Next Article in Journal
Extraction of Cellulose from Ulva lactuca Algae and Its Use for Membrane Synthesis
Previous Article in Journal
Investigation of Novel Solid Dielectric Material for Transformer Windings
Previous Article in Special Issue
An Eco-Friendly Adsorbent Based on Bacterial Cellulose and Vermiculite Composite for Efficient Removal of Methylene Blue and Sulfanilamide
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Comparative Performance Analysis of Inverse Phase Active Vibration Cancellation Using Macro Fiber Composite (MFC) and Vibration Absorption of Silicone Gel for Vibration Reduction

1
Department of Smart Wearable Engineering, Soongsil University, Seoul 06978, Republic of Korea
2
Department of Materials Science and Engineering, Soongsil University, Seoul 06978, Republic of Korea
*
Author to whom correspondence should be addressed.
Polymers 2023, 15(24), 4672; https://doi.org/10.3390/polym15244672
Submission received: 30 September 2023 / Revised: 5 December 2023 / Accepted: 7 December 2023 / Published: 11 December 2023
(This article belongs to the Special Issue Advanced Multi-Functional Polymer Composites II)

Abstract

:
This study focuses on addressing the issue of unwanted vibrations commonly encountered in various fields by designing an Active Vibration Cancellation (AVC) structure using a flexible piezoelectric composite material macro fiber composite (MFC). A comparative performance analysis was conducted between the AVC and a traditional passive gel that continuously absorbs vibrations. The results showed that AVC was more effective in mitigating vibrations, making it a promising solution for vibration control. The results of this study from extensive vibration–sensing experiments and comparisons revealed that AVC effectively cancels the vibrations and vibration absorption performance of the passive gel. These findings underline the potential of AVC as an efficient method for eliminating and managing undesired vibrations in practical applications. Specifically, AVC demonstrated a high vibration cancellation ratio of approximately 0.96 at frequencies above 10 Hz. In contrast, passive gel exhibited a relatively consistent vibration absorption ratio, approximately 0.70 to 0.75 at all tested frequencies. These quantitative findings emphasize the superior performance of AVC in reducing vibrations to levels below a certain threshold, demonstrating its efficacy for vibration control in real-world scenarios.

1. Introduction

Smart materials, particularly piezoelectric materials, are increasingly being studied in the field of vibration control. Piezoelectric materials can convert the deformation caused by vibrations into an electrical signal that can be used for self-sensing. Conversely, deformation can be induced by applying an electrical signal, utilizing the inverse piezoelectric effect. However, traditional piezoelectric materials, such as ceramic-based lead zirconate titanate (PZT), have limited flexibility and cannot be easily shaped to conform to the surface of a vibrating structure. Additionally, their deformation capabilities are limited, which restricts their effectiveness in vibration–control applications. In response to these limitations, new piezoelectric materials, such as PZT fiber used in MFC [1,2], have been developed. These materials provide greater flexibility [3] and displacement capabilities [4,5], making them better suited for vibration–control applications [6,7].
The MFC is a revolutionary composite actuator that was recently developed at the NASA Langley Research Center [1]. An MFC consists of piezoelectric fibers embedded in a flexible polymer matrix. Due to their composite structure, they have the flexibility to conform to curved surfaces, making them suitable for vibration control and structural health–monitoring applications [8]. MFC offers several advantages over traditional piezoelectric materials, including a higher strain output, greater flexibility, and easier integration into structures [9,10]. As a result, MFC is an attractive option for a wide range of applications, including aerospace [2,11,12], civil engineering [13,14], and other fields where vibration control [15] and sensing are critical.
Various vibration control methods have been developed including passive damping [16,17], active control [18,19], and semi-active control [20]. Passive damping involves optimizing the properties and shape of damping materials to absorb energy and reduce the amplitude of vibrations according to the attachment surface, location, shape, and intensity of the vibrations. Typical materials suitable for this include rubber [21,22,23], silicone [24,25,26], and viscoelastic polymers [27,28,29]. They are used to reduce basic vibrations due to their low cost, ease of production, and processability. In one study, vibrations were passively filtered by using physical bonds within the gel structure to separate and recombine the vibrations above a certain frequency [30]. Another study confirmed that PVA gel, which has chemical and physical network bonds within a single polymer, efficiently absorbs vibrations over a wide frequency range [31].
However, the viscoelastic properties of polymer gels are significantly affected by the nature and structure of their bonds. In the case of hydrogels, these properties are further affected by moisture content. Moreover, external environmental temperature variations and the target vibration frequency can break the bonds and alter the viscoelastic properties. Therefore, vibrational absorption by polymer gels has several limitations.
In contrast, active vibration control involves the use of actuators to apply force to the structure to counteract vibrations. Numerous publications have reviewed the applications of smart materials. In an experiment to control the vibration of a cantilever beam using an MFC actuator, a study was conducted to reduce vibration at a frequency of 26.6 Hz by optimizing the applied voltage [13]. One study demonstrated the potential to suppress vibrations by attaching MFC actuators to a curved surface and successfully suppressing vibrations with a frequency of 12.8 Hz [32].
In this study, referring to the study, we modeled a textile actuator with active vibration cancellation capability using MFC. We also compared and analyzed the performance with a passive damping material, silicone gel, to confirm the suitability and potential of the vibration cancellation method. The vibrations to be canceled were generated in the frequency range of 1 to 50 Hz using an MFC vibrator, and the voltage was measured through the piezoelectric effect of the MFC.

