Acoustic emission monitoring of composite marine propellers in submerged conditions using embedded piezoelectric sensors

IF 3.7 3区 材料科学 Q1 INSTRUMENTS & INSTRUMENTATION Smart Materials and Structures Pub Date : 2024-07-24 DOI:10.1088/1361-665x/ad6739
Arnaud Huijer, Christos Kassapoglou, L. Pahlavan
{"title":"Acoustic emission monitoring of composite marine propellers in submerged conditions using embedded piezoelectric sensors","authors":"Arnaud Huijer, Christos Kassapoglou, L. Pahlavan","doi":"10.1088/1361-665x/ad6739","DOIUrl":null,"url":null,"abstract":"\n Flexible composite marine propellers can aid the marine industry in reducing carbon emissions and underwater radiated noise pollution. The structural integrity of the blades can be assessed using structural health monitoring. One of these methods is the measurement and analysis of damage-induced acoustic emission signals. This paper experimentally investigates the feasibility of using embedded piezoelectric sensors for the measurement of acoustic emissions throughout a submerged flexible composite marine propeller blade. A full-scale glass-fibre reinforced polymer blade has been manufactured with 24 embedded sensors. While suspended in artificial seawater, acoustic emissions were simulated on the blade. The measurements show that the embedded piezoelectric sensors can measure acoustic emissions while the blade is submerged. Further, the distance from source to sensor over which the acoustic emission is measurable was investigated. For a noise level of 40dB and a source amplitude of 70dB between 100-250kHz, an average maximum measurable distance of 124mm was obtained. For higher frequencies, the distance drops and for lower noise levels the distance increases.","PeriodicalId":21656,"journal":{"name":"Smart Materials and Structures","volume":null,"pages":null},"PeriodicalIF":3.7000,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Smart Materials and Structures","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1088/1361-665x/ad6739","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INSTRUMENTS & INSTRUMENTATION","Score":null,"Total":0}
引用次数: 0

Abstract

Flexible composite marine propellers can aid the marine industry in reducing carbon emissions and underwater radiated noise pollution. The structural integrity of the blades can be assessed using structural health monitoring. One of these methods is the measurement and analysis of damage-induced acoustic emission signals. This paper experimentally investigates the feasibility of using embedded piezoelectric sensors for the measurement of acoustic emissions throughout a submerged flexible composite marine propeller blade. A full-scale glass-fibre reinforced polymer blade has been manufactured with 24 embedded sensors. While suspended in artificial seawater, acoustic emissions were simulated on the blade. The measurements show that the embedded piezoelectric sensors can measure acoustic emissions while the blade is submerged. Further, the distance from source to sensor over which the acoustic emission is measurable was investigated. For a noise level of 40dB and a source amplitude of 70dB between 100-250kHz, an average maximum measurable distance of 124mm was obtained. For higher frequencies, the distance drops and for lower noise levels the distance increases.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
使用嵌入式压电传感器监测水下条件下复合材料船用螺旋桨的声发射
柔性复合材料船用螺旋桨可帮助船舶业减少碳排放和水下辐射噪声污染。叶片的结构完整性可通过结构健康监测进行评估。其中一种方法是测量和分析损坏引起的声发射信号。本文通过实验研究了使用嵌入式压电传感器测量整个水下柔性复合材料船用螺旋桨叶片声发射的可行性。我们制造了一个全尺寸的玻璃纤维增强聚合物叶片,其中嵌入了 24 个传感器。在人工海水中悬浮时,对叶片上的声发射进行了模拟。测量结果表明,嵌入式压电传感器可以在叶片浸没时测量声发射。此外,还研究了可测量声发射的声源到传感器的距离。在 100-250 千赫之间,噪声水平为 40 分贝,声源振幅为 70 分贝时,平均最大可测量距离为 124 毫米。频率越高,距离越短,噪声越低,距离越长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Smart Materials and Structures
Smart Materials and Structures 工程技术-材料科学:综合
CiteScore
7.50
自引率
12.20%
发文量
317
审稿时长
3 months
期刊介绍: Smart Materials and Structures (SMS) is a multi-disciplinary engineering journal that explores the creation and utilization of novel forms of transduction. It is a leading journal in the area of smart materials and structures, publishing the most important results from different regions of the world, largely from Asia, Europe and North America. The results may be as disparate as the development of new materials and active composite systems, derived using theoretical predictions to complex structural systems, which generate new capabilities by incorporating enabling new smart material transducers. The theoretical predictions are usually accompanied with experimental verification, characterizing the performance of new structures and devices. These systems are examined from the nanoscale to the macroscopic. SMS has a Board of Associate Editors who are specialists in a multitude of areas, ensuring that reviews are fast, fair and performed by experts in all sub-disciplines of smart materials, systems and structures. A smart material is defined as any material that is capable of being controlled such that its response and properties change under a stimulus. A smart structure or system is capable of reacting to stimuli or the environment in a prescribed manner. SMS is committed to understanding, expanding and dissemination of knowledge in this subject matter.
期刊最新文献
Nonlinear vibration of a loaded string in energy harvesting Three-dimensional free-standing heterostructures out of MoS2 and rGO with infused PDMS towards electromechanical pressure sensing An IGBT coupling structure with a smart service life reliability predictor using active learning Shape optimization of a non-uniform piezoelectric bending beam for human knee energy harvester A frequency steerable electromagnetic acoustic transducer
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1