CN102759565B - A kind of steel band in length and breadth to defects detection and identify leakage magnetic detection device and method - Google Patents
A kind of steel band in length and breadth to defects detection and identify leakage magnetic detection device and method Download PDFInfo
- Publication number
- CN102759565B CN102759565B CN201210247360.2A CN201210247360A CN102759565B CN 102759565 B CN102759565 B CN 102759565B CN 201210247360 A CN201210247360 A CN 201210247360A CN 102759565 B CN102759565 B CN 102759565B
- Authority
- CN
- China
- Prior art keywords
- steel strip
- defect
- longitudinal
- defects
- transverse
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
- 230000007547 defect Effects 0.000 title claims abstract description 99
- 229910000831 Steel Inorganic materials 0.000 title claims abstract description 74
- 239000010959 steel Substances 0.000 title claims abstract description 74
- 230000005291 magnetic effect Effects 0.000 title claims abstract description 73
- 238000001514 detection method Methods 0.000 title claims abstract description 55
- 238000000034 method Methods 0.000 title claims abstract description 23
- 230000005415 magnetization Effects 0.000 claims abstract description 26
- 238000006243 chemical reaction Methods 0.000 claims abstract description 8
- 230000004907 flux Effects 0.000 claims description 17
- 230000008569 process Effects 0.000 claims description 5
- 230000003750 conditioning effect Effects 0.000 abstract description 7
- 229920006395 saturated elastomer Polymers 0.000 abstract 1
- 238000007689 inspection Methods 0.000 description 10
- 230000035945 sensitivity Effects 0.000 description 6
- 239000000463 material Substances 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000005294 ferromagnetic effect Effects 0.000 description 2
- 230000000149 penetrating effect Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 230000001066 destructive effect Effects 0.000 description 1
- 230000005674 electromagnetic induction Effects 0.000 description 1
- 239000003302 ferromagnetic material Substances 0.000 description 1
- 239000012467 final product Substances 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 230000006698 induction Effects 0.000 description 1
- 239000000696 magnetic material Substances 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000009659 non-destructive testing Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
- 239000000047 product Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000011179 visual inspection Methods 0.000 description 1
Landscapes
- Investigating Or Analyzing Materials By The Use Of Magnetic Means (AREA)
Abstract
Description
技术领域 technical field
本发明涉及无损检测技术领域，尤其涉及一种钢带纵横向缺陷检测并识别的漏磁检测装置及方法。 The invention relates to the technical field of nondestructive testing, in particular to a magnetic flux leakage testing device and method for detecting and identifying longitudinal and transverse defects of steel strips.
背景技术 Background technique
钢带在机械制造、石油化工、航空航天等工业中有广泛的应用，其产品质量将直接影响最终产品的性能和质量。目前在国内外各大钢厂已广泛使用钢带在线质量检测系统，主要有涡流检测、红外检测、机器视觉检测和漏磁检测等。其中，涡流检测方法是利用电磁感应原理在钢带中建立涡流场，钢带表面或近表面的缺陷影响涡流的强度和分布，测量检测线圈的阻抗变化可知缺陷的存在，但该方法只能检测表面和近表面缺陷。红外检测方法利用高频感应加热原理使钢带局部升温，缺陷处消耗更多电能而使其温度高于其它部分，利用红外扫描器获取缺陷的信号，但这种方法也不能检测内部缺陷，且只用于某些要求不高的场合。机器视觉检测方法是利用表面缺陷与无缺陷处之间的光学特性存在着明显差异的原理，对钢带实施无损检测，有广泛应用，典型的检测方法有：使用激光扫描检测，使用线阵或面阵电荷耦合摄像装置扫描检测，如杨水山著“带钢视觉检测系统的研究现状及展望”（冶金自动化，2008,32(2):5-9），但机器视觉检测技术存在的主要问题是：成本高，维护代价大，对信噪低、对比度低的缺陷分辨能力不足，仅检测表面缺陷，数据处理要求高。另外漏磁检测技术在铁磁性构件的检测中有广泛的应用，该方法检测灵敏度高。目前为发现铁磁性构件的纵、横向缺陷，通常使用周向磁化和纵向磁化两套装置，如康宜华著“多规格油套管漏磁检测方法研究”（钢管，2007,36(1):17-20），却增加了检测系统的造价和复杂性。