IET Nanodielectrics最新文献_第7页

Thermal stability of piezoelectricity in polylactide polymers and related piezoelectric minimotor application 聚丙交酯聚合物中压电的热稳定性及相关的压电微型电机应用

IF 2.7

IET Nanodielectrics Pub Date : 2022-11-09 DOI: 10.1049/nde2.12038

Jinxi Zhang, Yonggui Wang, Junyuan Tian, Xiangchen Xu, Weidong Wang, Kailiang Ren

{"title":"Thermal stability of piezoelectricity in polylactide polymers and related piezoelectric minimotor application","authors":"Jinxi Zhang, Yonggui Wang, Junyuan Tian, Xiangchen Xu, Weidong Wang, Kailiang Ren","doi":"10.1049/nde2.12038","DOIUrl":"10.1049/nde2.12038","url":null,"abstract":"Piezoelectric polymers have been widely used in a variety of applications, including tactile sensors, energy harvesting, polymer actuators, and biological devices. In this investigation, we fabricated the PLLA (poly(L-lactic Acid)-based bimorph structures for piezoelectric motor applications. First, a strain measurement setup was established to measure the strain of the PLLA and PDLA film at different temperatures. The effective piezoelectric constants d14 calculated for the PLLA and PDLA films were 10.2 pC/N and 9.4 pC/N, respectively. Furthermore, the PLLA films showed a strong thermostability of piezoelectricity at 130°C. The PLLA bimorph minimotor showed the maximum load of 1.2 g and the maximum torque of 0.019 cN·m. The minimotors were capable of rotating a plastic hemisphere container in the clockwise and counterclockwise directions at 65 V voltage. Due to the light weight, low driving voltage, and thermal stability, the PLLA/PDLA motors show a great promise in future Braille display, robots, and mini-digital camera applications.","PeriodicalId":36855,"journal":{"name":"IET Nanodielectrics","volume":"5 3-4","pages":"132-138"},"PeriodicalIF":2.7,"publicationDate":"2022-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/nde2.12038","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43881955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Ferroelectrets: Recent developments 铁驻极体：最新发展

IF 2.7

IET Nanodielectrics Pub Date : 2022-09-10 DOI: 10.1049/nde2.12036

Xunlin Qiu, Yuqing Bian, Jiawen Liu, Yanxun Xiang, Taotao Ding, Wujun Zhu, Fu-Zhen Xuan

{"title":"Ferroelectrets: Recent developments","authors":"Xunlin Qiu, Yuqing Bian, Jiawen Liu, Yanxun Xiang, Taotao Ding, Wujun Zhu, Fu-Zhen Xuan","doi":"10.1049/nde2.12036","DOIUrl":"10.1049/nde2.12036","url":null,"abstract":"Ferroelectrets (also called piezoelectrets) are relatively young members in the family of piezo-, pyro- and ferroelectric materials. They exhibit ferroic behaviour phenomenologically undistinguishable from that of traditional ferroelectrics, although the materials per se are essentially non-polar space-charge electrets with artificial macroscopic dipoles (i.e. internally charged cavities). Since ferroelectrets not only represent a scientific curiosity but also have great application potential, they have attracted tremendous attention from science and industry. The research and development of ferroelectrets has witnessed significant progress in the past few years. New ferroelectrets with large transverse piezoelectric activity, biodegradable ferroelectrets as well as 3-D printed ferroelectrets are reported. Charging methods of high efficiency are proposed based on better understanding of the physico-chemical processes during charging. New insights into the piezoelectricity of ferroelectrets are provided. The development of ferroelectret-based piezoelectric-magnetic multimodal transducer films opens up new avenues for the research of ferroelectrets. Particularly, more and more novel applications of ferroelectrets in flexible pressure sensors, health monitoring, energy harvesting, air-coupled ultrasonic non-destructive testing etc. are reported. Here, these exciting recent advancements in the field of ferroelectret research are reviewed and discussed.","PeriodicalId":36855,"journal":{"name":"IET Nanodielectrics","volume":"5 3-4","pages":"113-124"},"PeriodicalIF":2.7,"publicationDate":"2022-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/nde2.12036","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49606123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Preparation and properties of different dielectric films with Al metal electrode 不同Al金属电极介质膜的制备及性能研究

