Flow sensing by buckling monitoring of electrothermally actuated double-clamped micro beams

Flow sensing by buckling monitoring of electrothermally actuated double-clamped micro beams

Y. Kessler, S. Krylov, A. Liberzon School of Mechanical Engineering, Tel Aviv University, Tel Aviv 69978, Israel
July 12, 2019
Abstract

We report on a flow sensing approach based on deflection monitoring of micro beams buckled by the compressive thermal stress due to electrothermal Joule’s heating. The air stream convectively cooling the device affects both the critical buckling values of the electric current and the postbuckling deflections of the structure. After calibration, the flow velocity was obtained from the deflections measurements. The quasi-static responses of 2000 m long, 10 m wide and 30 m high single crystal silicon beam transduced using image processing were consistent with the prediction of the reduced order model, which couples thermoelectric, thermofluidic and structural domains. The deflection sensitivity of 1.5 m/(m/s) and the critical current sensitivity of 0.4 mA/(m/s) were registered in the experiments. Our model and experimental results collectively demonstrate feasibility of the sensing approach and further suggest that simple, robust and potentially downscalable beam-type devices may have use in flow velocity and wall shear stress sensors.

MEMS; Flow velocity sensor; WSS gauge; Electhorthermal actuation; Postbuckling; Micro beam
pacs:
85.85.+j, 47.61.Fg, 47.55.P-, 46.32.+x

I Introduction

Minimally invasive flow velocity and wall shear stress (WSS) measurements are necessary in various areas of science and engineering Tavoularis (2005) starting from flow control in pipelines, aerodynamics of lifting bodies and wind turbines, lab-on-a-chip and micromechanical-valves development Tavakol and Holmes (2016); Ducloux et al. (2007), biomedical and personal health care applications and up to fine scientific instruments for fundamental fluid dynamics research Borisenkov et al. (2015). Microelectromechanical systems (MEMS) based flow sensors are advantageous due to their small size, low cost and power consumption, high sensitivityHo and Tai (1998) and resolution Löfdahl and Gad-el Hak (1999); Wang et al. (2009), and integrability with electronic circuitry. The most common free shear flow sensors are based on the temperature dependent electrical resistance of overheated thin films or wires Stainback and Nagabushana (1993); Borisenkov et al. (2015), suspended or attached to a substrate. Despite a significant research effort devoted to miniaturization of flow measurement devices Gad-El-Hak (1989); Wang et al. (2009), many challenges still have to be addressed. Flow micro sensors in wall-bounded flows, following either mechanical (e.g. floating element Schmidt et al. (1988)) or thermal (e.g. heat transfer Jiang et al. (1994); Kálvesten (1996); Jiang et al. (1996)) measurement principlesGad-El-Hak (1989); Wang et al. (2009), are typically distinguished by intricate design and complex fabrication process.

Figure 1: (a) Schematics of the device: a double clamped beam is attached to the substrate by two anchors and is aligned parallel to the flow direction. (b) optical microscope image (top view) of a fabricated beam, m

In this work we introduce a flow measurement approach based on the static deflection of the double-clamped micro beam buckled by a compressive stress, which is originated in the electrothermal actuation by Joule’s heating. The device shown in Fig. 1 combines a mechanically moving MEMS structure and an anemometer-style architecture of a flow sensor and incorporates a micro beam attached to the substrate by two anchors. The beams are designed to deflect parallel to the substrate in the in-plane () direction, while the axial displacement of the beam’s ends is fully contained by the fixed anchors. The nominally m long, m wide and m high single crystal silicon beams aligned in the crystallographic direction are fabricated from silicon on insulator (SOI) substrates with (100) upper surface and m thick device layer using deep reactive ion etching (DRIE) based process Medina et al. (2014). Devices are electrically isolated from the handle by an underlying 3 m thick silicon dioxide layer. A voltage between the anchors of the beam is the source of the electric current and consequently of the resistive (Joule’s) heating of the beam. Above certain value of the current the resultant compressive thermal stress exceeds the critical, buckling, value Kaajakari (2009) and the beam bends. Conductive and convective heat transfer accompanying the air flow results in the cooling of the structure and in the decrease of the axial stress and of the deflection. Possible scenarios for the measurement of the free flow velocity or WSS (if installed on the wall) include registering of the critical buckling value of the electric current/voltage or monitoring of the post buckling deflection of the beam at a constant prescribed current/voltage above the critical value. Note that while various flow directions can be applied in this work, in order to eliminate the effect of the direct actuation of a beam by a flow, we focus on the flow parallel to the beam axis, Fig. 1.