中国专利文献公开了一种“磁探伤装置的漏磁检测传感器”（公开号：CN1394279A，公开日：2003.1.29），该技术涉及了钢带的漏磁检测传感器，通过在传感器组的磁化面安装软磁材料，扩展其检测宽度，但并未提及纵横向缺陷检测并识别的问题。 Steel strips are widely used in machinery manufacturing, petrochemical, aerospace and other industries, and their product quality will directly affect the performance and quality of the final product. At present, steel strip online quality inspection systems have been widely used in major steel mills at home and abroad, mainly including eddy current inspection, infrared inspection, machine vision inspection and magnetic flux leakage inspection. Among them, the eddy current detection method is to use the principle of electromagnetic induction to establish an eddy current field in the steel strip. The defects on the surface or near the surface of the steel strip affect the intensity and distribution of the eddy current. The existence of defects can be known by measuring the impedance change of the detection coil, but this method can only detect Surface and near-surface defects. The infrared detection method uses the principle of high-frequency induction heating to heat up the steel strip locally, and the defect consumes more power to make its temperature higher than other parts. The infrared scanner is used to obtain the signal of the defect, but this method cannot detect internal defects, and It is only used in certain less demanding occasions. The machine vision inspection method is based on the principle that there is a significant difference in the optical properties between the surface defect and the non-defect area, and implements non-destructive inspection on the steel strip, which is widely used. Typical inspection methods include: using laser scanning inspection, using linear array or Scanning detection of area charge-coupled camera devices, such as "Research Status and Prospects of Strip Steel Visual Inspection System" by Yang Shuishan (Metallurgical Automation, 2008,32(2):5-9), but the main problems of machine vision inspection technology are : High cost, high maintenance cost, insufficient ability to distinguish defects with low signal-to-noise and low contrast, only detect surface defects, and require high data processing. In addition, the magnetic flux leakage detection technology is widely used in the detection of ferromagnetic components, and the detection sensitivity of this method is high. At present, in order to find the longitudinal and transverse defects of ferromagnetic components, two sets of circumferential magnetization and longitudinal magnetization devices are usually used, such as "Research on Magnetic Flux Leakage Detection Method for Multi-Specification Oil Casing" by Kang Yihua (Steel Tube, 2007, 36(1): 17 -20), but increases the cost and complexity of the detection system. Chinese patent literature discloses a "magnetic flux leakage detection sensor for magnetic flaw detection device" (publication number: CN1394279A, publication date: 2003.1.29). Install soft magnetic materials to expand its detection width, but the problem of vertical and horizontal defect detection and identification is not mentioned.
发明内容 Contents of the invention
本发明的目的在于提供了一种钢带纵横向缺陷检测并识别的漏磁检测装置及方法，它具有可以对纵、横向缺陷均能检测及实现其识别，并具有简化系统结构，降低了造价的优点。 The object of the present invention is to provide a magnetic flux leakage detection device and method for detecting and identifying longitudinal and transverse defects of a steel strip, which can detect and recognize both longitudinal and transverse defects, and has a simplified system structure, which reduces the cost The advantages.