2. Materials and Methods

2.1. MFC d31 Type and d33 Type

MFC exhibits distinct structures that can be categorized into two primary types: the d31 and d33 types. These classifications pertain to the orientation of the embedded piezoelectric fibers within the composite structure, which dictates their specific piezoelectric behaviors.
The d31 type of MFC was meticulously engineered to contract when subjected to an electric field applied perpendicular to its surface, polarizing in the thickness direction. This unique polarization pattern induces a characteristic known as the d31 piezoelectric coefficient. The d31 coefficient quantifies the material response in generating an electric charge when experiencing a mechanical strain or deformation perpendicular to its surface. The orientation of the piezoelectric fibers within the composite structure enabled the d31-type MFC to efficiently convert electrical energy into mechanical energy along the thickness direction.
In contrast to the d31 variant, the d33 type of MFC was engineered with a different orientation of the piezoelectric fibers. This design was optimized to expand or contract parallel to the surface upon exposure to an electric field applied in the same direction. This polarization induces the d33 piezoelectric coefficient, which quantifies the material’s response in generating an electric charge when subjected to mechanical strain or deformation along the plane of its surface.
This paper used three coordinate systems: the curvilinear coordinate system, the fiber coordinate system, and the polarization coordinate system. Ref. [33], respectively, by Θ i ,   Θ ˘ i ,   Θ ~ i   i = 1 ,   2 ,   3 , as shown in Figure 1.
In geometry, the curvilinear coordinate system is applied to represent the three-axis directions, the thickness direction, and the other two axes denoting the in-plane directions for the MFC. The fiber coordinate system defines the fiber orientations represented by Θ ˘ 1 . The polarization coordinate system defines the piezoelectric effects of the MFC, specifically the d31 and 33 types. In summary, with the three types of coordinate systems, we can understand the PZT fiber orientations using the fiber coordinate system and the directions of the piezoelectric effects using the polarization coordinate system for both types of the MFC. In this study, to achieve active vibration cancellation, we utilized a d31 type of MFC that vibrates in the thickness direction, effectively creating inverse-phase vibrations opposite to the direction of the original vibration.
In this study, we used MFC P2 type (d31 type) films purchased from Smart Material Corp. The engineering characteristics associated with it are summarized in Table 1, which presents the properties provided by the Smart Material Corp [2]. The piezoelectric effect and inverse piezoelectric effect of the MFC actuator can be represented by the constitutive equations as shown in Equations (1) and (2) [33]. Deformation due to vibrations in the MFC generates a sensing voltage, whereas the application of a voltage deforms the MFC.
ε ˘ = s ˘ σ ˘ + d ˘ E ˘
D ˘ = d ˘ σ ˘ + ϵ ˘ E ˘

