Next Article in Journal
Surface Topography in Cutting-Speed-Direction Ultrasonic-Assisted Turning
Previous Article in Journal
Influence of Growth Process on Suppression of Surface Morphological Defects in 4H-SiC Homoepitaxial Layers
Previous Article in Special Issue
A MEMS Electrochemical Angular Accelerometer with Silicon-Based Four-Electrode Structure
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Editorial

Design and Fabrication of Micro/Nano Sensors and Actuators, Volume II

by
Weidong Wang
1,*,
Yong Ruan
2,
Zaifa Zhou
3 and
Min Liu
1
1
School of Mechano-Electronic Engineering, Xidian University, Xi’an 710071, China
2
Department of Precision Instruments, Tsinghua University, Beijing 100084, China
3
School of Electronic Science and Technology, Southeast University, Nanjing 210096, China
*
Author to whom correspondence should be addressed.
Micromachines 2024, 15(6), 667; https://doi.org/10.3390/mi15060667
Submission received: 13 May 2024 / Accepted: 18 May 2024 / Published: 21 May 2024
(This article belongs to the Special Issue Design and Fabrication of Micro/Nano Sensors and Actuators, Volume II)
Microelectromechanical system (MEMS) sensors are a miniaturized sensor technology that integrates sensors with microelectronic components using microelectromechanical system manufacturing technology [1,2]. MEMS sensors typically consist of micromechanical structures, sensing circuits, and signal processing circuits, which can be used to measure and detect various physical quantities, such as pressure [3,4], temperature [5,6], acceleration [7,8], angular velocity [9,10], and humidity [11,12]. These micromechanical structures are typically composed of microsprings [13], thin films [14], and cantilever beams [15], and their dimensions typically range from micrometers to millimeters. When external physical quantities act on these micromechanical structures, they will undergo deformation or vibration, thereby changing parameters such as current, voltage, or capacitance in the circuit and generating corresponding electrical signals [16,17,18]. The miniaturization and integration of MEMS sensors have made them applicable in various fields, such as the automotive industry [19], healthcare [20], and aerospace [21], and have provided important support for the development of intelligent systems [22] and the Internet of Things [23].
This Special Issue contains 10 papers, mainly introducing various MEMS sensors, including inertial devices such as accelerometers and gyroscopes (Contributions 1 and 2), differential pressure sensors (Contribution 3), optical analysis of microfluidic technology (Contribution 4), thermoelectric temperature sensors (Contribution 5), thin film thermal flow sensors (Contribution 6), thermocouple sensors (Contribution 7), resonators (Contribution 8), microwave sensors (Contribution 9), and skin friction sensors (Contribution 10).
In particular, Zhang et al. (Contribution 1) presented a MEMS electrochemical angular accelerometer with a silicon-based four-electrode structure. Numerical simulations were conducted to optimize the geometrical parameters of the silicon-based four-electrode structure. These simulations demonstrated that increases in fluid resistance and cathode area can expand the working bandwidth and improve the device sensitivity, respectively. Zhang et al. (Contribution 2) proposed a weak capacitance detection circuit for a micro-hemispherical gyroscope based on common-mode feedback fusion modulation and demodulation. The input common-mode feedback is applied to the circuit to address the input common-mode voltage drift caused by both parasitic capacitance and gain capacitance. Secondly, a low-noise, high-gain amplifier is used to reduce the equivalent input noise. Thirdly, the modulator–demodulator and filter are introduced to the proposed circuit to effectively mitigate the side effects of noise. Yasunaga et al. (Contribution 3) designed a MEMS differential pressure sensor with a dynamic pressure canceler. They proposed a sensor “cap” that cancels the wind effect and noise by utilizing the airflow around a sphere. In addition, a height estimation method was developed based on a discrete transfer function model. This sensor can be used for outdoor drones and wave height measurement. Qin et al. (Contribution 4) analyzed the optical path in non-uniform refractive index media in surface acoustic wave (SAW) microfluidic chips and proposed a MEMS SAW device based on a solid medium. The device can control the focal length by changing the voltage and adjusting the sharpness of the micrograph. Wang et al. (Contribution 5) proposed a flexible temperature sensor based on graphene fibers. Graphene fibers (GFs) are synthesized by a facile microfluidic spinning technique using a green reducing agent (vitamin C). The sensor has good scalability in length, and its sensitivity can increase with the number of p–n thermocouples. Chen et al. (Contribution 6) established a finite element analysis model of thin-film heat flow meters based on finite element simulation methods, and a double-type thin-film heat flow sensor based on a copper/concentrate thermopile was made. Moreover, the device exhibited a dual-use characteristic, which considerably broadened the scope of its applications and service life and introduced a novel approach to measuring heat flow density in the intricate environment on the surface of the aeroengine. Han et al. (Contribution 7) studied the impact of different annealing times on the cyclic characteristics of ceramic oxide thin film thermocouples. The results show that when the annealing temperature is held constant, extending the annealing time can improve the properties of the film, increase its density, slow down oxidation, and enhance the thermal stability of the thermocouple. Liu et al. (Contribution 8) conducted in-depth analysis on the design and optimization of hemispherical resonators. The geometric parameters that significantly contribute to the performance of the resonator were determined via a thermoelastic model and process characteristics. And then they proposed an optimization method for the MEMS polysilicon hemispherical resonator based on PSO-BP and NSGA-II. Kim et al. (Contribution 9) designed a multi-metal crack detection (MCD) microwave sensor with two independent complementary split-ring resonators (CSRRs) loaded onto the substrate-integrated waveguide (SIW). The concentrated electromagnetic field of the SIW improves the Q-factor of the CSRRs. The proposed multi-MCD sensor can detect cracks of different widths and depths with a high Q-factor and high precision. Guo et al. (Contribution 10) studied the three-dimensional numerical simulation and structural optimization for a MEMS skin friction sensor in hypersonic flow. The objective of this study is to investigate the influence of sensor-sensitive structure on wall-flow characteristics and friction measurement accuracy. To this end, the two-dimensional and three-dimensional numerical models of the sensor in the hypersonic flow field based on computational fluid dynamics (CFD) are presented. Finally, the sensor-sensitive unit structure’s design criterion is obtained to improve skin friction’s measurement accuracy.
We would like to take this opportunity to thank all the authors who have submitted their papers to this Special Issue and to thank all the reviewers for their contributions in evaluating the submitted papers and for their efforts in improving the quality of the manuscripts.