本发明是这样来实现的，一种钢带纵横向缺陷检测并识别的漏磁检测装置及方法，该方法包括如下步骤： The present invention is achieved in this way, a magnetic flux leakage detection device and method for detecting and identifying longitudinal and transverse defects of a steel strip, the method includes the following steps:
（1）在计算机中的信号采集和处理软件中初始化： (1) Initialize in the signal acquisition and processing software in the computer:
设定检测的钢带的最小纵向缺陷阈值F1，设定检测的钢带的最小横向缺陷阈值F2； Set the minimum longitudinal defect threshold F 1 of the detected steel strip, and set the minimum transverse defect threshold F 2 of the detected steel strip;
（2）使用穿过式线圈对钢带实施纵向强磁化，使2～6mm厚的钢带达到磁饱和状态，使钢带中的纵、横向缺陷均产生较强的漏磁场； (2) Use the through-type coil to implement longitudinal strong magnetization on the steel strip, so that the steel strip with a thickness of 2-6mm reaches the magnetic saturation state, so that the longitudinal and transverse defects in the steel strip will generate strong magnetic field leakage;
（3）利用磁传感器阵列拾取钢带的纵、横向缺陷处磁场信息并转换成电压信号，经模数转换后送入计算机； (3) Use the magnetic sensor array to pick up the magnetic field information at the longitudinal and transverse defects of the steel strip and convert it into a voltage signal, which is sent to the computer after analog-to-digital conversion;
（4）对传感器阵列获取的信号在信号处理软件中分析处理，将各通道的检测信号与设定的阈值F1、F2比较，以识别纵、横向缺陷； (4) Analyze and process the signals acquired by the sensor array in the signal processing software, and compare the detection signals of each channel with the set thresholds F 1 and F 2 to identify longitudinal and transverse defects;
该装置主要包括磁传感器阵列、信号调理电路、模数转换电路和计算机及信号处理软件；其中磁传感器阵列用于获取缺陷处的磁场畸变信息，并为识别纵、横向缺陷提供足够的信息通道；信号调理电路对磁传感器阵列拾取的信号进行放大、滤波；模数转换电路将信号调理电路输出的模拟信号转换成数字信号送入计算机处理；计算机和信号处理软件对采集的信号分析处理，判定是否存在缺陷，并对纵、横向缺陷进行识别； The device mainly includes a magnetic sensor array, signal conditioning circuit, analog-to-digital conversion circuit, computer and signal processing software; the magnetic sensor array is used to obtain the magnetic field distortion information at the defect, and provide sufficient information channels for identifying longitudinal and transverse defects; The signal conditioning circuit amplifies and filters the signal picked up by the magnetic sensor array; the analog-to-digital conversion circuit converts the analog signal output by the signal conditioning circuit into a digital signal and sends it to the computer for processing; the computer and signal processing software analyze and process the collected signal to determine whether it is There are defects, and the longitudinal and transverse defects are identified;
所述的钢带的最小纵向缺陷与最小横向缺陷尺寸规格相同；所述的钢带的最小纵向缺陷阈值F1高于钢带的最小横向缺陷阈值F2； The minimum longitudinal defect of the steel strip is the same as the minimum transverse defect size specification; the minimum longitudinal defect threshold F 1 of the steel strip is higher than the minimum transverse defect threshold F 2 of the steel strip;
所述的穿过式线圈中心为矩形孔，钢带中心线与线圈的中心同轴，以便获得较强均匀的磁化场； The center of the through-type coil is a rectangular hole, and the center line of the steel strip is coaxial with the center of the coil, so as to obtain a strong and uniform magnetization field;
所述的磁传感器阵列为霍尔传感器或检测线圈，霍尔传感器垂直放置，检测线圈轴线与钢带中心线平行，用来测量漏磁场的水平分量； The magnetic sensor array is a Hall sensor or a detection coil, the Hall sensor is placed vertically, and the axis of the detection coil is parallel to the center line of the steel strip, and is used to measure the horizontal component of the leakage magnetic field;