2.2. Active Vibration Cancellation (AVC)

As shown in Figure 2a, the AVC structure with MFCs was designed to generate vibrations in the inverse phase with the generated vibrations. The bottom layer served as the MFC vibrator capable of generating vibrations to cancel out unwanted vibrations, whereas the middle layer housed the sensor for detecting vibrations. The top layer contained the MFC actuator, which generated inverse–phase vibrations by reversing the MFC vibrator of the AVC. Additionally, we used an adhesive layer between each layer to ensure that there were no gaps.
For a performance comparison, the passive gel structure, as depicted in Figure 2b, was designed to minimize any structural performance differences. The MFC vibrator and MFC sensor were positioned around the passive gel to match their dimensions. The passive gel used in this setup was produced with Smooth-On Inc. (Macungie, PA, USA)’s silicone rubber Ecoflex-0030, with a thickness of 1.0 mm, matching the width of the MFC, to be used for vibration damping.
For the AVC experiments, as shown in Figure 3, we used the Analog Discovery 2 Digilent Inc. (Pullman, WA, USA), which incorporates an oscilloscope and function generator functionalities. The MFC actuator and MFC vibrator were provided with voltage amplification within the peak-to-peak voltage range of −60 to 340 Vpp, falling within their operating voltage limits. For the MFC sensor, we conducted sensing with an oscilloscope at a sampling frequency of 800 Hz for a duration of 10 s to evaluate the performance of the vibration, AVC, and the passive gel.

3. Results

3.1. Vibration Sensing of no AVC

To assess the performance of the AVC, we initially conducted measurements solely on the vibrations produced by the MFC vibrator, excluding the operation of the MFC actuator. The results are shown at 10 Hz intervals within the 1 to 50 Hz frequency range, as shown in Figure 4. The voltage measurements exhibited varying ranges: (a) ranged from −0.1 to 0.12 V, (b) from −0.5 to 0.53 V, (c) from −0.98 to 1.0 V, and (d) from −1.56 to 1.55 V, (e) from −2.05 to 2.09 V, and (f) from −2.46 to 2.61 V. with the range of between the lowest and highest voltage. Notably, there was an observable trend of increasing sensing voltage at higher frequencies. Furthermore, it is worth mentioning that each vibration measurement at a different frequency corresponds precisely to the applied frequency. Figure 5 shows a graphical representation of the maximum sensing voltage as a function of frequency, encompassing measurements across the 1 to 50 Hz spectrum. This graph illustrates a high degree of linearity, characterized by a coefficient of determination of 0.9994.
Upon examining the trend of the sensing voltage in Figure 4, it is evident that there is an absence of harmonic oscillations attributable to external influences. This observation signifies a notable absence of resonance vibrations induced by external factors within the measured sensing voltage data. The discerned absence of harmonic vibrations within the recorded sensing voltage traces is indicative of a system that is remarkably immune to external perturbations. Furthermore, the absence of discernible harmonic patterns within the sensing voltage trend underscores the effectiveness of the implemented isolation and damping mechanisms.
As shown in Figure 5, the maximum sensing voltage consistently increased with the frequency, indicating the absence of resonance within the measured frequency range. The consistent increase in the maximum sensing voltage with respect to frequency across the observed range signifies a lack of resonance occurrences. This absence of resonance points towards the system’s capability to maintain stability without succumbing to resonance-induced fluctuations within the specified frequency range.

3.2. Vibration Sensing of Passive Gel

In order to clearly confirm the vibration of no AVC and the vibration through passive gel, two vibration graphs measured for 10 s were shown in continuous time as shown in Figure 6. The range from 0 to 10 s was the result of no AVC vibration, and the range from 10 to 20 s was the result of passive gel vibration. Vibrations of the same frequency were confirmed. The results are (a) ranged from −0.029 to 0.029 V, (b) from −0.16 to 0.16 V, (c) from −0.3 to 0.3 V, (d) from −0.45 to 0.43 V, (e) from −0.6 to 0.6 V, and (f) from −0.75 to 0.71 V. In the vibration sensing voltage graph, due to the lack of precise vibration visibility within the 10~50 Hz range, an enlarged graph of the data from 10 to 11 s was inserted. This was implemented to facilitate frequency confirmation and enable clearer visualization of the amplitude variations.

