatic spring softening for dual-axis micromirror , 2006 .

[31]  T. Shimozawa,et al.  Structural scaling and functional design of the cercal wind-receptor hairs of cricket , 1998, Journal of Comparative Physiology A.

[32]  G. Krijnen,et al.  Parametric amplification in a micro Coriolis mass flow sensor: Reduction of power dissipation without loss of sensitivity , 2013, 2013 IEEE SENSORS.

[33]  Noel C. MacDonald,et al.  Independent tuning of linear and nonlinear stiffness coefficients [actuators] , 1998 .

[35]  Jérôme Casas,et al.  Variation in morphology and performance of predator-sensing system in wild cricket populations , 2005, Journal of Experimental Biology.