所述的一种钢带纵横向缺陷检测并识别的漏磁检测装置及方法，其特征在于所述的磁传感器阵列为霍尔传感器或检测线圈，霍尔传感器垂直放置，检测线圈轴线与钢带中心线平行，用来测量漏磁场的水平分量，磁传感器阵列的磁传感器有m个，呈两列交错排布，构成阵列使用；m根据钢带的宽度不同而有差异；磁传感器根据布置的位置，从一侧至另一侧，记为，设定传感器对应的检测结果为，则连续个传感器的检测信号可表示为： The magnetic flux leakage detection device and method for detecting and identifying longitudinal and transverse defects of a steel strip is characterized in that the magnetic sensor array is a Hall sensor or a detection coil, the Hall sensor is placed vertically, and the axis of the detection coil is in line with the steel strip. The center lines are parallel to measure the horizontal component of the leakage magnetic field. There are m magnetic sensors in the magnetic sensor array, which are arranged in two staggered rows to form an array; m varies according to the width of the steel strip; the magnetic sensor is arranged according to the position, from side to side, denoted as ,set up The detection result corresponding to the sensor is , then continuous The detection signal of a sensor can be expressed as:
(1) (1)
将与阈值F1和F2比较： Will Compare with thresholds F1 and F2 :
若：F1 > >F2，且≤，测定缺陷为所述钢带的纵向缺陷； If: F 1 > >F 2 , and ≤ , determining that the defect is a longitudinal defect of the steel strip;
若： >F1，且≥，则测定缺陷为所述钢带的横向缺陷； like: > F 1 , and ≥ , then it is determined that the defect is a transverse defect of the steel strip;
其中：为纵向缺陷的信号通道数阈值，为横向缺陷的信号通道数阈值；且，为3～5。 in: is the signal channel number threshold of longitudinal defects, is the signal channel number threshold for transverse defects; and , 3 to 5.
本发明的技术效果是：本发明提出的检测钢带纵横向缺陷的漏磁检测方法，其实质是对钢带实施纵向饱和磁化，使钢带中的缺陷纵、横向缺陷都有足够的漏磁场，从而可以对纵、横向缺陷均能检测，并实现识别纵、横向缺陷的功能。该方法利用一套磁化装置既可检测横向缺陷，又可检测纵向缺陷，降低了检测系统的造价，具有较广阔的应用前景。 The technical effects of the present invention are: the magnetic flux leakage detection method for detecting longitudinal and transverse defects of the steel strip proposed by the present invention, its essence is to implement longitudinal saturation magnetization on the steel strip, so that the longitudinal and transverse defects in the steel strip have sufficient leakage magnetic field , so that both longitudinal and transverse defects can be detected, and the function of identifying longitudinal and transverse defects can be realized. The method uses a set of magnetization devices to detect not only transverse defects but also longitudinal defects, which reduces the cost of the detection system and has broad application prospects.
附图说明 Description of drawings
图1为本发明的漏磁检测原理示意图。 Fig. 1 is a schematic diagram of the magnetic flux leakage detection principle of the present invention.
图2为纵向饱和磁化时钢带N5（横面积损伤5%）的横向缺陷的漏磁场水平分量分布图。 Fig. 2 is the distribution diagram of the horizontal component of the leakage magnetic field of the transverse defects of the steel strip N5 (5% damage in the cross-sectional area) during the longitudinal saturation magnetization.
图3为纵向饱和磁化时钢带N5（横面积损伤5%）的纵向缺陷的漏磁场水平分量分布图。 Figure 3 is a distribution diagram of the horizontal component of the leakage magnetic field of the longitudinal defect of the steel strip N5 (cross-area damage 5%) during longitudinal saturation magnetization.
图4为磁传感器阵列布置示意图正视图。 Fig. 4 is a front view of a schematic layout of a magnetic sensor array.
图5为磁传感器阵列布置示意图侧视图。 Fig. 5 is a schematic side view of the arrangement of the magnetic sensor array.
图6为纵向磁化区分纵、横向缺陷的流程图。 Fig. 6 is a flow chart of distinguishing longitudinal and transverse defects by longitudinal magnetization.
在图中，1、穿过式线圈2、钢带3、磁传感器阵列。 In the figure, 1, through-type coil 2, steel strip 3, magnetic sensor array.