3.3. Vibration Sensing of AVC

In the case of the passive gel, the vibration–sensing voltage after vibration absorption is shown in Figure 7 in the same manner as the AVC result. The results of AVC are (a) ranged from −0.058~0.049 V, (b) from −0.05~0.057 V, (c) from −0.048~0.062 V, (d) from −0.045~0.063 V, (e) from −0.049~0.04 V, and (f) from −0.068~0.064 V. Similar to the passive gel sensing voltage graph, the 10~50 Hz range lacked precise visibility of vibrations, prompting the insertion of an enlarged graph displaying data from 10 to 11 s. This implementation was aimed at facilitating easier frequency confirmation and providing a clearer visualization of amplitude variations.
All the vibration results are shown by the frequency based on the maximum sensing voltage as shown in Figure 8a. To compare the performance of AVC and the vibration absorption of the passive gel, the results are expressed as a ratio to no AVC based on the maximum sensing voltage using Equation (3). This is shown in Figure 8b and Table 2.
Vibration ratio = Max sensing voltage (AVC, passive gel)/max sensing voltage of no AVC

4. Discussion

The vibrations of no AVC were sensed using only the MFC vibrator, without engaging the MFC actuator. These measurements exhibited consistent maximum and minimum sensing voltages without any notable noise or complex frequency components. Additionally, the results of the frequency of the vibrations depending on the time were found to match the excitation frequencies precisely. As a result, it was established that the vibrations with no AVC are suitable for evaluating the vibration absorption performance of AVC and passive gel.
A comparison of the performance of the AVC and passive gel, which was the main focus of this study, first confirmed that both structures effectively cancel and absorb vibrations. Regarding the vibration absorption by passive gel, as shown in Figure 6, it was observed that vibrations within the 1 to 50 Hz frequency range, with 10 Hz intervals as in the case of no AVC vibrations, were absorbed, resulting in a significant reduction in the maximum sensing voltage. However, similar to the increase in the maximum sensing voltage observed in the absence of AVC vibrations with increasing frequency, the maximum sensing voltage increased with frequency even in the presence of passive gel vibration absorption. However, for AVC, which cancels vibrations through inverse-phase vibration, as shown in Figure 7, the maximum sensing voltages of AVC vibrations did not vary significantly with frequency. To further analyze the variation in the maximum sensing voltage between the no–AVC and AVC cases, Figure 8a was examined. Both the no–AVC and the passive gel exhibited a gradual increase in the maximum sensing voltage with frequency, while the maximum sensing voltage for AVC remained consistently below approximately 0.065 V, regardless of the frequency. For a more quantitative comparison of the relative vibration cancellation performance against the frequency for no–AVC, the results are represented in Figure 8b and Table 2. AVC demonstrated a high vibration cancellation ratio of approximately 0.59 at 1 Hz and exceeding 0.96 at frequencies above 10 Hz. In contrast, the passive gel exhibited a relatively consistent vibration absorption ratio of approximately 0.70~0.75 at all frequencies.
The difference in the vibration ratio between these two structures was attributed to the method of absorbing vibration energy in the passive gel, which absorbs vibrational energy within its molecular structure, and the method of generating inverse phase vibrations to cancel out the existing vibrational energy in the AVC. Ultimately, in terms of performance, it was determined that AVC, which can effectively cancel out undesired vibrations to a level below a certain threshold under the conditions of this study, outperforms passive gel, which maintains a consistent level of vibration absorption. Table 3 presents a comparative analysis of the effectiveness with other studies aimed at mitigating vibrations. In a study using two identical MFC actuators to dampen structural vibration, the initial vibration was reduced to 0.3. Utilizing quasi-zero-stiffness isolators, the vibration was further decreased to 0.22 compared to both the existing device and thin layer composite [34]. With the application of an unimorph piezoelectric driver and sensor (THUNDER) actuator for vibration isolation, the vibration was reduced to 0.37 of its initial level [35]. This study effectively demonstrated superior preoperative vibration reduction compared to studies focusing on vibration suppression or isolation.
The method employed in this paper to generate inverse–phase vibrations, known as the MFC actuator, involves reversing the same MFC used for the MFC vibrator without the need for an additional control system. In addition to vibration cancellation research on MFC, much research is being conducted on systems that ultimately control vibration. As a control system, there has also been research on active controllers using the Linear Quadratic Gaussian (LQG) theory [36] and research on vibration as a control system using a feedforward strategy [37].
In research on control systems, it is important to minimize the response time of the signal system and increase the vibration reduction effect for non-periodic random signals. Consequently, it is anticipated that there might have been a slight delay in the AVC operation. In the case of the actual application of AVC, the structural part must be determined to calculate the delay for vibration to enable accurate antiphase vibration cancellation of the AVC. However, with proper signal processing and optimization, we believe that this can lead to the development of an even higher–performing AVC.

