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Applied Sciences
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Flexible Piezoelectric Materials
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Flexible Piezoelectric Materials

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Materials Science and Engineering".

Deadline for manuscript submissions: closed (31 May 2020) | Viewed by 11859

Special Issue Editor

Prof. Dr. Youngsu Cha

E-Mail Website
Guest Editor
Center for Intelligent & Interactive Robotics, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea
Interests: smart materials; energy harvesting; flexible sensors and actuators; fluid-structure interactions; robotics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Flexible piezoelectric materials are emerging as an empowering tool for various fields including sensing, actuation, and energy harvesting. These materials display physical coupling between electrical and mechanical domains, while offering the important benefit of flexibility. These propitious features are useful for new applications in science and engineering, such as wearable devices, artificial skin, artificial muscles, and soft robots.

In this Special Issue, we are interested in flexible piezoelectric materials for state of the art applications. We hope that this Special Issue will be a seed for the new ambitious insight into the science and engineering of flexible piezoelectric materials. Exemplary material systems include polyvinylidene fluoride (PVDF), PVDF‐copolymer, macro fiber composite (MFC) and other materials with piezoelectric properties.

We invite your original research articles on recent technological advancements in flexible piezoelectric materials. Our scope includes experimental, theoretical, and computational approaches to flexible piezoelectric materials for new applications. 

Dr. Youngsu Cha
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • piezoelectrics
  • flexible sensors
  • flexible actuators
  • flexible energy harvester
  • wearable devices
  • artificial muscles
  • artificial skin
  • soft robotics

Published Papers (3 papers)

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Research

15 pages, 3832 KiB  
Article
Estimation of Hand Motion from Piezoelectric Soft Sensor Using Deep Recurrent Network
by Sung Hee Kim, Yongchan Kwon, KangGeon Kim and Youngsu Cha
Appl. Sci. 2020, 10(6), 2194; https://doi.org/10.3390/app10062194 - 24 Mar 2020
Cited by 11 | Viewed by 3912
Abstract
Soft sensors are attracting significant attention in human–machine interaction due to their high flexibility and adaptability. However, estimating motion state from these sensors is difficult due to their nonlinearity and noise. In this paper, we propose a deep learning network for a smart [...] Read more.
Soft sensors are attracting significant attention in human–machine interaction due to their high flexibility and adaptability. However, estimating motion state from these sensors is difficult due to their nonlinearity and noise. In this paper, we propose a deep learning network for a smart glove system to predict the moving state of a piezoelectric soft sensor. We implemented the network using Long-Short Term Memory (LSTM) units and demonstrated its performance in a real-time system based on two experiments. The sensor’s moving state was estimated and the joint angles were calculated. Since we use moving state in the sensor offset calculation and the offset value is used to estimate the angle value, the accurate moving state estimation results in good performance for angle value estimation. The proposed network performed better than the conventional heuristic method in estimating the moving state. It was also confirmed that the calculated values successfully mimic the joint angles measured using a leap motion controller. Full article
(This article belongs to the Special Issue Flexible Piezoelectric Materials)
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10 pages, 4188 KiB  
Article
Flexible Shear and Normal Force Sensor Using only One Layer of Polyvinylidene Fluoride Film
by Ye Rim Lee, Jaehoon Chung, Yonghwan Oh and Youngsu Cha
Appl. Sci. 2019, 9(20), 4339; https://doi.org/10.3390/app9204339 - 15 Oct 2019
Cited by 12 | Viewed by 3912
Abstract
We have proposed a flexible sensor that can sense shear and normal forces, and can be fabricated through a simple process using only one layer of polyvinylidene fluoride (PVDF) film. For the measurement of shear and normal forces, one layer of PVDF film [...] Read more.
We have proposed a flexible sensor that can sense shear and normal forces, and can be fabricated through a simple process using only one layer of polyvinylidene fluoride (PVDF) film. For the measurement of shear and normal forces, one layer of PVDF film was sealed in a three-dimensionally structured polydimethylsiloxane (PDMS). In the structure, the sensor produced voltage signals corresponding to the shear and normal forces. Using this property, we aimed to demonstrate how to sense the magnitude and direction of the force applied to the sensor from its output voltages. Furthermore, the proposed sensor with a 2 × 2 array was able to measure the applied force in real time. Full article
(This article belongs to the Special Issue Flexible Piezoelectric Materials)
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16 pages, 5510 KiB  
Article
Modeling on Actuation Behavior of Macro-Fiber Composite Laminated Structures Based on Sinusoidal Shear Deformation Theory
by Jiarui Zhang, Jianwei Tu, Zhao Li, Kui Gao and Hua Xie
Appl. Sci. 2019, 9(14), 2893; https://doi.org/10.3390/app9142893 - 19 Jul 2019
Cited by 6 | Viewed by 2985
Abstract
A new piezoelectric composite, macro fiber composite (MFC) is recombined with piezoceramic fibers, an epoxy resin basal body, and an interdigitated electrode. It has been widely applied in vibration reduction and deformation control of thin-walled structures, due to its great deformability and flexibility. [...] Read more.
A new piezoelectric composite, macro fiber composite (MFC) is recombined with piezoceramic fibers, an epoxy resin basal body, and an interdigitated electrode. It has been widely applied in vibration reduction and deformation control of thin-walled structures, due to its great deformability and flexibility. Research on its actuation performance is mostly concentrated on the MFC actuating force calculation based on classical plate theory (CPT), and the overall modeling of MFC and its structure. However, they have some deficiencies in the tedious calculating process and neglect of shear deformation, respectively. To obtain a precise MFC actuating force, the sinusoidal shear deformation theory (SSDT) is adopted to deduce the MFC actuating force formula, and global–local displacement distribution functions are introduced to help the MFC laminated plate structure satisfy the deformation compatibility and stress balance. For instance, in the end displacement calculation of the MFC laminated beam structure. The experimental result of the MFC laminated beam is compared with those of the MFC actuating force based on SSDT and on CPT, which indicates that the MFC actuating force formula based on SSDT can reach higher computational accuracy. Full article
(This article belongs to the Special Issue Flexible Piezoelectric Materials)
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