具体实施方式 Detailed ways
本发明提出的钢带纵横向缺陷检测并识别的漏磁检测装置及方法，包括如下步骤： The magnetic flux leakage detection device and method for detecting and identifying the longitudinal and transverse defects of the steel strip proposed by the present invention comprise the following steps:
（1）在计算机中的信号采集和处理软件中初始化：设定检测的钢带的最小纵向缺陷阈值F1，设定检测的钢带的最小横向缺陷阈值F2； (1) Initialize in the signal acquisition and processing software in the computer: set the minimum longitudinal defect threshold F 1 of the detected steel strip, and set the minimum transverse defect threshold F 2 of the detected steel strip;
（2）使用穿过式线圈对钢带实施纵向磁化，使2～6mm厚的钢带达到磁饱和状态，使钢带中的纵、横向缺陷均产生较强的漏磁场； (2) Use the passing coil to magnetize the steel strip longitudinally, so that the steel strip with a thickness of 2-6mm reaches the magnetic saturation state, so that the longitudinal and transverse defects in the steel strip will generate strong magnetic field leakage;
（3）利用磁传感器阵列拾取钢带的纵、横向缺陷处磁场信息并转换成电压信号，经模数转换后送入计算机； (3) Use the magnetic sensor array to pick up the magnetic field information at the longitudinal and transverse defects of the steel strip and convert it into a voltage signal, which is sent to the computer after analog-to-digital conversion;
（4）对传感器阵列获取的信号在信号处理软件中分析处理，将各通道的检测信号与设定的阈值F1、F2比较，以识别纵、横向缺陷。 (4) The signals acquired by the sensor array are analyzed and processed in the signal processing software, and the detection signals of each channel are compared with the set thresholds F 1 and F 2 to identify longitudinal and transverse defects.
下面结合附图对本发明作进一步的说明： Below in conjunction with accompanying drawing, the present invention will be further described:
漏磁检测原理可表述为，当用磁化器磁化被检测材料时，材料中出现的裂纹或坑点等缺陷使得局部区域中的磁导率降低、磁阻增加，一部分磁通直接穿过去缺陷或在材料内部绕过缺陷，而一小部分磁通从材料裂纹或坑点处外泄出来，形成可检测的磁场信号，利用磁传感器扫描该区域便可获取磁场信息，从而确定缺陷位置和尺寸，这种方法称之为漏磁检测方法。 The principle of magnetic flux leakage detection can be expressed as, when a magnetizer is used to magnetize the material to be tested, defects such as cracks or pits appearing in the material will reduce the magnetic permeability and increase the magnetic resistance in the local area, and a part of the magnetic flux will directly pass through the defect or Bypassing the defect inside the material, a small part of the magnetic flux leaks out from the crack or pit of the material to form a detectable magnetic field signal. The magnetic field information can be obtained by scanning the area with a magnetic sensor, so as to determine the position and size of the defect. This method is called the magnetic flux leakage detection method.
在漏磁检测中，使用磁化线圈作为磁化器，磁化方式可分为周向磁化和纵向磁化。铁磁性材料被磁化时，当磁化方向垂直与裂纹走向时，缺陷产生的漏磁场信号最大，检测灵敏度高；当磁化方向平行于裂纹走向时，漏磁场变小，检测灵敏度下降，故此，多应用周向磁化发现纵向缺陷，纵向磁化发现横向缺陷，应用两套磁化装置，实施两个方向的磁化。但由于钢带厚度较薄，对其施加饱和磁化后，使得横向缺陷获得了较高的检测灵敏度，纵向缺陷也有一定的检测灵敏度，可以检出，如附图1所示。 In magnetic flux leakage detection, a magnetized coil is used as a magnetizer, and the magnetization method can be divided into circumferential magnetization and longitudinal magnetization. When the ferromagnetic material is magnetized, when the magnetization direction is perpendicular to the direction of the crack, the leakage field signal generated by the defect is the largest and the detection sensitivity is high; when the magnetization direction is parallel to the direction of the crack, the leakage field becomes smaller and the detection sensitivity decreases. Circumferential magnetization finds longitudinal defects, and longitudinal magnetization finds transverse defects. Two sets of magnetization devices are used to implement magnetization in two directions. However, since the thickness of the steel strip is relatively thin, after saturation magnetization is applied to it, the transverse defect has a higher detection sensitivity, and the longitudinal defect also has a certain detection sensitivity, which can be detected, as shown in Figure 1.