Note that micro sensors based on a double-clamped beam architecture are distinguished by simplicity, robustness, and can be readily downsized to the nano scale. They are core element in many applications such as radio-frequency switches Robert et al. (2003), resonant sensors Sibgatullin and Krylov (2013), sliding plate micro-valves Maluf and Williams (2004), gas sensors Joe et al. (2012) as well as pressure gauges, gyroscopes, and accelerometers Tanaka (2007). Here we suggest to extend the use of beam-like devices to flow sensors. In addition, results of this work may shed light onto the interaction between such devices and an ambient flow.

Ii Model

We assume that the deflections of the slender Euler-Bernoulli beam, while comparable with its thickness, are small with respect to the length of the beam and satisfy to the equilibrium equation Villaggio (2005)

(1)

Here , and are Young’s modulus (in the direction) and coefficient of the thermal expansion of Si, respectively; and are, respectively, the area and the second moment of area of the uniform cross section and is the averaged temperature excess above the ambient. While single crystal Si beams may manifest small residual stress Medina et al. (2014), we assume the beam to be initially stress-free. In accordance with Eq. (1) the axial force consists of the compressive thermal force as well as the nonlinear tensile stretching force, arising due to the axial constrain. By using the solution of Eq. (1Nayfeh and Emam (2008) the mid-point deflection of the beam in the postbuckling state can be obtained

(2)

where and is the axial strain corresponding to the critical Euler buckling force .

The temperature excess is calculated using the one-dimensional heat transfer equation

(3)

where is the convection heat transfer coefficient, is the thermal conductivity, is the beam cross-section perimeter responsible for natural convection (or in the case of forced convection), and the last term is the Joule’s heating source ( and are the current density and electrical resistivity respectively). The radiation and the heat conduction to the substrate through the air gap are neglected Glassbrenner and Slack (1964); Pelesko and Bernstein (2002). We also assume that at the clamped ends (the anchors) of the beam . All the material properties appearing in Eqs. (1) and (3) are assumed to be temperature-independent and are shown in table 1. This assumption is justified since the air flow cooling related temperature changes, which are of primary interest here, are small. According to our model, for the 2 mm beam, C for 0 m/s air speed and C for 2 m/s, where mA is 1.1 times the critical current for the highest air velocity used in the experiments. In addition, we assume that the Joule’s heating is dominant and the additional heating due to mechanical strain is negligible. Finally, we neglect the thermoresistive and piezoresitive effects.

Under these simplifying assumptions Eq. (3) is uncoupled from Eq. (1) and can be readily solved in terms of  Mills (1999); Holman (1986)

(4)

The dependence of on the flow velocity results in the coupling between and the deflection of the beam through the thermal stress.

We focus on two different scenarios - forced convection due to a flow along the beam and natural convection at zero air velocity. Mixed convection scenario was estimated to be irrelevant Mills (1999). Due to the miniature size of the device we use the correlations for the laminar flow regimes for small Rayleigh and Reynolds numbers. For natural convection we useHolman (1986) (, which is the area of convection, and depend on wall orientation, for the horizontal facing upward is and for the vertical walls , for the horizontal face pointing downward we use ) while for the forced convection Whitaker (1972) , where Nusselt number based on beam length is , and the Reynolds number (where is the air thermal conductivity and is the air kinematic viscosity Holman (1986)).