5. Conclusions

This study developed an Active Vibration Cancellation (AVC) structure using a flexible piezoelectric composite material, MFC, to address and manage unwanted vibrations prevalent across various industries. To evaluate its performance, we conducted comparative experiments with a traditional silicone–based passive gel that is commonly used for continuous vibration absorption.
The results presented clear evidence supporting the AVC system. This distinctly demonstrated AVC’s superior suitability for vibration cancellation, demonstrating its notably enhanced efficacy in vibration mitigation compared to passive gels. These robust experimental findings underscore the significance of MFC technology in the realm of vibration control and present a far more effective solution than conventional passive gels. This emphasizes the potential for employing AVC structures in diverse fields that require precise vibration control.
Furthermore, future research will focus on advancing vibration control systems, aiming for an even greater enhancement of the cancellation effects. This ongoing effort seeks to refine the existing AVC system and explore methods utilizing new materials or technologies to further augment cancellation effectiveness, ultimately striving for superior performance in vibration–control systems.

Author Contributions

As a corresponding author, J.-Y.K. was responsible for the whole structure construction, while S.-U.K. was responsible for reviewing, supervising, experiment design, and modeling. S.-U.K. was responsible for the data collection, processing, and material selection. J.-Y.K. and S.-U.K. drafted the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research was partly funded by the Technology Innovation Program (or Industrial Strategic Technology Development Program-Materials/Parts Package Type) (20016038, development of the textile-IT converged digital sensor modules for smart wear to monitor bio & activity signal in exercise, and KS standard) funded by the Ministry of Trade, Industry & Energy (MOTIE, Republic of Korea) and the Korea Institute for Advancement of Technology (KIAT) grant funded by the Korean Government(MOTIE) (P0012770).

Institutional Review Board Statement

Not applicable.

