| Literature DB >> 32098077 |
Dandan Liu1, Huafeng Liu1, Jinquan Liu1, Fangjing Hu1, Ji Fan1,2, Wenjie Wu1, Liangcheng Tu1,2.
Abstract
Capacitive MEMS accelerometers with area-variable periodic-electrode displacementtransducers found wide applications in disaster monitoring, resource exploration and inertialnavigation. The bonding-induced warpage, due to the difference in the coefficients of thermalexpansion of the bonded slices, has a negative influence on the precise control of the interelectrodespacing that is essential to the sensitivity of accelerometers. In this work, we propose the theory,simulation and experiment of a method that can alleviate both the stress and the warpage byapplying different bonding temperature on the bonded slices. A quasi-zero warpage is achievedexperimentally, proving the feasibility of the method. As a benefit of the flat surface, the spacing ofthe capacitive displacement transducer can be precisely controlled, improving the self-noise of theaccelerometer to 6 ng/√Hz @0.07 Hz, which is about two times lower than that of the accelerometerusing a uniform-temperature bonding process.Entities:
Keywords: MEMS accelerometer; bonding warpage; capacitive transducer; temperature gradient
Year: 2020 PMID: 32098077 PMCID: PMC7071001 DOI: 10.3390/s20041186
Source DB: PubMed Journal: Sensors (Basel) ISSN: 1424-8220 Impact factor: 3.576
Figure 1Schematic of the MEMS accelerometer using an area-variable periodic-electrode displacement transducer (APDT); (a) three-dimensional model; (b) cross-section view.
Figure 2Schematic of bonding-induced warpage; (a) traditional bonding process with uniform high temperature; (b) the proposed bonding process with different high temperatures applied on the top cap and the spring-mass system.
Figure 3Process of the tested samples; (a) fabrication of the silicon slice; (b) fabrication of the glass slice; (c) bonding process with different temperature applied to the silicon slice and the glass slice.
Temperature applied to the silicon slice and glass slice.
| No. | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|
| Si | 504 K | 504 K | 504 K | 504 K | 504 K |
| Glass | 475 K | 486 K | 493 K | 506 K | 511 K |
| Δ | −29 K | −18 K | −11 K | +2 K | +7 K |
Figure 4Photography of a fabricated sample; (a) silicon slice; (b) zoomed-in SEM picture of the Tin layer on the silicon slice; (c) glass slice; (d) bonded sample.
Figure 5Topography of the glass slice in the tested samples with various temperature differences applied to the glass slice and the silicon slice.
Figure 6Experimental warpage of the tested samples with theoretical and simulated results as a reference.
Figure 7Shear strength of the samples bonded with different temperature gradients.
Figure 8MEMS accelerometer using the proposed bonding process.
Figure 9(a) Calibrating the self-noise of the MEMS accelerometer with a commercial seismometer for reference. (b) The power spectral density (PSD) of the output of the MEMS accelerometers and the commercial seismometer. The earth micro-tremor is dominant in the noise floor for the bandwidth above 0.1 Hz. For the bandwidth below 0.05 Hz, the self-noise of the sensors is dominant.
The self-noise comparison between the proposed MEMS accelerometer and typical high-precision MEMS accelerometers.
| Accelerometers | University of Glasgow [ | Imperial College [ | Hewlett Packard [ | This Work |
|---|---|---|---|---|
| Applications | Gravimeter | Seismic Sensor | Seismic Sensor | Acceleration Sensor |
| Self-noise (ng/√Hz) | 10 | 2 | 10 | 6 |
Key Parameters Used in this Paper.
|
| CTE | Thermal Conductivity | Thickness (μm) | Width (mm) | Length (mm) | ||
|---|---|---|---|---|---|---|---|
| Spring-mass | Equation (A5) | 0.28 | Equation (A6) | 13.1 | 500 | 20 | 20 |
| Top cap | 72.4 | 0.25 | 3.25 | 1.2 | 500 | 20 | 20 |
| Eq-solder | 6.53 | 0.04 | 2.62 | 11.9 | 22.0 | 20 | 20 |