2mm厚钢带N5（横面积损伤5%）的横向缺陷的漏磁场水平分量如图2所示；N5的纵向缺陷的漏磁场水平分量如图3所示，磁敏元件提离距离均为1mm。由图2、3可以看出，这样就利用纵向磁化线圈一套磁化器，能检测钢带的纵、横向缺陷。磁化线圈中心通孔为矩形，矩形孔宽度W与被检钢带宽度有关，可取100～500mm，高度H可取60～90mm，安匝数在4000～40000之间选取。 The horizontal component of the leakage magnetic field horizontal component of the transverse defect of the 2mm thick steel strip N5 (cross-area damage 5%) is shown in Figure 2; the horizontal component of the leakage magnetic field horizontal component of the N5 longitudinal defect is shown in Figure 3, and the lifting distance of the magnetic sensitive element is 1mm . As can be seen from Figures 2 and 3, a set of magnetizers with longitudinal magnetization coils can be used to detect longitudinal and transverse defects of the steel strip. The central through hole of the magnetizing coil is rectangular. The width W of the rectangular hole is related to the width of the steel strip to be inspected.
如图1-3所示，穿过式线圈1的轴线L与被磁化钢带2的轴线L′的同轴；穿过式线圈1通直流电，在钢带2的局部区域处建立局部纵向磁化场。利用磁传感器阵列3获取缺陷漏磁场的水平分量。 As shown in Figure 1-3, the axis L of the penetrating coil 1 is coaxial with the axis L' of the magnetized steel strip 2; the penetrating coil 1 passes through a direct current, and local longitudinal magnetization is established at a local area of the steel strip 2 field. The horizontal component of the defect leakage magnetic field is obtained by using the magnetic sensor array 3 .
如图4、5所示，仅以8个通道为例，磁传感器阵列3呈两列交错排布，构成阵列使用；磁传感器根据布置的位置，从一侧至另一侧，记为C1~Cm；m根据钢带的宽度不同而有差异。 As shown in Figures 4 and 5, taking only 8 channels as an example, the magnetic sensor array 3 is arranged in two rows and staggered to form an array; the magnetic sensor is denoted as C 1 from one side to the other according to the position of the arrangement. ~C m ; m varies according to the width of the steel strip.
本发明的检测装置包括磁传感器阵列、信号调理电路、模数转换电路和计算机及信号处理软件；其中磁传感器阵列用于获取缺陷处的磁场畸变信息，并为识别纵、横向缺陷提供足够的信息通道；信号调理电路对磁传感器阵列拾取的信号进行放大、滤波；模数转换电路将信号调理电路输出的模拟信号转换成数字信号送入计算机和信号处理软件；计算机和信号处理软件对采集的信号分析处理，判定是否存在缺陷，并对纵、横向缺陷进行识别。 The detection device of the present invention includes a magnetic sensor array, a signal conditioning circuit, an analog-to-digital conversion circuit, a computer and signal processing software; wherein the magnetic sensor array is used to obtain the magnetic field distortion information at the defect, and provide sufficient information for identifying longitudinal and transverse defects channel; the signal conditioning circuit amplifies and filters the signal picked up by the magnetic sensor array; the analog-to-digital conversion circuit converts the analog signal output by the signal conditioning circuit into a digital signal and sends it to the computer and signal processing software; the computer and signal processing software process the collected signal Analyze and process, determine whether there are defects, and identify longitudinal and transverse defects.
