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A New millimeter-wave micro-fluidic Temperature sensor for wireless passive radar interrogation

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HAL Id: hal-00878143

https://hal.archives-ouvertes.fr/hal-00878143

Submitted on 29 Oct 2013

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A New millimeter-wave micro-fluidic Temperature sensor for wireless passive radar interrogation

Sofiene Bouaziz, Franck Chebila, Anya Traille, Patrick Pons, Hervé Aubert, Manos Tentzeris

To cite this version:

Sofiene Bouaziz, Franck Chebila, Anya Traille, Patrick Pons, Hervé Aubert, et al.. A New millimeter- wave micro-fluidic Temperature sensor for wireless passive radar interrogation. IEEE sensors, Oct 2012, Taipei, Taiwan. pp.319-322. �hal-00878143�

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1,16mm

525µm

880µm 100µm

Fig. 1: Micro-fluidic Temperature micro-sensor.

A New millimeter-wave micro-fluidic Temperature sensor for wireless passive radar interrogation

S. Bouaziz, F. Chebila, A. Traille, P. Pons, H. Aubert

1CNRS, LAAS, 7 avenue du colonel Roche Univ de Toulouse, UPS, INP, LAAS

F-31400, Toulouse, France sbouaziz@laas fr

M.M. Tentsiris

School of ECE, Georgia Tech, Atlanta, GA 30332-250, U.S.A.

Abstract— This paper presents a micro-fluidic temperature sensor that uses a variable radar echo to measure temperature at Ka-frequency band. The device is made up of a planar gap capacitor with a micro-fluidic channel situated between the plates. As the temperature changes, the water level in the channel moves across the capacitor plates. This rising level of high permittivity liquid within the capacitor modifies the capacitance and as a result modifies the scattering parameter S11. The sensor can then be integrated with an antenna and interrogated at distance by a reader. The detected radar echo level changes in proportion to temperature when illuminated by the wave reader. Simulations were performed in order to optimize the design for the capacitor and channel, and to verify the change of S11.The micro-fluidic device was fabricated using an Su-8 micro-machining process. Measurements were performed using a VNA and a probe measurement station in order to verify the change in S11 with respect to the level of water in the micro-fluidic channel. The S11 measurements yield an 8dB range which is in agreement with the theoretical calculations that are explained in the paper. For the radar echo measurements, a 4dBm range is obtained. This corresponds to a 10° K measurable temperature range. This design allows wireless temperature sensing at a distance, thus making it an effective solution for distant temperature monitoring applications.

I. INTRODUCTION

For various applications, such as product storage (nuclear waste, food, ect…) [1, 2], requiring small sized sensing devices, continuous and stable measurement and energetic autonomy, wireless passive sensors appear as a key technological solution [3]. Acoustic wave sensors have been one solution to overcome this need. However, the SAW sensor presents a limited reading distance.

In the past few years, a new generation of wireless passive sensors has emerged based on electromagnetic transduction and radar interrogation [4, 5]. These type of sensors present many potential advantages. Adding to its battery less, low cost and long sensing range characteristics, the wireless passive monitoring technique presents direct modulation which allows a significant signal loss reduction.

In this paper, we developed miniaturized, battery-less temperature sensor that can be interrogated at a distance by a radar. The temperature sensitive component will be based on micro-fluidic technology where liquid displacement within a micro-channel will be correlated to a temperature variation.

This mechanical variation leads valuable changes of capacitor permittivity and thus variation of the component electromagnetic parameters. In that way the sensor uses a variable radar echo to wirelessly measure temperature at the Ka-frequency band. This integration of micro-fluidic and electromagnetic technology allows for component miniaturization and high sensitivity.

The design steps of the temperature micro-sensor will be presented in this paper followed by fabrication flow process and finally simulation and measurement results.

II. DEVICE DESCRIPTION

The sensor structure in Fig. 1 is designed and optimized using Ansoft-HFSS. It consists of a micro-fluidic variable capacitor for wireless temperature monitoring in the millimeter-wave frequency band. The model consists of a coplanar gap capacitor with a water-filled micro-channel in between and above the plates. The liquid progressively fills the channel with the temperature-dependent volume expansion

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-I- Me talization (lift-off)

Photo litho grap hie - II - Tank & chann el development

-III- C overing & µ flu dics acce s C han nel perfora tio n

µflu idic in put

RF n put signal Gla ss h= 525µm

SU 8 C uivre

Fig. 2: Fabrication Process flow.