IF 2.7

IET Nanodielectrics Pub Date : 2022-09-01 DOI: 10.1049/nde2.12037

Qi Dong, Shao-Long Zhong, Qi-Kun Feng, Ming-Sheng Zheng, Jiang-Bo Ping, Zhi-Min Dang

引用次数: 2

Sandwich-structured PPy-TiO2/PVDF composite films with outstanding dielectric properties and energy density 具有优异介电性能和能量密度的夹层结构PPy - tio2 /PVDF复合薄膜

IF 2.7

IET Nanodielectrics Pub Date : 2022-04-01 DOI: 10.1049/nde2.12031

Jinyue Qiu, Ling Weng, Xiaorui Zhang, Yu Su

引用次数: 8

Fabrication and actuation characterisation of a new UV curing acrylic dielectric elastomer 一种新型紫外光固化丙烯酸介电弹性体的制备及其致动特性

IF 2.7

IET Nanodielectrics Pub Date : 2022-03-12 DOI: 10.1049/nde2.12035

Wen-Zhuo Dong, Yu Zhao, Li-Juan Yin, Zhi-Min Dang

引用次数: 5

Identification of nanocomposites agglomerates in scanning electron microscopy images based on semantic segmentation 基于语义分割的扫描电镜图像中纳米复合材料团聚体识别

IF 2.7

IET Nanodielectrics Pub Date : 2022-03-04 DOI: 10.1049/nde2.12034

Yu Bai, Yan Wang, Dayuan Qiang, Xin Yuan, Jiehui Wu, Weilong Chen, Sai Zhang, Yanru Zhang, George Chen

{"title":"Identification of nanocomposites agglomerates in scanning electron microscopy images based on semantic segmentation","authors":"Yu Bai, Yan Wang, Dayuan Qiang, Xin Yuan, Jiehui Wu, Weilong Chen, Sai Zhang, Yanru Zhang, George Chen","doi":"10.1049/nde2.12034","DOIUrl":"10.1049/nde2.12034","url":null,"abstract":"The agglomeration causes a significant challenge to nanodielectrics. Identification of agglomerates in scanning electron microscopy (SEM) images is an important step of solving this issue. Motivated by the fast development of image recognition in computer vision, we propose a new approach for agglomerates identification in SEM images of nanodielectrics by semantic segmentation, which is more efficient and accurate than traditional methods. Three models based on convolutional neural networks are investigated in this work, namely pixel blocks classification network, full convolutional segmentation network employed with data augmentation and unsupervised self-encoding network. All three networks can preliminarily identify agglomerates of spherical silica-based blend polyethylene nanocomposites. The mean intersection over union (mIoU) of pixel blocks classification network is 0.843 and it takes 25 s to process an image. Full convolutional segmentation network only needs 0.059 s to process a sample, with a mIoU of 0.777. Unsupervised self-encoding network can reach a mIoU of 0.747 at a speed of 5.806 s. According to the amount of data sets, and requirements for different speed and accuracy, three kinds of networks can be flexibly selected.","PeriodicalId":36855,"journal":{"name":"IET Nanodielectrics","volume":"5 2","pages":"93-103"},"PeriodicalIF":2.7,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/nde2.12034","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45920131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A review on the research progress and future development of nano-modified cellulose insulation paper 综述了纳米改性纤维素绝缘纸的研究进展及发展前景

IF 2.7

IET Nanodielectrics Pub Date : 2021-12-21 DOI: 10.1049/nde2.12032

Chao Tang, Rui Chen, Jinzhu Zhang, Xiao Peng, Binghao Chen, Liusheng Zhang

引用次数: 0

Guest Editorial: Biological nanodielectrics 客座编辑：生物纳米电介质

IF 2.7

IET Nanodielectrics Pub Date : 2021-12-01 DOI: 10.1049/nde2.12033

U. Reibetanz

引用次数: 0

Enhanced electromechanical performance of natural rubber dielectric elastomers achieved by in situ synthesis of silver nanoparticles on TiO2 nanoparticles 通过在二氧化钛纳米粒子上原位合成纳米银，提高了天然橡胶介电弹性体的机电性能