Data Availability Statement

Data are contained within the article.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Wilkie, W.K.; Bryant, R.G.; High, J.W.; Fox, R.L.; Hellbaum, R.F.; Jalink, A., Jr.; Little, B.D.; Mirick, P.H. Low-cost piezocomposite actuator for structural control applications. In Proceedings of the Smart Structures and Materials 2000: Industrial and Commercial Applications of Smart Structures Technologies, Newport Beach, CA, USA, 12 June 2000; pp. 323–334. [Google Scholar]
  2. Available online: http://www.smart-materials.com (accessed on 31 August 2023).
  3. Choi, S.; Sohn, J. Chattering alleviation in vibration control of smart beam structures using piezofilm actuators: Experimental verification. J. Sound Vib. 2006, 294, 640–649. [Google Scholar] [CrossRef]
  4. Williams, R.B.; Park, G.; Inman, D.J.; Wilkie, W.K. An overview of composite actuators with piezoceramic fibers. Proc. IMAC XX 2002, 47, 130. [Google Scholar]
  5. Hu, K.-m.; Li, H. Large deformation mechanical modeling with bilinear stiffness for Macro-Fiber Composite bimorph based on extending mixing rules. J. Intell. Mater. Syst. Struct. 2021, 32, 127–139. [Google Scholar] [CrossRef]
  6. Qu, J.; Ji, H.; Qiu, J. Prediction and optimization of poling condition for PZT based-macro fiber composites with interdigitated electrodes. J. Alloys Compd. 2022, 896, 163020. [Google Scholar] [CrossRef]
  7. Qu, J.; Ji, H.; Qiu, J. The synergism of peak to peak value, frequency and superimposed DC bias voltage on electric-field-induced strain of PZT based-macro fiber composites. Ceram. Int. 2019, 45, 22067–22077. [Google Scholar] [CrossRef]
  8. Konka, H.P.; Wahab, M.A.; Lian, K. Piezoelectric fiber composite transducers for health monitoring in composite structures. Sens. Actuators A Phys. 2013, 194, 84–94. [Google Scholar] [CrossRef]
  9. Schröck, J.; Meurer, T.; Kugi, A. Control of a flexible beam actuated by macro-fiber composite patches: II. Hysteresis and creep compensation, experimental results. Smart Mater. Struct. 2011, 20, 015016. [Google Scholar] [CrossRef]
  10. Xu, D.; Hu, Y.; Chen, H.; Jia, H.; Liu, P.; Xin, C. Fabrication and property of flexible macro fiber composites for vibration-based energy harvesting. Ceram. Int. 2023, 49, 14291–14301. [Google Scholar] [CrossRef]
  11. Bilgen, O.; Kochersberger, K.; Diggs, E.; Kurdila, A.; Inman, D. Morphing wing micro-air-vehicles via macro-fiber-composite tactuators. In Proceedings of the 48th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Honolulu, HI, USA, 23–26 April 2007; p. 1785. [Google Scholar]
  12. Bilgen, O.; Kochersberger, K.; Inman, D.J. Macro-fiber composite actuators for a swept wing unmanned aircraft. Aeronaut. J. 2009, 113, 385–395. [Google Scholar] [CrossRef]
  13. Kovalovs, A.; Barkanov, E.; Gluhihs, S. Active control of structures using macro-fiber composite (MFC). J. Phys. Conf. Ser. 2007, 93, 012034. [Google Scholar] [CrossRef]
  14. Soong, T.T.; Costantinou, M.C. Passive and Active Structural Vibration Control in Civil Engineering; Springer: Berlin/Heidelberg, Germany, 2014; Volume 345. [Google Scholar]
  15. Park, G.; Ruggiero, E.; Inman, D.J. Dynamic testing of inflatable structures using smart materials. Smart Mater. Struct. 2002, 11, 147. [Google Scholar] [CrossRef]
  16. Ibrahim, R. Recent advances in nonlinear passive vibration isolators. J. Sound Vib. 2008, 314, 371–452. [Google Scholar] [CrossRef]
  17. Ishida, Y. Recent development of the passive vibration control method. Mech. Syst. Signal Process. 2012, 29, 2–18. [Google Scholar] [CrossRef]
  18. Daley, S.; Johnson, F.; Pearson, J.; Dixon, R. Active vibration control for marine applications. Control Eng. Pract. 2004, 12, 465–474. [Google Scholar] [CrossRef]
  19. Bailey, T.; Hubbard, J.E., Jr. Distributed piezoelectric-polymer active vibration control of a cantilever beam. J. Guid. Control Dyn. 1985, 8, 605–611. [Google Scholar] [CrossRef]
  20. Jalili, N. A comparative study and analysis of semi-active vibration-control systems. J. Vib. Acoust. 2002, 124, 593–605. [Google Scholar] [CrossRef]
  21. Bala, A.; Gupta, S. Thermal resistivity, sound absorption and vibration damping of concrete composite doped with waste tire Rubber: A review. Constr. Build. Mater. 2021, 299, 123939. [Google Scholar] [CrossRef]
  22. Chandran, V.; Nagarajan, L.; Thomas, M.R. Evaluation of vibration damping behavior of different sizes of waste tyre rubber in natural rubber composites. J. Compos. Mater. 2018, 52, 2493–2501. [Google Scholar] [CrossRef]
  23. Cheng, L.; Liu, Y.; Cheng, Z.; Chen, R.; Zhang, S.; Liao, R.; Yuan, Y. A novel aging characterization method for silicone rubber based on terahertz absorption spectroscopy. Polym. Test. 2022, 115, 107723. [Google Scholar] [CrossRef]
  24. Huang, Y.; Zhou, D.; Xie, Y.; Yang, J.; Kong, J. Tunable sound absorption of silicone rubber materials via mesoporous silica. Rsc Adv. 2014, 4, 15171–15179. [Google Scholar] [CrossRef]
  25. Lee, J.-h.; Dong, Y.; Lee, M.G. Passive vibration reduction with silicone springs and dynamic absorber. Phys. Procedia 2011, 19, 431–435. [Google Scholar] [CrossRef]
  26. Peng, L.; Zhao, P.; Cheng, H.; He, Q.; Du, L. Improved low-frequency sound absorption of porous silicone rubber resonance sheet with periodic cavities. J. Low Freq. Noise Vib. Act. Control 2022, 41, 1151–1159. [Google Scholar] [CrossRef]