(a)

(b)

-1- -2- -3-

Fig. 3: (a) realized structure of the sensor (b) micro- channel between the plates filled at b-1-at 0% b-2- at 50%

and b-3- at 100% with water.

of water as seen in Fig 3. This rising level of high permittivity liquid within the capacitor modifies the scattering parameter S11. This sensor uses a variable radar echo to measure temperature at the frequency of 29,8 Ghz. This is done by connecting one access port of the sensor to a horn antenna with a 1 meter length 50 Ω coaxial line while the other access port is loaded by 50Ω charge. the complete sensor system is interrogated by an FMCW radar.

The sensor structure is fabricated on 525µm thick glass substrate using a 100nm thick gold layer and Su8 negative resin. The coplanar line was designed to be 50Ω with a 110µm wide center conductor and a 20µm wide spacing between the center and the ground planes. The dimensions of the planar capacitor plate (90µm width, 400µm length and 90µm distance between plates) are optimized to increase the electric field between the capacitor plates. An Su-8 micro-channel filled with water (170µm x100µm) is then placed over the coplanar capacitor along the plates. With theses dimensions, a good sensitivity against water level position is obtained as well as a large temperature sensing range without compromising the capacitor performance. A large circular reservoir connected to the micro-channel is needed to provide the maximum liquid displacement, just as is done in thermometers. We use 10°C of temperature range (between 25°C and 35°C) where the temperature dependant volume expansion of water is quite linear and evaporation is avoided.

The necessary tank volume is calculated using the temperature-dependent volumetric expansion equation for a known spatial expansion coefficient of water and known dimensions of the micro-channel cross section:

V T

V = Δ

Δ α

(1) Where V is the total volume, α is the volumetric thermal expansion coefficient, ΔV is the fractional change in volume of liquid and ΔT is the change in temperature.

III. FABRICATION

The sensor structures were fabricated in the clean-room of Laboratoire d’Analyse et d’Architecture des systems. Fig. 2 outlines the employed fabrication process. We review the main steps of the fabrication process.

The details and advantages of these fabrication techniques are elaborated on in detail by the authors in [4]. First, using a 525μm thick glass wafer, a Ti/Cu (0.1µm/0.1µm) seed layer was sputtered on the both side. A lift-off method is used to pattern the planar capacitor structure with ground plane on the back side.

To improve the adhesion of the Su-8 resin on glass, an adhesion promoter was spin coated on the wafer. On 100µm Su-8 negative resin, channels and tanks were then micro- machined using photolithography.

Afterwards, using the Su-8/Su-8 lamination technique [6], a 50µm thick photosensitive Su-8 dry film wasplaced on the

top of the structure to close the structure and realize the fluidic access.

The next step was to fill the channel with water. First, the channel was sealed from one side with a square piece of glass and double-sided adhesive. Next, the structure was placed in a container filled with water and placed under vacuum so the

320

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Fig. 4: On wafer RF/Temperature Measurement bench.

-12 -10 -8 -6 -4 -2 0

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

|S11| dB

Filling rate of the channel in %

mesured |S11|dB simulated |S11|dB

Fig. 6: Measured and Simulated reflection coefficient.

fluid was forced into the Su8 micro-structure using pressure.

Fig. 3 illustrates the realized micro-fluidic temperature sensor on (a) and three positions of water level inside the channel since the measurement on (b).

IV. MEASURED RESULTS

Measurement of the scattering parameters were performed with a 70 Ghz Anritsu Vector Network Analyzer connected to the probes in the borders of the sensor at a frequency of less than 40Ghz. In Fig. 4 the special RF/Temperature measurement bench is shown. It is composed of a classical RF measurement bench with a heating chuck.

The radar echo level measurement of the device was accomplished using a 1 meter long coaxial probe connecting the standard 10 dBi gain horn antenna to the sensor. To calibrate out resonances from the cable a one-port calibration was performed using short, open and load standards. The horn was then attached to this cable. Afterwards, on-wafer radar measurements were performed at 29,8 GHz where the sensor was terminated by 50Ω [7]. The system is illuminated by an FMCW radar as shown in Fig. 5. The variation of the radar echo level is correlated to the temperature change.

In an FMCW radar, the waveform generated is continuous with time and is typically transmitted with 100% duty cycle to illuminate the area of observation. In that way, this interrogation technique allows a real time remote sensing at a high measurement range for applications where the temperature changes quickly.

