Next Article in Journal
Forecasting System for Inbound Logistics Material Flows at an International Automotive Company
Previous Article in Journal
A Comparative Study of the Effects of Jatropha multifida and Euphorbia hirta and Their Mixture on Pathogenic Growth Rate
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Proceeding Paper

Combining COMSOL Modeling with Different Piezoelectric Materials to Design MEMS Cantilevers for Marine Sensing Robotics †

by
Basit Abdul
1,*,
Mohammad Abul Hasan Shibly
2 and
Abdul Rab Asary
3
1
Nanotechnology Research and Application Center, Sabanci University, 34956 Istanbul, Turkey
2
Department of Textile Engineering, National Institute of Textile Engineering and Research, Dhaka 1350, Bangladesh
3
Energy Science and Engineering Department, University of Naples Parthenope, 80133 Napoli, Italy
*
Author to whom correspondence should be addressed.
Presented at the 2nd International Electronic Conference on Processes: Process Engineering—Current State and Future Trends (ECP 2023), 17–31 May 2023; Available online: https://ecp2023.sciforum.net/.
Eng. Proc. 2023, 37(1), 64; https://doi.org/10.3390/ECP2023-14641
Published: 17 May 2023

Abstract

:
This work presents a novel, highly sensitive, and directional piezoelectric cantilever-based micro-electro-mechanical system (MEMS) device conceived using a biomimetic approach of a fish’s lateral line system for marine sensing robotics. The device will consist of twelve cantilevers with different lengths in a cross-shaped configuration made with a piezoelectric thin film (PZT, ZnO, BaTiO3) embedded between the top and bottom metals, Platinum (Pt) and Aluminum (Al), used as electrodes. This unique design of cantilevers in circular shapes has the advantage of directional response. A comparative study of these piezoelectric materials was performed analytically through the finite element method to design, model, and simulate our device in COMSOL software. Cantilever microstructures were simulated with lengths ranging from 100 to 1000 mm. The results show that PZT has the best performance with these materials. The maximum potential voltage was shown as 1.9 mV using the PZT material cantilever with 29 µm displacement.

1. Introduction

Nature has always been an inspiration for human scientific advancements. Some of the vital abilities of living organisms can serve as a rich source of inspiration for humans to create their counterparts, allowing for various applications in different sectors [1,2]. Animals use mechanoreceptors with various structures to acquire information from their surroundings and convert them into important biological signals for their survival [3,4]. A fish’s lateral line system, for example, helps it to recognize external stimuli and respond accordingly. Mimicking these natural cilia offers different techniques to design advanced and innovative artificial hair-like sensors as hydrophones in water. Biomimetic cilia-based devices have attracted significant attention from researchers due to the micro-electro-mechanical system (MEMS) technology. The piezoelectric hydrophone is an acoustics device used to detect underwater noise and signals; therefore, it has great importance in marine resource exploration, sonar systems, submarine, and marine sensing robotics [5,6,7,8].
An advancement in underwater acoustic sensors was made using MEMS cantilevers for marine sensing robotics [6]. A directional hydrophone was formed with these MEMS cantilevers that detect the direction from which the incoming signal is coming [9,10]. Due to their micrometer size and light weight, these hydrophones can be mounted in autonomous underwater vehicles such as AUVs and ROVs. We can locate enemy submarines, underwater drones, and warships through this microsensor, thus improving our defense [10,11]. Furthermore, this Vector Hydrophone will aid in developing submarine communication systems, sonobuoys, SONARs, fish tracking, oceanographic surveys, and marine life surveys [11].
During the past two decades, micro-electro-mechanical systems (MEMS) have interested many researchers, especially with microsensors and actuators. Among them, pressure sensors are essential [12]. Different types of pressure sensors exist based on various physical properties, such as piezoresistive, piezoelectric, capacitive, magnetic, and electrostatic. Due to their electromechanical coupling and their ability to be micromachined, piezoelectric thin films assist in developing nanoscale and microscale devices [13,14]. The thin films of piezoelectric materials, Barium titanate (BaTiO3), Zinc Oxide (ZnO), and Lead zirconate titanate (PZT), are used in MEMS/NEMS systems as actuators, sensors, surface acoustic wave (SAW) filters, and bulk acoustic wave (BAW) resonators [15,16]. PZT is a promising active material among piezoelectric polycrystalline films due to its interesting properties. It can be easily engineered in shape and geometry, exploiting conventional microfabrication techniques [16].
The piezoelectric hydrophone is an acoustics device used to detect underwater noise and signals; therefore, it has great importance in marine sensing robotics [17,18]. Different mechanoreceptor designs were exploited for biomimetic MEMS flow sensors [19,20,21]. A piezoelectric directional hydrophone inspired by a fish’s lateral line system and based on the AlN functional layer was reported to find the acoustic source direction in the ultrasonic frequency range [10], and a novel directivity pattern was introduced [10].
In this work, we used COMSOL to study the displacement and voltage response of MEMS cantilevers with different piezoelectric materials: Barium titanate (BaTiO3), Zinc Oxide (ZnO), and Lead zirconate titanate (PZT). The proposed work has significant importance in miniaturization, sensitivity, and bandwidth.