Conflicts of Interest

The authors declare no conflicts of interest.

List of Contributions

  • Zhang, M.; Liu, Q.; Zhu, M.; Chen, J.; Chen, D.; Wang, J.; Lu, Y. A MEMS Electrochemical Angular Accelerometer with Silicon-Based Four-Electrode Structure. Micromachines 2024, 15, 351. https://doi.org/10.3390/mi15030351
  • Zhang, X.; Li, P.; Zhuang, X.; Sheng, Y.; Liu, J.; Gao, Z.; Yu, Z. Weak Capacitance Detection Circuit of Micro-Hemispherical Gyroscope Based on Common-Mode Feedback Fusion Modulation and Demodulation. Micromachines 2023, 14, 1161. https://doi.org/10.3390/mi14061161
  • Yasunaga, S.; Takahashi, H.; Takahata, T.; Shimoyama, I. MEMS Differential Pressure Sensor with Dynamic Pressure Canceler for Precision Altitude Estimation. Micromachines 2023, 14, 1941. https://doi.org/10.3390/mi14101941
  • Qin, X.; Chen, X.; Yang, Q.; Yang, L.; Liu, Y.; Zhang, C.; Wei, X.; Wang, W. Analysis of Acousto-Optic Phenomenon in SAW Acoustofluidic Chip and Its Application in Light Refocusing. Micromachines 2023, 14, 943. https://doi.org/10.3390/mi14050943
  • Wang, C.; Zhang, Y.; Han, F.; Jiang, Z. Flexible Thermoelectric Type Temperature Sensors Based on Graphene Fibers. Micromachines 2023, 14, 1853. https://doi.org/10.3390/mi14101853
  • Chen, H.; Liu, T.; Feng, N.; Shi, Y.; Zhou, Z.; Dai, B. Structural Design of Dual-Type Thin-Film Thermopiles and Their Heat Flow Sensitivity Performance. Micromachines 2023, 14, 1458. https://doi.org/10.3390/mi14071458
  • Han, Y.; Ruan, Y.; Xue, M.; Wu, Y.; Shi, M.; Song, Z.; Zhou, Y.; Teng, J. Effect of Annealing Time on the Cyclic Characteristics of Ceramic Oxide Thin Film Thermocouples. Micromachines 2022, 13, 1970. https://doi.org/10.3390/mi13111970
  • Liu, J.; Li, P.; Zhuang, X.; Sheng, Y.; Qiao, Q.; Lv, M.; Gao, Z.; Liao, J. Design and Optimization of Hemispherical Resonators Based on PSO-BP and NSGA-II. Micromachines 2023, 14, 1054. https://doi.org/10.3390/mi14051054
  • Kim, Y.; Park, E.; Salim, A.; Kim, J.; Lim, S. Microwave DualCrack Sensor with a High Q-Factor Using the TE20 Resonance of a Complementary Split-Ring Resonator on a Substrate-Integrated Waveguide. Micromachines 2023, 14, 578. https://doi.org/10.3390/mi14030578
  • Guo, H.; Wang, X.; Liu, T.; Guo, Z.; Gao, Y. 3D Numerical Simulation and Structural Optimization for a MEMS Skin Friction Sensor in Hypersonic Flow. Micromachines 2022, 13, 1487. https://doi.org/10.3390/mi13091487