IF 2.7

IET Nanodielectrics Pub Date : 2021-11-17 DOI: 10.1049/nde2.12030

Liyuan Yu, Tingting Hu, Dan Yang, Qungui Wei

{"title":"Enhanced electromechanical performance of natural rubber dielectric elastomers achieved by in situ synthesis of silver nanoparticles on TiO2 nanoparticles","authors":"Liyuan Yu, Tingting Hu, Dan Yang, Qungui Wei","doi":"10.1049/nde2.12030","DOIUrl":"10.1049/nde2.12030","url":null,"abstract":"Dielectric elastomers (DEs) could transduce electrical energy to mechanical energy, but their applications are currently limited by the elevated driving voltages. To obtain satisfactory actuated strains at low voltages, titanate oxide@tannic acid-ferric ion@silver (labelled as TiO2@TA-Fe3+@Ag) satellite-structure nanoparticles were obtained in this study by in situ synthesis followed by incorporating the nanoparticles into natural rubber (NR) to prepare DE composites (denoted as TiO2@TA-Fe3+@Ag/NR). The presence of surface coating of TA-Fe3+ and Ag nanoparticles improved the electromechanical performance of TiO2@TA-Fe3+@Ag/NR composites. Among the samples, 30 wt% TiO2@TA-Fe3+@Ag/NR composite displayed a relatively high actuated strain of 9.09% at a relatively low electric field of 22.78 kV/mm. In sum, the green, facile, and cost-effective surface modification method looks promising for improving the electromechanical properties of particulate-filled polymer composites.","PeriodicalId":36855,"journal":{"name":"IET Nanodielectrics","volume":"5 1","pages":"39-49"},"PeriodicalIF":2.7,"publicationDate":"2021-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/nde2.12030","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48734028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Review of machine learning-driven design of polymer-based dielectrics 聚合物基电介质的机器学习驱动设计综述

IF 2.7

IET Nanodielectrics Pub Date : 2021-11-02 DOI: 10.1049/nde2.12029

Ming-Xiao Zhu, Ting Deng, Lei Dong, Ji-Ming Chen, Zhi-Min Dang

{"title":"Review of machine learning-driven design of polymer-based dielectrics","authors":"Ming-Xiao Zhu, Ting Deng, Lei Dong, Ji-Ming Chen, Zhi-Min Dang","doi":"10.1049/nde2.12029","DOIUrl":"10.1049/nde2.12029","url":null,"abstract":"Polymer-based dielectrics are extensively applied in various electrical and electronic devices such as capacitors, power transmission cables and microchips, in which a variety of distinct performances such as the dielectric and thermal properties are desired. To fulfil these properties, the emerging machine learning (ML) technique has been used to establish a surrogate model for the structure–property linkage analysis, which provides an effective tool for the rational design of the chemical and morphological structure of polymers/nanocomposites. In this article, the authors reviewed the recent progress in the ML algorithms and their applications in the rational design of polymer-based dielectrics. The main routes for collecting training data including online libraries, experiments and high-throughput computations are first summarized. The fingerprints charactering the microstructures of polymers/nanocomposites are presented, followed by the illustration of ML models to establish a mapping between the fingerprinted input and the target properties. Further, inverse design methods such as evolution searching strategies and generative models are described, which are exploited to accelerate the discovery of new polymer-based dielectrics. Moreover, structure–property linkage analysis techniques such as Pearson correlation calculation, decision-tree-based methods and interpretable neural networks are summarized to identify the key features affecting the target properties. The future development prospects of the ML-driven design method for polymer-based dielectrics are also presented in this review.","PeriodicalId":36855,"journal":{"name":"IET Nanodielectrics","volume":"5 1","pages":"24-38"},"PeriodicalIF":2.7,"publicationDate":"2021-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/nde2.12029","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42329300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 15