检测时钢带直线前进，磁传感器阵列以一定提离距离固定不动可实现全方位的缺陷检测。 During detection, the steel strip moves straight forward, and the magnetic sensor array is fixed at a certain lifting distance to realize all-round defect detection.
直流磁化电流的幅值不能太小。利用本发明检测钢带的纵、横向缺陷的主要原因是对钢带进行饱和磁化。太小的磁化电流达不到饱和磁化的效果，从而造成纵向缺陷的检测灵敏度太低而无法检出。 The magnitude of the DC magnetizing current cannot be too small. The main reason for using the invention to detect the longitudinal and transverse defects of the steel strip is to carry out saturation magnetization on the steel strip. If the magnetizing current is too small, the effect of saturation magnetization cannot be achieved, so that the detection sensitivity of the longitudinal defect is too low to be detected.
如图6所示，检测前，依据标样钢带，在信号处理软件中，设定检测的钢带的最小纵向缺陷阈值F1，设定检测的钢带的最小横向缺陷阈值F2。利用纵向直流磁化线圈饱和磁化被检钢带，磁传感器阵列获取缺陷的磁场信息，设定传感器对应的检测结果为，则连续个传感器的检测信号可表示为： As shown in Figure 6, before detection, according to the standard steel strip, in the signal processing software, set the minimum longitudinal defect threshold F 1 of the detected steel strip, and set the minimum transverse defect threshold F 2 of the detected steel strip. Using the longitudinal DC magnetization coil to saturate and magnetize the inspected steel strip, the magnetic sensor array obtains the magnetic field information of the defect, and sets The detection result corresponding to the sensor is , then continuous The detection signal of a sensor can be expressed as:
(1) (1)
将与阈值F1和F2比较： Will Compare with thresholds F1 and F2 :
若：F1 > >F2，且≤，测定缺陷为所述钢带的纵向缺陷； If: F 1 > >F 2 , and ≤ , determining that the defect is a longitudinal defect of the steel strip;
若： >F1，且≥，则测定缺陷为所述钢带的横向缺陷； like: > F 1 , and ≥ , then it is determined that the defect is a transverse defect of the steel strip;
其中：为纵向缺陷的信号通道数阈值，为横向缺陷的信号通道数阈值；且，为3～5。 in: is the signal channel number threshold of longitudinal defects, is the signal channel number threshold for transverse defects; and , 3 to 5.
Claims (1)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210247360.2A CN102759565B (en) | 2012-07-18 | 2012-07-18 | A kind of steel band in length and breadth to defects detection and identify leakage magnetic detection device and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210247360.2A CN102759565B (en) | 2012-07-18 | 2012-07-18 | A kind of steel band in length and breadth to defects detection and identify leakage magnetic detection device and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102759565A CN102759565A (en) | 2012-10-31 |
| CN102759565B true CN102759565B (en) | 2015-12-16 |
Family
ID=47054087
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201210247360.2A Expired - Fee Related CN102759565B (en) | 2012-07-18 | 2012-07-18 | A kind of steel band in length and breadth to defects detection and identify leakage magnetic detection device and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102759565B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103162093B (en) * | 2013-03-27 | 2015-08-26 | 东北大学 | A kind of data collector for oil pipeline flux leakage detector and method |
| CN106404900A (en) * | 2016-11-02 | 2017-02-15 | 中国计量大学 | A steel plate surface defect detection device |
| CN113443533B (en) * | 2021-07-06 | 2022-09-16 | 日立楼宇技术（广州）有限公司 | Steel strip defect detection device and system |
| CN115126477B (en) * | 2022-07-07 | 2024-07-19 | 陕西延长石油（集团）有限责任公司 | Magnetic rotation type casing damage casing leakage well detection testing device and construction method |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2002004937A1 (en) * | 2000-07-12 | 2002-01-17 | Nkk Corporation | Magnetic leakage flux flaw detection method and manufacturing method of hot rolled steel plate using the same |
| CN101419192A (en) * | 2008-11-28 | 2009-04-29 | 华中科技大学 | Super strength magnetisation leakage detecting method and apparatus for magnetic conduction component |