References

  1. de Groot, W.A.; Webster, J.R.; Felnhofer, D.; Gusev, E.P. Review of device and reliability physics of dielectrics in electrostatically driven MEMS devices. IEEE Trans. Device Mater. Reliab. 2009, 9, 190–202. [Google Scholar] [CrossRef]
  2. Zhu, J.; Liu, X.; Shi, Q.; He, T.; Sun, Z.; Guo, X.; Lee, C. Development trends and perspectives of future sensors and MEMS/NEMS. Micromachines 2019, 11, 7. [Google Scholar] [CrossRef] [PubMed]
  3. Liu, Y.; Jiang, X.; Yang, H.; Qin, H.; Wang, W. Structural Engineering in Piezoresistive Micropressure Sensors: A Focused Review. Micromachines 2023, 14, 1507. [Google Scholar] [CrossRef] [PubMed]
  4. Nallathambi, A.; Shanmuganantham, T.; Sindhanaiselvi, D. Design and analysis of MEMS based piezoresistive pressure sensor for sensitivity enhancement. Mater. Today Proc. 2018, 5, 1897–1903. [Google Scholar] [CrossRef]
  5. Kose, T.; Azgin, K.; Akin, T. Design and fabrication of a high performance resonant MEMS temperature sensor. J. Micromech. Microeng. 2016, 26, 045012. [Google Scholar] [CrossRef]
  6. Algamili, A.S.; Khir, M.H.; Ahmed, A.Y.; Rabih, A.A.; Ba-Hashwan, S.S.; Alabsi, S.S.; Al-Mahdi, O.L.; Isyaku, U.B.; Ahmed, M.G.; Junaid, M. Fabrication and Characterization of the Micro-Heater and Temperature Sensor for PolyMUMPs-Based MEMS Gas Sensor. Micromachines 2022, 13, 525. [Google Scholar] [CrossRef] [PubMed]
  7. Liu, M.; Wu, X.; Niu, Y.; Yang, H.; Zhu, Y.; Wang, W. Research Progress of MEMS Inertial Switches. Micromachines 2022, 13, 359. [Google Scholar] [CrossRef] [PubMed]
  8. Singh, V.; Kumar, V.; Saini, A.; Khosla, P.K.; Mishra, S. Design and development of the MEMS-based high-g acceleration threshold switch. J. Microelectromech. Syst. 2020, 30, 24–31. [Google Scholar] [CrossRef]
  9. Ren, J.; Zhou, T.; Zhou, Y.; Li, Y.; Su, Y. An In-Run Automatic Mode-Matching Method with Amplitude Correction and Phase Compensation for MEMS Disk Resonator Gyroscope. IEEE Trans. Instrum. Meas. 2023, 72, 7505911. [Google Scholar] [CrossRef]
  10. Li, Z.; Cui, Y.; Gu, Y.; Wang, G.; Yang, J.; Chen, K.; Cao, H. Temperature drift compensation for four-mass vibration MEMS gyroscope based on EMD and hybrid filtering fusion method. Micromachines 2023, 14, 971. [Google Scholar] [CrossRef]
  11. Dennis, J.O.; Ahmed, A.Y.; Khir, M.H. Fabrication and characterization of a CMOS-MEMS humidity sensor. Sensors 2015, 15, 16674–16687. [Google Scholar] [CrossRef] [PubMed]
  12. Hassan, A.S.; Juliet, V.; Raj, C.J.A. MEMS bas ed humidity sensor with integration of temperature sensor. Mater. Today Proc. 2018, 5, 10728–10737. [Google Scholar] [CrossRef]
  13. Zhang, F.; Wang, C.; Yuan, M.; Tang, B.; Xiong, Z. Conception, fabrication and characterization of a silicon based MEMS inertial switch with a threshold value of 5 g. J. Micromech. Microeng. 2017, 27, 125001. [Google Scholar] [CrossRef]
  14. Song, X.; Liu, H.; Fang, Y.; Zhao, C.; Qu, Z.; Wang, Q.; Tu, L.C. An integrated gold-film temperature sensor for in situ temperature measurement of a high-precision MEMS accelerometer. Sensors 2020, 20, 3652. [Google Scholar] [CrossRef]