2. Bionic and Vibration Picking Principle

A fish’s lateral line is a particular sensory organ consisting of cilia-based mechanoreceptors called neuromasts. A jelly-like cupula covers these cilia that are situated in the canals along the body or on the fish’s skin. Figure 1a–c illustrate the bionic representation of a fish’s lateral line system, while Figure 1d shows a schematic path of the sensing mechanism.

3. Device Design and Modeling

The simulation was performed using COMSOL Multiphysics FEM software, implementing the piezoelectric constitutive equations. Piezoelectricity is a coupling mechanism relating a material’s mechanical and electrical properties. An electrical charge is produced when the piezoelectric material is mechanically deformed and vice versa. The piezoelectric constitutive equations, also known as “coupled equations”, are given below [9,10] in the stress-charge form:
T = sE SeT E
D = e S + ε E
where S is the strain tensor, sE is the elasticity matrix, T is the stress tensor, e is the piezoelectric coupling matrix, D is the tensor of electric displacement, ε is the electrical permittivity, and E is the electric field.
Piezoelectric materials deform when strained by an external force, producing an electrical charge on opposing surfaces [6]. This is because these materials have permanent dipoles. In the presence of differential surface stress on the tip of a cantilever, the displacement z can be expressed as follows [22]
Z = 3 1 v L 2 T 2 E σ s
where L is the length of the cantilever, T is the overall cantilever thickness, ν is the Poisson ratio, S is the differential surface stress, and E is Young’s modulus.
Assuming a thin piezoelectric layer is on a thick elastic substrate without external force or movement [23], the relationship between the cantilever tip displacement and the corresponding voltage is written as
V = T 2 E e 3 d 31 L 2 E p Z
Rearrange Equation (4) using Equation (3) and write as
V = E e 1 v d 31 E p E σ s
where V is the potential voltage generated with microcantilevers, Ep is Young’s modulus of elasticity for the piezoelectric, Ee is Young’s modulus and d31 is the piezoelectric constant of the piezoelectric material.
Different piezoelectric materials like BaTiO3, ZnO, and PZT were simulated and compared to find the best suitable functional material for MEMS cantilevers. In this design, simulations of cantilever microstructures between 100 and 1000 m were performed to study the effect of length on displacement (Figure 2a) and voltage response. In order to study the behavior of microcantilevers, solid mechanics, electrostatics, and pressure acoustics were used. Furthermore, the following conditions were applied: the cantilever was constrained at one end and free at the other. Each layer of the cantilever was in static equilibrium. All layers were in the form of a solid rectangular shape with equal Length, L, and width, W (Figure 2b). The width of each cantilever was fixed at 50 μm. Microcantilevers have a piezoelectric thin film of 1 µm and metal electrodes of 200 nm thickness. The acoustic–structure interaction and piezoelectric effect of each cantilever were simulated to find the displacement and voltage response of the MEMS cantilevers (Figure 2c). The mesh was composed of 202,168 to 253,278 elements, using free quad and free tetrahedral finite elements.

4. Results

COMSOL Multiphysics was used to analyze the designed 3-D model of microcantilevers with different lengths (100 m to 1000 m) to determine the displacement response and potential voltage response, as shown in Figure 3. The simulated results showed that microcantilevers with PZT had maximum displacement among these piezoelectric materials, while BaTiO3 showed the lowest displacement. Similarly, the potential voltage response of these microcantilevers reached its maximum using PZT material.

5. Conclusions

This work designs and models MEMS cantilevers on COMSOL Multiphysics. The COMSOL built-in material properties, thickness, and governing equations were provided for analyzing the MEMS piezoelectric cantilevers. The simulation setups and parameters were defined. Based on the simulation results, PZT performs best in these piezoelectric materials. Simulations can provide guidelines for designing and optimizing piezoelectric microcantilever pressure sensors based on comparative analysis. Therefore, MEMS piezoelectric cantilevers can be used as hydrophones for measuring underwater acoustics for pulse amplitudes and directions. It is possible to identify the direction of acoustic waves via cross-configurations with different cantilever lengths.

