• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于STM32高速采样的数字涡流检测方法

Digital Eddy Current Detection Method Based on High-Speed Sampling with STM32.

作者信息

Cao Xiong, Li Erlong, Yuan Zilan, Zheng Kaituo

机构信息

School of Mechanical Engineering, Sichuan University, Chengdu 610065, China.

出版信息

Micromachines (Basel). 2024 Jun 11;15(6):775. doi: 10.3390/mi15060775.

DOI:10.3390/mi15060775
PMID:38930745
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11205327/
Abstract

The electromagnetic eddy current non-destructive testing system enables the non-destructive analysis of surface defect information on tested materials. Based on the principles of eddy current detection, this paper presents a digital eddy current detection method using high-speed sampling based on STM32. A differential eddy current coil is used as the detection probe, and the combination of a differential bridge and a differential amplifier circuit helps to reduce common-mode noise interference. The detection signal is collected via an STM32-based acquisition circuit and transmitted to the host computer through Ethernet for digital demodulation processing. The host computer performs operations such as smoothing averaging, sinusoidal fitting, and outlier removal to extract the amplitude and phase of the detection signal. The system also visually displays the condition of the tested object's surface in real time through graphical visualization. Testing showed that this system can operate at frequencies up to 8.84 MHz and clearly identify defects as narrow as 1 mm on the surface of the tested steel plate.

摘要

电磁涡流无损检测系统能够对被检测材料的表面缺陷信息进行无损分析。基于涡流检测原理,本文提出了一种基于STM32的高速采样数字涡流检测方法。采用差分涡流线圈作为检测探头,差分电桥与差分放大电路相结合有助于降低共模噪声干扰。检测信号通过基于STM32的采集电路进行采集,并通过以太网传输到主机进行数字解调处理。主机进行平滑平均、正弦拟合和异常值去除等操作,以提取检测信号的幅度和相位。该系统还通过图形可视化实时直观地显示被检测物体表面的状况。测试表明,该系统能够在高达8.84 MHz的频率下运行,并能清晰地识别被测钢板表面窄至1 mm的缺陷。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12a7/11205327/a229218498fc/micromachines-15-00775-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12a7/11205327/590382fec05c/micromachines-15-00775-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12a7/11205327/0b5af258dfa2/micromachines-15-00775-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12a7/11205327/a229218498fc/micromachines-15-00775-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12a7/11205327/590382fec05c/micromachines-15-00775-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12a7/11205327/0b5af258dfa2/micromachines-15-00775-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12a7/11205327/a229218498fc/micromachines-15-00775-g014.jpg

相似文献

1
Digital Eddy Current Detection Method Based on High-Speed Sampling with STM32.基于STM32高速采样的数字涡流检测方法
Micromachines (Basel). 2024 Jun 11;15(6):775. doi: 10.3390/mi15060775.
2
Wide Temperature Range and Low Temperature Drift Eddy Current Displacement Sensor Using Digital Correlation Demodulation.采用数字相关解调的宽温度范围和低温漂移电涡流位移传感器。
Sensors (Basel). 2023 May 19;23(10):4895. doi: 10.3390/s23104895.
3
Eddy Current Rail Inspection Using AC Bridge Techniques.采用交流电桥技术的涡流钢轨检测
J Res Natl Inst Stand Technol. 2013 Feb 26;118:140-9. doi: 10.6028/jres.118.007. eCollection 2013.
4
Progress in Evaluation of Deep Artificial Defects from Sweep-Frequency Eddy-Current Testing Signals.基于扫频涡流检测信号评估深度人工缺陷的研究进展
Sensors (Basel). 2023 Jul 1;23(13):6085. doi: 10.3390/s23136085.
5
Non-Destructive Testing of Carbon Fiber-Reinforced Plastics (CFRPs) Using a Resonant Eddy Current Sensor.使用共振涡流传感器对碳纤维增强塑料(CFRP)进行无损检测。
Sensors (Basel). 2024 May 27;24(11):3449. doi: 10.3390/s24113449.
6
Resonant frequency tracking mode on eddy current pulsed thermography non-destructive testing.涡流脉冲热成像无损检测中的共振频率跟踪模式
Philos Trans A Math Phys Eng Sci. 2020 Oct 16;378(2182):20190607. doi: 10.1098/rsta.2019.0607. Epub 2020 Sep 14.
7
Rotating Focused Field Eddy-Current Sensing for Arbitrary Orientation Defects Detection in Carbon Steel.旋转聚焦场涡流传感用于碳钢中任意取向缺陷检测
Sensors (Basel). 2020 Apr 20;20(8):2345. doi: 10.3390/s20082345.
8
Incremental Encoder Speed Acquisition Using an STM32 Microcontroller and NI ELVIS.使用 STM32 微控制器和 NI ELVIS 实现增量编码器速度采集。
Sensors (Basel). 2022 Jul 8;22(14):5127. doi: 10.3390/s22145127.
9
Research on Detection Mechanism of Weld Defects of Carbon Steel Plate Based on Orthogonal Axial Eddy Current Probe.基于正交轴向涡流探头的碳钢焊缝缺陷检测机制研究
Sensors (Basel). 2020 Sep 26;20(19):5515. doi: 10.3390/s20195515.
10
Comparison of Inspecting Non-Ferromagnetic and Ferromagnetic Metals Using Velocity Induced Eddy Current Probe.使用速度感应涡流探头检测非铁磁性和铁磁性金属的比较。
Sensors (Basel). 2018 Sep 21;18(10):3199. doi: 10.3390/s18103199.

本文引用的文献

1
Single-Ended Eddy Current Micro-Displacement Sensor with High Precision Based on Temperature Compensation.基于温度补偿的高精度单端涡流微位移传感器
Micromachines (Basel). 2024 Mar 7;15(3):366. doi: 10.3390/mi15030366.
2
Non-Destructive Testing of Carbon Fibre Reinforced Plastics (CFRP) Using a Dual Transmitter-Receiver Differential Eddy Current Test Probe.使用双发射-接收差分涡流测试探头对碳纤维增强塑料(CFRP)进行无损检测。
Sensors (Basel). 2022 Sep 7;22(18):6761. doi: 10.3390/s22186761.
3
Eddy Current Testing with Giant Magnetoresistance (GMR) Sensors and a Pipe-Encircling Excitation for Evaluation of Corrosion under Insulation.
采用巨磁电阻(GMR)传感器和管道环绕式激励进行涡流检测以评估绝缘层下的腐蚀情况。
Sensors (Basel). 2017 Sep 28;17(10):2229. doi: 10.3390/s17102229.
4
Giant Magnetoresistance Sensors: A Review on Structures and Non-Destructive Eddy Current Testing Applications.巨磁阻传感器:结构与无损涡流检测应用综述
Sensors (Basel). 2016 Feb 26;16(3):298. doi: 10.3390/s16030298.
5
Eddy Current Rail Inspection Using AC Bridge Techniques.采用交流电桥技术的涡流钢轨检测
J Res Natl Inst Stand Technol. 2013 Feb 26;118:140-9. doi: 10.6028/jres.118.007. eCollection 2013.
6
Non-destructive techniques based on eddy current testing.基于涡流检测的无损检测技术。
Sensors (Basel). 2011;11(3):2525-65. doi: 10.3390/s110302525. Epub 2011 Feb 28.
7
Analytical metrological characterization of the three-parameter sine fit algorithm.三参数正弦拟合法的分析计量学特征描述。
ISA Trans. 2012 Mar;51(2):262-70. doi: 10.1016/j.isatra.2011.10.003. Epub 2011 Nov 1.