Measurement results were obtained with respect to the liquid position in percentage of filling rate. For each point of measurement the liquid was stable in a precise position with

±3 µm of accuracy.

Fig. 5: Principle of the FMCW Radar EM sensor interrogation technique.

Using the VNA, the S parameter variations correspond to an 0.8dB/deg of sensitivity when associating the filling rate with the temperature expansion of water at a frequency of 29,8 Ghz.

Results obtained from the measurements are displayed in Fig. 6 and are in good agreement with simulation results. A slight constant offset is observed as a difference between simulation and measurement results. It is assumed as consequence of micro-fabrication effects and the environment disturbances which add parasitic capacitance. The measured is about 8 dB of variation for 10°C of temperature range.

In the other case, 4 dBm radar echo level range is observed in the millimeter wave radar measurements. This difference in the radar echo level observed is sufficient to make a correlation with temperature change. The change in the applied physical value is converted into a linear decrease in radar echo level as shown in Fig. 7. The measured sensitivity is about 0,4 dBm/deg.

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Fig. 7: Measured radar echo level of T° sensor versus filling rate of the micro-channel.

V. CONCLUSION

A new micro-fluidic planar capacitor for temperature monitoring has been presented. The measurement principal, based on radar passive detection, has been demonstrated and the sensor performance of the fabricated fluidic micro- structure has been measured. When tested using VNA and probes, a 0.8 dB/deg of sensitivity was obtained. Finally, the temperature sensor was integrated with a horn antenna via a 1 meter length coaxial delay line and was interrogated using the radar interrogation technique. Measured results obtained show a linear sensitivity of 0.4dBm/deg. This sensor demonstrates a reliable and cost effective solution to the challenges of real- time wireless temperature monitoring.

ACKNOWLEDGMENT

The authors would like to acknowledge the support of the Laboratoire d’Analyse et d’Architecture des Systèmes (LAAS- CNRS).

REFERENCES

[1] Emilio Sardini and Mauro Serpelloni, “Passive and Self- Powered Autonomous Sensors for Remote Measurements”, Sensors 2009, 9, 943-960.

[2] Hande Alemdar, Cem Ersoy,” Wireless sensor networks for healthcare: A survey”, Computer Networks, Volume 54 (2010), pp 2688–2710.

[3] Luis Ruiz-Garcia, Loredana Lunadei, Pilar Barreiro and Jose Ignacio Robla, “A Review of Wireless Sensor Technologies and Applications in agriculture and Food Industry: State of the Art and Current Trends”, sensors 2009, 9, 4728-4750.

[4] A. Traille, S. Bouaziz, S. Pinon, P. Pons, H. Aubert, A.

Boukabache, et M. Tentzeris, « A wireless passive RCS- based temperature sensor using liquid metal and microfluidics technologies », in Microwave Conference (EuMC), 2011 41st European, 2011, p. 45 -48.

[5] M. M. Jatlaoui, F. Chebila, T. Idda, P. Pons, et H.

Aubert, « Phenomenological theory and experimental characterizations of passive wireless EM pressure micro- sensor prototype », in 2010 IEEE Sensors, 2010, p. 643 - 646.

[6] Abgrall P, Lattes C, Conedera V, Dollat X, Colin S and Gue A M, “A novel fabrication method of flexible and monolithic 3D microfluidic structures using lamination of SU-8 films”.

[7] M. M. Jatlaoui, F. Chebila, S. Bouaziz, P. Pons, et H.

Aubert, « Original identification technique of passive EM sensors using loaded transmission delay lines », in Microwave Conference (EuMC), 2010 European, 2010, p. 1106 -1109.

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achievable. This amplification, which is characteristic of the micro-hydraulic system, plays an essential role in improving sensor performance. A pair of electrodes on the backside can be used for electrostatic actuation or capacitive sensing.

Figure 3. Micro-hydraulic structure with hairs attached on bossed membrane. The base structure consists of top and bottom chambers and a pair of electrodes on the bottom membrane for either electrostatic actuation or capacitive sensing. After integration of the boss, a silicone elastomer epoxy is used to attach the tall hair over the boss [9].