  27. Sujon, M.A.S.; Islam, A.; Nadimpalli, V.K. Damping and sound absorption properties of polymer matrix composites: A review. Polym. Test. 2021, 104, 107388. [Google Scholar] [CrossRef]
  28. Chakraborty, B.C.; Srinivasan, P. Vibration Damping by Polymers. In Smart Polymers: Basics and Applications; CRC Press: Boca Raton, FL, USA, 2022; p. 263. [Google Scholar]
  29. Gürgen, S.; Sofuoğlu, M.A. Smart polymer integrated cork composites for enhanced vibration damping properties. Compos. Struct. 2021, 258, 113200. [Google Scholar] [CrossRef]
  30. Huang, J.; Chen, A.; Liao, J.; Han, S.; Wu, Q.; Zhang, J.; Chen, Y.; Lin, X.; Guan, L. Physiological Sensing System Integrated with Vibration Sensor and Frequency Gel Dampers Inspired by Spider. Mater. Horiz. 2023. ahead of print. [Google Scholar] [CrossRef] [PubMed]
  31. Kari, L. Are single polymer network hydrogels with chemical and physical cross-links a promising dynamic vibration absorber material? a simulation model inquiry. Materials 2020, 13, 5127. [Google Scholar] [CrossRef] [PubMed]
  32. Sodano, H.A.; Park, G.; Inman, D.J. An investigation into the performance of macro-fiber composites for sensing and structural vibration applications. Mech. Syst. Signal Process. 2004, 18, 683–697. [Google Scholar] [CrossRef]
  33. Zhang, S.-Q.; Li, Y.-X.; Schmidt, R. Modeling and simulation of macro-fiber composite layered smart structures. Compos. Struct. 2015, 126, 89–100. [Google Scholar] [CrossRef]
  34. Wang, Q.; Zhou, J.; Xu, D.; Ouyang, H. Design and experimental investigation of ultra-low frequency vibration isolation during neonatal transport. Mech. Syst. Signal Process. 2020, 139, 106633. [Google Scholar] [CrossRef]
  35. Marouze, J.; Cheng, L. A feasibility study of active vibration isolation using THUNDER actuators. Smart Mater. Struct. 2002, 11, 854. [Google Scholar] [CrossRef]
  36. Sohn, J.; Kim, H.; Choi, S. Active vibration control of smart hull structures using piezoelectric actuators. Proc. Inst. Mech. Eng. Part C J. Mech. Eng. Sci. 2006, 220, 1329–1337. [Google Scholar] [CrossRef]
  37. Schröck, J.; Meurer, T.; Kugi, A. Control of a flexible beam actuated by macro-fiber composite patches: I. Modeling and feedforward trajectory control. Smart Mater. Struct. 2010, 20, 015015. [Google Scholar] [CrossRef]
Figure 1. Schematic of 3 coordinate systems for d31 type and d33 type.
Figure 1. Schematic of 3 coordinate systems for d31 type and d33 type.
Polymers 15 04672 g001
Figure 2. Structures of (a) AVC and (b) Passive gel.
Figure 2. Structures of (a) AVC and (b) Passive gel.
Polymers 15 04672 g002
Figure 3. System block diagram of AVC using MFC sensor and MFC actuator.
Figure 3. System block diagram of AVC using MFC sensor and MFC actuator.
Polymers 15 04672 g003
Figure 4. MFC sensing voltage of No AVC at different frequencies (a) 1 Hz, (b) 10 Hz, (c) 20 Hz, (d) 30 Hz, (e) 40 Hz, and (f) 50 Hz.
Figure 4. MFC sensing voltage of No AVC at different frequencies (a) 1 Hz, (b) 10 Hz, (c) 20 Hz, (d) 30 Hz, (e) 40 Hz, and (f) 50 Hz.
Polymers 15 04672 g004aPolymers 15 04672 g004bPolymers 15 04672 g004cPolymers 15 04672 g004d
Figure 5. Max sensing voltage of No AVC at frequency range 1 to 50 Hz.
Figure 5. Max sensing voltage of No AVC at frequency range 1 to 50 Hz.
Polymers 15 04672 g005
Figure 6. MFC sensing voltage of No AVC (0~10 s) and passive gel (10~20 s) at different frequencies (a) 1 Hz, (b) 10 Hz, (c) 20 Hz, (d) 30 Hz, (e) 40 Hz, and (f) 50 Hz.
Figure 6. MFC sensing voltage of No AVC (0~10 s) and passive gel (10~20 s) at different frequencies (a) 1 Hz, (b) 10 Hz, (c) 20 Hz, (d) 30 Hz, (e) 40 Hz, and (f) 50 Hz.
Polymers 15 04672 g006aPolymers 15 04672 g006bPolymers 15 04672 g006c
Figure 7. MFC sensing voltage of No AVC (0~10 s) and AVC (10~20 s) at different frequency (a) 1 Hz, (b) 10 Hz, (c) 20 Hz (d) 30 Hz, (e) 40 Hz, and (f) 50 Hz.
Figure 7. MFC sensing voltage of No AVC (0~10 s) and AVC (10~20 s) at different frequency (a) 1 Hz, (b) 10 Hz, (c) 20 Hz (d) 30 Hz, (e) 40 Hz, and (f) 50 Hz.
Polymers 15 04672 g007aPolymers 15 04672 g007bPolymers 15 04672 g007c
Figure 8. Comparison of Vibrations by Frequency: (a) Max Sensing Voltage, and (b) Vibration Ratio.
Figure 8. Comparison of Vibrations by Frequency: (a) Max Sensing Voltage, and (b) Vibration Ratio.
Polymers 15 04672 g008
Table 1. The Engineering properties of MFC d31 type.
Table 1. The Engineering properties of MFC d31 type.
Engineering PropertiesSymbolMFC d31 Type [2]
Young’s modulus [GPa]Y11 (fiber direction)30.3
Y33 (electrode direction)15.9
Shear modulus [GPa]G125.5
Piezoelectric constant
[pC/N or pm/V]
d31−0.017
Poisson’s ratio v 12 0.31
v 21 0.16
Density [g/ c m 3 ] ρ 0.544
Table 2. Vibration ratio of the AVC and passive gel.
Table 2. Vibration ratio of the AVC and passive gel.
Frequency [Hz]Vibration Ratio [V/V]
AVCPassive Gel
10.410.24
100.110.3
200.060.3
300.040.27
400.020.28
500.020.27
Table 3. Vibration ratio of the AVC and references.
Table 3. Vibration ratio of the AVC and references.
Vibration Ratio [V/V]
AVC[32][34][35]
0.110.30.220.37 *
*: Vibration ratio [m.s−2/m.s−2].
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