-
2012
- 2012-07-18 CN CN201210247360.2A patent/CN102759565B/en not_active Expired - Fee Related
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2002004937A1 (en) * | 2000-07-12 | 2002-01-17 | Nkk Corporation | Magnetic leakage flux flaw detection method and manufacturing method of hot rolled steel plate using the same |
| CN101419192A (en) * | 2008-11-28 | 2009-04-29 | 华中科技大学 | Super strength magnetisation leakage detecting method and apparatus for magnetic conduction component |
Non-Patent Citations (2)
| Title |
|---|
| 汪友生等.铁磁材料的漏磁检测.《电子测量与仪器学报》.2000,第14卷(第3期),第46页倒数3行. * |
| 铁磁材料的漏磁检测;汪友生等;《电子测量与仪器学报》;20000930;第14卷(第3期);第45-48、59页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102759565A (en) | 2012-10-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102759567B (en) | The EDDY CURRENT identification of steel pipe inside and outside wall defect and evaluation method under DC magnetization | |
| CN103163216B (en) | A kind of metallic conductor defect recognition based on giant magnetoresistance sensor and method of estimation | |
| CN110057904B (en) | A method and device for quantitative detection of defects in moving metal components | |
| CN108828059A (en) | Electromagnetism multi- scenarios method defect comprehensive detection evaluation method and device | |
| CN103235036B (en) | Based on pick-up unit and the method for the differentiation inside and outside wall defect of electromagnetic detection signal | |
| CN102435668B (en) | Array ferromagnetic member surface defect detector based on leakage magnetic field double component | |
| CN103760230B (en) | Based on the weld defects giant magnetoresistance eddy current detection method of BP neural network | |
| CN105510433B (en) | A kind of metal tube electromagnetic nondestructive device based on dynamic raw eddy current | |
| CN109632941B (en) | Method for inhibiting magnetic leakage signal lift-off interference | |
| CN111024805B (en) | A magnetic flux leakage detection device and method for surface damage of steel rails | |
| CN106290553A (en) | A kind of electromagnetic transducer system of novel detection defect in rope | |
| CN103163211B (en) | A kind of metallic conductor surface and subsurface defect classifying identification method | |
| KR20110025282A (en) | Inclusion apparatus of cold rolled steel plate using magnetic sensor | |
| CN102759565B (en) | A kind of steel band in length and breadth to defects detection and identify leakage magnetic detection device and method | |
| CN103713042B (en) | Based on the weld defects eddy current detection method of k nearest neighbor algorithm | |
| CN104833720B (en) | The method of single coil electromagnetism Resonance detector metallic conduit damage | |
| CN114113307A (en) | A device and method for omnidirectional defect detection of coiled tubing | |
| CN112083059A (en) | A method for filtering out the lift-off interference of the top surface of the rail | |
| CN114764086B (en) | Pipeline internal detection method for detecting differential permeability based on eddy current under bias magnetization | |
| JP2013148449A (en) | Magnetic flaw detection device and magnetic flaw detection method | |
| CN102331451A (en) | Nondestructive detection method and device for electric leakage field | |
| CN114705749B (en) | Pipeline inner and outer wall damage judging method based on combination of magnetic leakage and eddy current | |
| CN105866240A (en) | Device and method for distinguishing magnetic flux leakage testing signal of outer wall in steel tube in use | |
| Cheng et al. | Enhanced magneto-optic imaging system for nondestructive evaluation | |
| CN114509494A (en) | Device and method for detecting damage position of rail surface based on residual magnetism effect |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20151216 Termination date: 20170718 |