Author Contributions

Conceptualization, B.A. and M.A.H.S.; methodology, B.A.; software, B.A. and M.A.H.S.; validation, B.A., M.A.H.S. and A.R.A.; formal analysis, A.R.A.; investigation, B.A.; resources, B.A.; data curation, B.A. and A.R.A.; writing—original draft preparation, B.A.; writing—review and editing, B.A., M.A.H.S. and A.R.A.; visualization, M.A.H.S.; supervision, B.A.; project administration, B.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available within the article and are presented in every graph. There are no more data apart from the presented information.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Zhou, Z.-G.; Liu, Z.-W. Biomimetic Cilia Based on MEMS Technology. J. Bionic Eng. 2008, 5, 358–365. [Google Scholar] [CrossRef]
  2. Han, Z.; Liu, L.; Wang, K.; Song, H.; Chen, D.; Wang, Z.; Niu, S.; Zhang, J.; Ren, L. Artificial Hair-Like Sensors Inspired from Nature: A Review. J. Bionic Eng. 2018, 15, 409–434. [Google Scholar] [CrossRef]
  3. Coombs, S.; Görner, P.; Münz, H. The Mechanosensory Lateral Line, 1st ed.; Springer: New York, NY, USA, 1989. [Google Scholar] [CrossRef]
  4. Mogdans, J.; Engelmann, J.; Hanke, W.; Kröther, S. The Fish Lateral Line: How to Detect Hydrodynamic Stimuli; Springer: Vienna, Austria, 2003; pp. 173–185. [Google Scholar] [CrossRef]
  5. Sane, S.P.; McHenry, M.J. The biomechanics of sensory organs. Integr. Comp. Biol. 2009, 49, i8–i23. [Google Scholar] [CrossRef]
  6. Guan, L.; Xue, C.; Zhang, G.; Zhang, W.; Wang, P. Advancements in technology and design of NEMS vector hydrophone. Microsyst. Technol. 2011, 17, 459–467. [Google Scholar] [CrossRef]
  7. Liu, C. Foundations of MEMS; Pearson Education, Inc.: Upper Saddle River, NJ, USA, 2005. [Google Scholar]
  8. Ramadan, K.S.; Sameoto, D.; Evoy, S. A review of piezoelectric polymers as functional materials for electromechanical transducers. Smart Mater. Struct. 2014, 23, 033001. [Google Scholar] [CrossRef]
  9. Abdul, B.; Mastronardi, V.; Qualtieri, A.; Guido, F.; Algieri, L.; Rizzi, F.; De Vittorio, M. Design, fabrication and characterization of piezoelectric cantilever MEMS for underwater application. Micro Nano Eng. 2020, 7, 100050. [Google Scholar] [CrossRef]
  10. Abdul, B.; Mastronardi, V.M.; Qualtieri, A.; Algieri, L.; Guido, F.; Rizzi, F.; De Vittorio, M. Sensitivity and directivity analysis of piezoelectric ultrasonic cantilever-based mems hydrophone for underwater applications. J. Mar. Sci. Eng. 2020, 8, 784. [Google Scholar] [CrossRef]
  11. Caruso, F.; Alonge, G.; Bellia, G.; De Domenico, E.; Grammauta, R.; Larosa, G.; Mazzola, S.; Riccobene, G.; Pavan, G.; Papale, E.; et al. Long-term monitoring of dolphin biosonar activity in deep pelagic waters of the Mediterranean Sea. Sci. Rep. 2017, 7, 4321. [Google Scholar] [CrossRef] [PubMed]
  12. Liu, M.; Cui, T.; Dong, W.; Cui, Y.; Wang, J.; Du, L.; Wang, L. Piezoelectric microcantilevers with two with two PZT thin-film elements for microsensors and microactuators. In Proceedings of the 1st IEEE International Conference on Nano/Micro Engineered and Molecular Systems, Zhuhai, China, 19–21 January 2006. [Google Scholar]
  13. Kordrostami, Z.; Roohizadegan, S. Particle Swarm Approach to the Optimisation of Trenched Cantilever- Based MEMS Piezoelectric Energy Harvesters. IET Sci. Meas. Technol. 2019, 13, 536–543. [Google Scholar] [CrossRef]
  14. Kashiwao, T.; Izadgoshasb, I.; Lim, Y.Y.; Deguchi, M. Optimization of Rectifier Circuits for a Vibration Energy Harvesting System Using a Macro-Fiber Composite Piezoelectric Element. Microelectron. J. 2016, 54, 109–115. [Google Scholar] [CrossRef]