Kim, S.-U.; Kim, J.-Y. Comparative Performance Analysis of Inverse Phase Active Vibration Cancellation Using Macro Fiber Composite (MFC) and Vibration Absorption of Silicone Gel for Vibration Reduction. Polymers 2023, 15, 4672. https://doi.org/10.3390/polym15244672

AMA Style

Kim S-U, Kim J-Y. Comparative Performance Analysis of Inverse Phase Active Vibration Cancellation Using Macro Fiber Composite (MFC) and Vibration Absorption of Silicone Gel for Vibration Reduction. Polymers. 2023; 15(24):4672. https://doi.org/10.3390/polym15244672

Chicago/Turabian Style

Kim, Sang-Un, and Joo-Yong Kim. 2023. "Comparative Performance Analysis of Inverse Phase Active Vibration Cancellation Using Macro Fiber Composite (MFC) and Vibration Absorption of Silicone Gel for Vibration Reduction" Polymers 15, no. 24: 4672. https://doi.org/10.3390/polym15244672

APA Style

Kim, S. -U., & Kim, J. -Y. (2023). Comparative Performance Analysis of Inverse Phase Active Vibration Cancellation Using Macro Fiber Composite (MFC) and Vibration Absorption of Silicone Gel for Vibration Reduction. Polymers, 15(24), 4672. https://doi.org/10.3390/polym15244672

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