In order to make a hair flow sensor, a hair-like post is needed to convert drag force caused by flow into pressure that is applied on the membrane. We have used prefabricated pins attached to the front-side Parylene membrane with silicone elastomer epoxy. Figure 4 shows an array of four hairs used for sensing flow speed and direction. The microhydraulic chamber connecting the front to the back of the substrate is transparent and visible under each pin. These sensors offer a large air flow speed measurement range, high sensitivity and high bandwidth of about 30 Hz. The sensor responds linearly to increasing flow speed from 0 to 15 m/s, the sensitivity is estimated to be slightly over 2 cm/s. Further improvements can be made with integrated electronics, batch fabrication hair arrays, and device optimization.

Figure 4. Hairs attached on top of a 4-cell micro-hydraulic system, shown on a US penny [8].

V. CONCLUSIONS

MEMS sensors can be improved by utilizing techniques used in nature. One structure used extensively is the hair.

Hair-based sensors and actuators have 3-dimensional features that make them suitable for many emerging applications. The tall and small-footprint hair still provides a large mass and large surface to volume ratio, and has ability to incorporate different materials to fit a particular application. Today’s micro and nano-fabrication technologies make possible a myriad of geometries, materials and integration options.

Large arrays of hair structures can be utilized to improve sensitivity, enhance selectivity, offer redundancy and robustness, increase dynamic range, and enhance functionality. The combination of the hair structure, efficient transduction techniques, and integrated electronics provides many desirable features. Large arrays of sensors can be fabricated in either extremely small areas, thus lowering cost, or on large distributed surfaces, thus increasing coverage.

The hair structure can be used as a sensor, an actuator, and or passively used for achieving functions such as thermal management or filtering. Future MEMS will certainly incorporate many features that hair structures have to offer.

ACKNOWLEDGMENT

The support of Mr. Mahdi Sadeghi and Dr. Becky Peterson on thermal/microhydraulic hair sensors is appreciated.

Devices were fabricated at Michigan Lurie Nanofabrication Facility, one of the sites of the National Science Foundation National Nanotechnology Infrastructure Network (NNIN).

REFERENCES

[1] K. Toko, “Biomimetic Sensor Technology,” Cambridge University Press, 1996

[2] Engel, J.M., J. Chen, C. Liu, D. Bullen, “Polyurethane Rubber All- Polymer Artificial Hair Cell Sensor,” IEEE/ASME Journal of MEMS, Vol. 15, No. 4, pp. 729–736, Aug. 2006

[3] M Dijkstra, J J van Baar, R J Wiegerink, T S J Lammerink, J H de Boer and G J M Krijnen, “Artificial sensory hairs based on the flow sensitive receptor hairs of crickets,” J. Micromech. Microeng. 15 S132, 2005 [4] S-H Lee, J. Chae, N. Yazdi, and K. Najafi, “Micro-Brush Press-On

Contact: A New Technique For Room Temperature Electrical And Mechanical Attachment,” Proceedings, 19th IEEE International Conference on Micro Electro Mechanical Systems (MEMS), pp. 342- 345, Istanbul, Turkey, January 2006

[5] J. M.J. den Toonder, D.J. Broer, M. Gillies, J. de Goede, T. Mol, W.

Talen, and H. Wilderbreek, “Nature Inspired Microfluidic Manipulation Using Artificial Cilia,: Proceedings, 10th Int. Conf. on Miniaturized Systems for Chemistry & Life Sciences (µTAS), pp. 561-563, 2006 [6] B. A. Evans, A. R. Shields, R. Lloyd Carroll, S. Washburn, M. R.

Falvo, R. Superfine, “Magnetically Actuated Nanorod Arrays as Biomimetic Cilia, “Nano Lett., 7 (5), pp 1428–1434, 2007

[7] M. M. Sadeghi, R. L. Peterson, K. Peterson, R. Fearing and K. Najafi,

"Air-flow Sensing on Autonomous Mobile Platforms Using Micro- Scale Hot-Wire Anemometry," in 27th Army Science Conference, Orlando, 2010

[8] Sadeghi, M. M., Peterson, R. L. and Najafi, K., "Micro-hydraulic structure for high performance bio-mimetic air flow sensor arrays,"

IEDM Tech. Digest, 673-676 (2011).

[9] H. Kim, S. Lee, and K. Najafi, “High-force liquid-gap electrostatic hydraulic micro actuators,” in Proc. 11th Int. Conf. on Miniaturized Systems for Chemistry and Life Sciences (µTAS ’07), Paris, France, Oct. 7-11, 2007

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