  15. Wang, Z.L. Zinc oxide nanostructures: Growth, properties and applications. J. Phys. Condens. Matter 2004, 16, R829. [Google Scholar] [CrossRef]
  16. Mortet, V.; Nesladek, M.; Haenen, K.; Morel, A.; D’Olieslaeger, M.; Vanecek, M. Physical properties of polycrystalline aluminium nitride films deposited by magnetron sputtering. Diam. Relat. Mater. 2004, 13, 1120–1124. [Google Scholar] [CrossRef]
  17. Wang, Y.; Yan, J.; Cheng, H.; Chen, N.; Yan, P.; Ouyang, J. Low Thermal Budget Lead Zirconate Titanate Thick Films Integrated on Si for Piezo-MEMS Applications. Microelectron. Eng. 2020, 219, 111145. [Google Scholar] [CrossRef]
  18. Rockstad, H.K.; Kenny, T.W.; Kelly, P.J.; Gabrielson, T.B. A Microfabricated Electron-Tunneling Accelerometer as a Directional Underwater Acoustic Sensor. Am. Inst. Phys. 2008, 57, 57–68. [Google Scholar] [CrossRef]
  19. Zhang, G.; Wang, P.; Guan, L.; Xiong, J.; Zhang, W. Improvement of the MEMS Bionic Vector Hydrophone. Microelectron. J. 2011, 42, 815–819. [Google Scholar] [CrossRef]
  20. Xue, C.; Chen, S.; Zhang, W.; Zhang, B.; Zhang, G.; Qiao, H. Design, Fabrication, and Preliminary Characterization of a Novel MEMS Bionic Vector Hydrophone. Microelectron. J. 2007, 38, 1021–1026. [Google Scholar] [CrossRef]
  21. Abdul, B.; Abdul, S.; Asary, A.R. Biomimetic Cilia-based MEMS Sensors for Underwater Applications—A Review. N. Am. Acad. Res. 2021, 4, 11–21. [Google Scholar] [CrossRef]
  22. Calleja, M.; Tamayo, J.; Johansson, A.; Rasmussen, P.; Lechuga, L.M.; Boisen, A. Polymeric cantilever arrays for biosensing applications. Sens. Lett. 2003, 1, 20–24. [Google Scholar] [CrossRef]
  23. Zhang, X.D.; Sun, C.T. Minimum detectable force gradients of piezoelectric microcantilever. J. Micromech. Microeng. 1995, 5, 231–236. [Google Scholar]
Figure 1. (a) Fish’s lateral line organ. (b) Structure of the canal. (c) A schematic of a neuromast [21]. (d) Vibration picking principle of the lateral line system.
Figure 1. (a) Fish’s lateral line organ. (b) Structure of the canal. (c) A schematic of a neuromast [21]. (d) Vibration picking principle of the lateral line system.
Engproc 37 00064 g001
Figure 2. (a) Simulated microcantilever with the deformed position. (b) Side view of microcantilevers. (c) Facet–to–face configuration of the microcantilever.
Figure 2. (a) Simulated microcantilever with the deformed position. (b) Side view of microcantilevers. (c) Facet–to–face configuration of the microcantilever.
Engproc 37 00064 g002
Figure 3. (a) Microcantilevers displacement vs. length with different piezoelectric materials. (b) Microcantilever voltage response vs. length with different piezoelectric materials.
Figure 3. (a) Microcantilevers displacement vs. length with different piezoelectric materials. (b) Microcantilever voltage response vs. length with different piezoelectric materials.
Engproc 37 00064 g003
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

Abdul, B.; Shibly, M.A.H.; Asary, A.R. Combining COMSOL Modeling with Different Piezoelectric Materials to Design MEMS Cantilevers for Marine Sensing Robotics. Eng. Proc. 2023, 37, 64. https://doi.org/10.3390/ECP2023-14641

AMA Style

Abdul B, Shibly MAH, Asary AR. Combining COMSOL Modeling with Different Piezoelectric Materials to Design MEMS Cantilevers for Marine Sensing Robotics. Engineering Proceedings. 2023; 37(1):64. https://doi.org/10.3390/ECP2023-14641

Chicago/Turabian Style

Abdul, Basit, Mohammad Abul Hasan Shibly, and Abdul Rab Asary. 2023. "Combining COMSOL Modeling with Different Piezoelectric Materials to Design MEMS Cantilevers for Marine Sensing Robotics" Engineering Proceedings 37, no. 1: 64. https://doi.org/10.3390/ECP2023-14641

Article Metrics

Back to TopTop