Iii Results

First we investigated the feasibility of the sensing principle using the model.

Parameter Value
Young modulus, 169 GPa
Thermal expansion,
Thermal conductivity, W/(mK)
Resistance, 1.01 K
Prandtl number (air), 0.7
Thermal conductivity (air), 0.0257 W/(mK)
Kinematic viscosity (air), m/s
Table 1: Properties of single crystal silicon Glassbrenner and Slack (1964); Okada and Tokumaru (1984) and of standard air (at room temperature Holman (1986)) used in calculations

Critical temperature (which is the temperature in which the beam buckles) was chosen to be the ”working point” and used in order to set the material properties. Since the resistivity is temperature and strain dependentPark et al. (2009), it was estimated by directly measuring the resistance for each beam at the working point (see Table 1) and then using the expression . Because the critical temperature and the material properties are interrelated (Eq. (2) and (4)) eq. (4) was solved iteratively until convergence providing the working point values of the material properties. Thermal conductivity-temperature and thermal expansion-temperature empirical correlations obtained from literature Glassbrenner and Slack (1964); Okada and Tokumaru (1984) were used. Finally, the midpoint deflection of the beam was obtained using Eq. (2).

Results of calculations, performed for the nominal geometry of the beam, are shown in Fig. 2 (top). At a certain critical current the beam buckles and the deflection sharply changes from zero (pre-buckling) to a post-buckling value. Due to the cooling by the forced convection higher current is required to reach the critical value of the temperature and of the stress. Consequently, increases with the flow velocity. Further increase of the current above is accompanied by the increase of the deflection. As expected the deflection of the buckled beam at a constant voltage/current decreases as the flow velocity increases (see inserts in Fig. (2)).

Figure 2: Model results (top) and experimental results (bottom) for increasing air velocity from left to right. Insets show post-buckling deflection at constant current of 1.1 the critical current (4.42 mA and 2.8 mA for the experiment and model respectively) as a function of flow velocity and of critical current for buckling as function of flow velocity.

The beams of various configurations were mounted on a wafer prober (Karl Suss PSM-6 with FS-70 Mitutoyo microscope) and tested in ambient air conditions. Note that while large number of beams of differing geometries (cross-section, length, aspect ratio) were operated, here, for the sake of brevity, we present the results of only one. All beams behave similarly in terms of their response to different flow velocities in our test rig.

For the buckling experiments, the AC current is supplied by a signal generator (TGA1241, Aim-TTi, England) that generated a triangular wave with time period of 60 seconds and peak-to-peak voltage of 10 Volts. For post-buckling mode of operation, the DC voltage of 4.47 Volts was supplied (EX752M , Aim-TTi, England) and the current was registered by a multi-meter (M-3890D, METEX, Korea) connected in series with the beam. Beam deflection was recorded using a CCD camera (UI-2250SE-M-GL, iDS GmbH) equipped with a 50 lens. The video was post-processed with custom-made image processing code using common methods. Dry air was supplied through a pressure regulator/gauge and filters using a long straight needle (inner diameter 1 mm, length 150 mm). The pressure-controlled flow produced by a custom built miniature blower was calibrated using particle imaging velocimetry (PIV).

In Fig. 2 (bottom) we show the results of the buckling experiment namely the measured deflection () versus the supplied current (), for different flow velocities. Error bars emphasize the measurement uncertainty, which is mainly due to the resolution of our imaging system. We observe stronger critical buckling currents with increasing flow velocity. It is expected as the flow that cools the device requires stronger Joule’s heating for the beam to buckle. In the lower inset we see the same effect from a different perspective - when the constant voltage of 4.47 Volts is applied, the deflection of the post-buckled beam decreases with the increasing flow velocity, as expected from the model. In the upper insert we demonstrate the increase in critical current as flow velocity grows.

