Non-Destructive Testing Device for Hot Forming High Strength Steel Parts Based on Barkhausen Noise

2013 ◽  
Vol 423-426 ◽  
pp. 2555-2558 ◽  
Author(s):  
Xiao Yu Luo ◽  
Yu Zhang ◽  
Zi Jian Wang ◽  
Yi Sheng Zhang
Keyword(s):  
High Strength Steel ◽  
High Hardness ◽  
High Strength ◽  
Hot Forming ◽  
Barkhausen Noise ◽  
Testing Device ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Feature Values ◽  
Non Destructive

In order to realize the nondestructive testing for hot forming high strength steel parts, a hardness testing device based on Magnetic Barkhausen Noise (MBN) was developed. By measuring MBN of standardized blocks of Rockwell hardness and extracting feature values of the noise, a fitted curve between hardness and MBN peak was calibrated. Good linearity was found between hardness and MBN peak within high hardness range 35~60HRC. The testing device was proved to be high-precision and stable by measuring the practical high strength steel parts.

Testing of Hardness on Long Rail Welded Joint by Means of Magnetic Barkhausen Noise Technique

2014 ◽  
Vol 490-491 ◽  
pp. 351-357
Author(s):  
Liang Yin ◽  
Di Shu ◽  
Juan Chen ◽  
Xin Qi
Keyword(s):  
Welded Joint ◽  
Brinell Hardness ◽  
Surface Hardness ◽  
Barkhausen Noise ◽  
Non Destructive Testing ◽  
Magnetic Barkhausen Noise ◽  
Destructive Testing ◽  
Testing Technique ◽  
Non Destructive ◽  
Microstructure Of The Material

The experiment shows that the Magnetic Barkhausen Noise (MBN) signal strongly depends on the elastic deformation, heat treatment state of surface and microstructure of the material, etc. Using the MBN technology that rely on the material characteristics, MBN can be used for testing the surface hardness of 60kg/m U74 seamless rail made by China Harbin welded rail plant. And the testing result obtained by the MBN method is consistent with the results obtained by the Brinell hardness (HB) method. Consequently, this non-destructive testing technique will have a strong life and an extensive market.

scholarly journals Acousto-ultrasonics for defect assessment of composite materials

2002 ◽  
Author(s):  
◽  
Kevin M. Dugmore
Keyword(s):  
Composite Materials ◽  
Composite Structures ◽  
Testing Device ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Defect Assessment ◽  
Short Time ◽  
Non Destructive

The experiments and their results contained herein will form the basis for the development of a portable non-destructive testing device for composite structures. This device is to be capable of detecting any of a variety of defects and assessing their severity within a short time

Grading of structural timber of Populus × euramericana clone I-214

Holzforschung ◽  
2012 ◽  
Vol 66 (5) ◽  
pp. 633-638 ◽  
Author(s):  
Milagros Casado ◽  
Luis Acuña ◽  
Luis-Alfonso Basterra ◽  
Gemma Ramón-Cueto ◽  
Daniel Vecilla
Keyword(s):  
High Strength ◽  
Bending Test ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Visual Grading ◽  
Populus Euramericana ◽  
Four Point Bending ◽  
Low Elastic Modulus ◽  
Non Destructive

Abstract Grading tests were performed on 338 poplar wood samples (Populus × euramericana I-214) with dimensions of 150×50 mm2, 150×80 mm2, and 200×100 mm2 prepared for structural utilization. The non-destructive testing methods included ultrasound (Sylvatest) and induced vibrations (Portable Lumber Grader) combined with visual grading criteria. Additionally, screw withdrawal resistance was tested by the instrument Fakopp. These results were compared with those obtained by a four-point bending test according to the EN 408 (2004) standard. Ultrasound and induced vibrations overestimated the quality of this type of wood. Correlation equations are proposed to determine the true characteristics for each testing method. It can be concluded that poplar timber from clone I-214 has acceptable flexural strength, but a comparatively low elastic modulus, whereby it is not graded within a high strength class according to the EN 338 (2009) standard.

Multivariate non-destructive evaluation for tensile strength of steel based on neural network

2021 ◽  
Vol 63 (7) ◽  
pp. 427-435
Author(s):  
Junyang Tan ◽  
Dan Xia ◽  
Shiyun Dong ◽  
Honghao Zhu ◽  
Binshi Xu
Keyword(s):  
Tensile Strength ◽  
Magnetic Hysteresis ◽  
Barkhausen Noise ◽  
Non Destructive Testing ◽  
Magnetic Barkhausen Noise ◽  
Testing Methods ◽  
Destructive Testing ◽  
Ultrasonic Signals ◽  
Non Destructive Evaluation ◽  
Non Destructive

Tensile strength (TS) is an important mechanical property of a material. The conventional mechanical measurement method destroys the object under investigation; hence, the non-destructive evaluation of tensile strength of materials has become a research hotspot in recent years. Currently, there are some accuracy problems associated with evaluating the tensile strength of materials on the basis of single non-destructive testing (NDT) methods such as ultrasonic or electromagnetic methods. In this study, 45 steel is used as an example to study various non-destructive testing methods. First, seven different heat treatment systems are used to prepare standard specimens with different tensile strengths, which are measured by tensile tests. Second, non-destructive testing signals for each specimen are obtained as ultrasonic signals, magnetic Barkhausen noise and magnetic hysteresis signals, and the characteristic parameters of the signals are extracted. Then, single-parameter non-destructive evaluation (SNE) models of tensile strength with three different non-destructive testing methods are developed. Furthermore, a multivariate non-destructive evaluation (MNE) method based on ultrasonic signals, magnetic Barkhausen noise and magnetic hysteresis is proposed to improve the accuracy of the tensile strength measurements obtained from non-destructive testing. A deep residual network (ResNet) is used to combine the features of the three non-destructive testing parameters and an MNE model of tensile strength is developed. Moreover, a data pretreatment method based on the fuzzy mapping relationship is applied to train the MNE model successfully and enhance the stability, accuracy and reliability of the obtained results. Finally, the accuracies of the above four tensile strength evaluation models are confirmed by verification using the specimens. The results show that the MNE model has higher accuracy than the SNE models.

Evaluation of Railway Rails with Non-Destructive Techniques

2014 ◽  
Vol 605 ◽  
pp. 641-644
Author(s):  
Anastasia Karahaliou
Keyword(s):  
Stress State ◽  
Barkhausen Noise ◽  
Non Destructive Testing ◽  
Magnetic Barkhausen Noise ◽  
Testing Methods ◽  
Destructive Testing ◽  
Residual Stress State ◽  
Non Destructive ◽  
Non Destructive Techniques ◽  
Scanning Electron

Non-destructive testing methods, such as Magnetic Barkhausen Noise method, are widely used on railways for examining the stress state of running railway rails. Detailed information about the morphology of the microstructure features of the rail surface is derived by Scanning Electron Microscopy. Phase composition, hardness and residual stress state of the rails are determined by MBN signal.

Non-destructive testing on creep degraded 12% Cr-Mo-W-V ferritic test samples using Barkhausen noise

2020 ◽  
Vol 498 ◽  
pp. 166102 ◽  
Author(s):  
Bhaawan Gupta ◽  
Benjamin Ducharne ◽  
Tetsuya Uchimoto ◽  
Gael Sebald ◽  
Takamichi Miyazaki ◽  
...  
Keyword(s):  
Barkhausen Noise ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Non Destructive
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