用于管道污染物多参数检测的集成微机械柔性超声感应传感器。

IF 7.3 1区 工程技术 Q1 INSTRUMENTS & INSTRUMENTATION Microsystems & Nanoengineering Pub Date : 2024-08-16 eCollection Date: 2024-01-01 DOI:10.1038/s41378-024-00734-0
Zheng Yuan, Xiaoyu Wu, Zhikang Li, Jiawei Yuan, Yihe Zhao, Zixuan Li, Shaohui Qin, Qi Ma, Xuan Shi, Zilong Zhao, Jiazhu Li, Shiwang Zhang, Weixuan Jing, Xiaozhang Wang, Libo Zhao
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引用次数: 0

摘要

管道污染物检测在航空、航海、医疗和其他相关领域等各行各业都具有相当重要的意义。这种能力有利于预测设备的潜在故障、确定运行状况、及时维护和预测使用寿命。然而,大多数现有方法都是离线操作,在线检测参数相对单一。这种限制阻碍了实时现场检测和设备状态综合评估。为应对这些挑战,本文提出了一种集成超声波单元和电磁感应单元的传感方法,用于实时检测管道内的各种污染物和流速。超声波单元包括一个通过微机械加工技术制造的柔性换能器贴片,不仅便于安装,还能聚焦声场。此外,传感装置还包含三个对称的电磁线圈。通过对超声波和感应信号的综合分析,所提出的方法可用于有效区分磁性金属颗粒(如铁)、非磁性金属颗粒(如铜)、非金属颗粒(如陶瓷)和气泡。这种包容性的分类几乎涵盖了管道中可能存在的所有污染物类型。此外,还可通过超声多普勒频移确定流体速度。数学模型和有限元模拟验证了所提出的检测原理的有效性。在直径为 14 毫米的管道内,对各种不同速度的污染物进行了系统测试。实验结果表明,所提出的传感器能有效检测 0.5-3 毫米范围内的污染物,准确区分污染物类型,并测量流速。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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An integrated micromachined flexible ultrasonic-inductive sensor for pipe contaminant multiparameter detection.

Pipe contaminant detection holds considerable importance within various industries, such as the aviation, maritime, medicine, and other pertinent fields. This capability is beneficial for forecasting equipment potential failures, ascertaining operational situations, timely maintenance, and lifespan prediction. However, the majority of existing methods operate offline, and the detectable parameters online are relatively singular. This constraint hampers real-time on-site detection and comprehensive assessments of equipment status. To address these challenges, this paper proposes a sensing method that integrates an ultrasonic unit and an electromagnetic inductive unit for the real-time detection of diverse contaminants and flow rates within a pipeline. The ultrasonic unit comprises a flexible transducer patch fabricated through micromachining technology, which can not only make installation easier but also focus the sound field. Moreover, the sensing unit incorporates three symmetrical solenoid coils. Through a comprehensive analysis of ultrasonic and induction signals, the proposed method can be used to effectively discriminate magnetic metal particles (e.g., iron), nonmagnetic metal particles (e.g., copper), nonmetallic particles (e.g., ceramics), and bubbles. This inclusive categorization encompasses nearly all types of contaminants that may be present in a pipeline. Furthermore, the fluid velocity can be determined through the ultrasonic Doppler frequency shift. The efficacy of the proposed detection principle has been validated by mathematical models and finite element simulations. Various contaminants with diverse velocities were systematically tested within a 14 mm diameter pipe. The experimental results demonstrate that the proposed sensor can effectively detect contaminants within the 0.5-3 mm range, accurately distinguish contaminant types, and measure flow velocity.

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来源期刊
Microsystems & Nanoengineering
Microsystems & Nanoengineering Materials Science-Materials Science (miscellaneous)
CiteScore
12.00
自引率
3.80%
发文量
123
审稿时长
20 weeks
期刊介绍: Microsystems & Nanoengineering is a comprehensive online journal that focuses on the field of Micro and Nano Electro Mechanical Systems (MEMS and NEMS). It provides a platform for researchers to share their original research findings and review articles in this area. The journal covers a wide range of topics, from fundamental research to practical applications. Published by Springer Nature, in collaboration with the Aerospace Information Research Institute, Chinese Academy of Sciences, and with the support of the State Key Laboratory of Transducer Technology, it is an esteemed publication in the field. As an open access journal, it offers free access to its content, allowing readers from around the world to benefit from the latest developments in MEMS and NEMS.
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