  15. Xu, Q.; Rocha, R.T.; Algoos, Y.; Feron, E.; Younis, M.I. Design, simulation, and testing of a tunable MEMS multi-threshold inertial switch. Microsyst. Nanoeng. 2024, 10, 31. [Google Scholar] [CrossRef] [PubMed]
  16. Zhang, J.; Chen, J.; Li, M.; Ge, Y.; Wang, T.; Shan, P.; Mao, X. Design, fabrication, and implementation of an array-type MEMS piezoresistive intelligent pressure sensor system. Micromachines 2018, 9, 104. [Google Scholar] [CrossRef] [PubMed]
  17. Zhao, Y.; Wang, Z.; Tan, S.; Liu, Y.; Chen, S.; Li, Y.; Hao, Q. Dependance of Gauge Factor on Micro-Morphology of Sensitive Grids in Resistive Strain Gauges. Micromachines 2022, 13, 280. [Google Scholar] [CrossRef]
  18. Cao, Y.; Xi, Z.; Yu, P.; Wang, J.; Nie, W. A MEMS inertial switch with a single circular mass for universal sensitivity. J. Micromech. Microeng. 2015, 25, 105005. [Google Scholar] [CrossRef]
  19. Zhang, W.; Hao, C.; Zhang, Z.; Yang, S.; Peng, J.; Wu, B.; Wang, R. Vector high-resolution marine turbulence sensor based on a MEMS bionic cilium-shaped structure. IEEE Sens. J. 2020, 21, 8741–8750. [Google Scholar] [CrossRef]
  20. Baik, J.; Seo, S.; Lee, S.; Yang, S.; Park, S.M. Circular radio-frequency electrode with MEMS temperature sensors for laparoscopic renal sympathetic denervation. IEEE Trans. Biomed. Eng. 2021, 69, 256–264. [Google Scholar] [CrossRef]
  21. Ghazali, M.H.M.; Rahiman, W. Fuzzy-Oriented Anomaly Inspection in Unmanned Aerial Vehicle (UAV) Based on MEMS Accelerometers in Multi-Mode Environment. IEEE Trans. Instrum. Meas. 2023, 72, 3530710. [Google Scholar] [CrossRef]
  22. Podder, I.; Fischl, T.; Bub, U. Artificial Intelligence Applications for MEMS-Based Sensors and Manufacturing Process Optimization. Telecom 2023, 4, 165–197. [Google Scholar] [CrossRef]
  23. Xu, Q.; Yang, Z.; Sun, Y.; Lai, L.; Jin, Z.; Ding, G.; Wang, J. Shock-resistibility of mems-base d inertial microswitch under reverse directional ultra-high g acceleration for IoT applications. Sci. Rep. 2017, 7, 45512. [Google Scholar] [CrossRef] [PubMed]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Wang, W.; Ruan, Y.; Zhou, Z.; Liu, M. Design and Fabrication of Micro/Nano Sensors and Actuators, Volume II. Micromachines 2024, 15, 667. https://doi.org/10.3390/mi15060667

AMA Style

Wang W, Ruan Y, Zhou Z, Liu M. Design and Fabrication of Micro/Nano Sensors and Actuators, Volume II. Micromachines. 2024; 15(6):667. https://doi.org/10.3390/mi15060667

Chicago/Turabian Style

Wang, Weidong, Yong Ruan, Zaifa Zhou, and Min Liu. 2024. "Design and Fabrication of Micro/Nano Sensors and Actuators, Volume II" Micromachines 15, no. 6: 667. https://doi.org/10.3390/mi15060667

APA Style

Wang, W., Ruan, Y., Zhou, Z., & Liu, M. (2024). Design and Fabrication of Micro/Nano Sensors and Actuators, Volume II. Micromachines, 15(6), 667. https://doi.org/10.3390/mi15060667

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop