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Journal ArticleDOI

Shallow Buried Defect Testing Method Based on Ultrasonic TOFD

Dazhao Chi, +1 more
- 03 Jan 2013 - 
- Vol. 32, Iss: 2, pp 164-171
TLDR
In this article, a three-fold reflected longitudinal wave whose propagation path in the testing piece looks like the letter "W" was used to locate SBD, and mathematical models were developed to locate the SBD tip with the buried depth of 1 mm.
Abstract
Ultrasonic time of flight diffraction (TOFD) suf- fers from the shortcoming of lack of near surface resolution, primarily owning to the superposition of the lateral wave and the shallow buried defect (SBD) wave, and the insen- sitive region beneath the inspection surface because of the restricted beam width of the probes. This paper presents a method for the detection of SBD based on conventional TOFD. The method is named as TOFDW because it employs a three-fold reflected longitudinal wave whose propagation path in the testing piece looks like the letter "W". Based on Pythagoras's theory, mathematical models are developed to locate SBD. In TOFDW mode, the time difference between the lateral wave and the SBD wave can be enlarged greatly so that they would never be superposed. In addition, through reflecting the incident longitudinal wave by bottom surface, the near surface region of the testing piece is covered with an intense acoustic field, making TOFDW free of the restriction of the probes' beam width. These contribute to the improve- ment of the near surface resolution. The experiments show that with the proposed TOFDW and mathematical models, the artificial defect tip with the buried depth of 1 mm can be detected, and the tips can be measured within an error of 0.3 mm; the weld defect with the buried depth of 2 mm can be identified effectively, and the location can be measured within an error of 0.5 mm.

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Citations
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Journal ArticleDOI

Segmented analysis of time-of-flight diffraction ultrasound for flaw detection in welded steel plates using extreme learning machines

TL;DR: A novel segmented analysis of time-of-flight diffraction ultrasound signals is proposed in order to produce high flaw detection efficiency and low computational requirements, making it possible to be used in embedded applications.
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Quantitative Evaluation of Buried Defects in Ferromagnetic Steels Using DC Magnetization-Based Eddy Current Array Testing

TL;DR: In this article, a direct current (dc) magnetization-based ECAT (DCMECAT) is proposed to quantify buried defects existing in the inner surface of steel plates.
Journal ArticleDOI

An alternative Ultrasonic TimeofFlight Diffraction (TOFD) method

TL;DR: In this paper, an alternative TOFD method is presented, capable to detect and size defects in the inspected material with good precision, and it is shown that the diffraction used in this technique is the most relevant signal among the longitudinal backwall and the shear backwall echoes, compared to other TOFD methods.
Journal ArticleDOI

Quantitative Detection of Shallow Subsurface Defects by Using Mode-Converted Waves in Time-of-Flight Diffraction Technique

TL;DR: In this paper, an easy-to-implement method based on mode-converted waves was proposed for quantitatively detecting shallow subsurface defects using the ultrasonic time-of-flight diffraction (TOFD) technique.
Journal ArticleDOI

Parameter Design of Linear Frequency Modulated Excitation Waveform for Ultrasonic Nondestructive Testing of Metallic Materials

TL;DR: In this article, a bandwidth selection method to analyze the effect of the LFM bandwidth on the inspection results was proposed, as well as to select an optimized frequency modulated (LFM) bandwidth corresponding to different transducers.
References
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Journal ArticleDOI

Shear-wave time of flight diffraction (S-TOFD) technique

TL;DR: In this paper, the authors used the shear wave-diffracted signal instead of the longitudinal wave for near-surface inspection of a crack tip and demonstrated an increase in the defect sizing accuracy.
Journal ArticleDOI

Ultrasonic TOFD flaw sizing and imaging in thin plates using embedded signal identification technique (ESIT)

TL;DR: In this paper, an automated defect sizing algorithm using the Embedded Signal Identification Technique (ESIT) was developed for separating partially superimposed signals often encountered in thin sections and the results were compared with the manual sizing method.
Journal ArticleDOI

Pattern Recognition of Weld Defects in Preprocessed TOFD Signals Using Linear Classifiers

TL;DR: In this paper, three kinds of defects, namely lack of fusion (LF), lack of penetration (LP) and porosity (PO), were inserted into the specimens durin the welding process, generating pattern defects.
Journal ArticleDOI

The use of artificial neural network in the classification of pulse-echo and TOFD ultra-sonic signals

TL;DR: In this article, the authors evaluated the application of artificial neural networks for pattern recognition of ultrasonic signals using pulse-echo and TOFD (Time of Flight Diffraction) techniques in weld beads.
Journal ArticleDOI

Reliability assessment of manual ultrasonic time of flight diffraction (TOFD) inspection for complex geometry components

TL;DR: In this article, a manual ultrasonic time of flight diffraction (TOFD) inspection system was used to develop the probability of detection (POD) and probability of sizing (POS) curves for the detection and sizing of surface-breaking cracks in components having complex geometry.
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