The experimental results show clearly the behavior predicted by the model and the expected response of the deflection to the flow velocity (Fig. (2)). The results corresponding to different beams are very similar qualitatively and differ quantitatively due to fabrication-related uncertainty in device’s parameters as well as due to a long list of parameters and effects that were neglected or simplified in the model (Sec. II).

In order to understand better the dependence of the system response on various parameters we analyze the model based on dimensional grounds. This analysis allows predicting the deflection and the critical current for double-clamped beams of different lengths and at different flow velocities. Using the result of this analysis in conjunction with the model we can also deduce the constants that effectively represent the effects neglected in the simplified model such as temperature dependence of material’s properties, convection and flow regime issues, uncertainties in geometry, residual stress, piezo-resistive effects Park et al. (2009) and others. In Fig. 3 the experimental results of different beams are compiled into a single, self-similar, curve presented in the dimensionless form. We demonstrate that a single constant which depends on Reynolds number is sufficient to represent all our results. From Fig. 3 it is clear that the model represents well the dynamics of the method (device) for the current which is up to at least two times the critical (buckling) value, . Furthermore, the model that collapses the data points out that the heat transfer correlations has to be taken with care, especially those based on the assumptions of fully developed laminar flow parallel to the device. In any case, this result does not invalidate our analysis, but strengthens the comprehensive analysis of the complex dynamics of the flow along the buckling beams.

Figure 3: Dimensionless presentation of the experimental results for the two beam lengths and different flow velocities. The model curve corresponds to the . Inset shows constant for different velocities and the two beam lengths (circles mm, squares mm).

Sensitivity (or scale factor) of a sensor can be predicted using the model and quantified specifically for a given sensor empirically. From model and experimental results, we understand that sensitivity improves mainly for slower flow velocities, smaller deflections (or lower temperatures), and lower buckling force, . There is, however, a natural trade-off between sensitivity and robustness of the sensor. For our devices we obtain sensitivity better than majority of the reported MEMS sensorsWang et al. (2009): 0.44 and 0.435 V/(m/s) (or 0.41 and 0.43 mA/(m/s)) for shorter and longer beams, respectively, estimated at critical point of buckling. In addition, for the post buckling experiments (measured at 12.25 and 4.42 mA), we get scale factors of 0.41 and 1.5 m/(m/s) for shorter and longer beams, respectively.

Iv Conclusions

In this work, the novel measurement concept for the MEMS-based double-clamped beam flow sensor is proposed, designed, analyzed and tested. We introduce a sensing method, based on coupling between different physical domains including thermal, flow, mechanical and structural. The innovative aspects of the sensor are a) rather complex but well understood non-linear, multi-physical, method that couples Joule’s heating, mechanical motion of the beam, flow, convective and conductive heat transfer, b) relatively low heat transfer to the substrate, c) low cost and straightforward fabrication, d) can be downscaled to nanometer size, e) very good sensitivity, and f) versatile modes of operation as the device can be built and installed on the wall or in the free flow setup (anemometer type), it can be used in buckling and post buckling methods. The model of the fluid-structure interaction due to convective heat transfer, Joule heating and double-clamped beam buckling is studied in the simplified form, yet numerical simulation based on this model is in a very good agreement with the experimental results of a MEMS device in a custom-designed test rig. Furthermore, similarity analysis based on dimensional grounds emphasizes better the response of the real device to the flow parallel to the beam length, explains the discrepancies between the model and the experiments and suggests the improved design for sensitivity and robustness of the measurement method.

V Acknowledgments

The devices were fabricated at the Tel Aviv University Micro and Nano central characterization and fabrication facility (MNCF). The authors would like to thank Dr. Sasha Gurevich, Naftaly Karakover and Erez Benjamin for their help with fabrication; Stella Lulinski and Eli Kronish for their help with experiments and experimental-setup, respectively.

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