Reflection Phase Measurements for Ultrasonic NDE of Titanium Diffusion Bonds

Escobar-Ruiz, Edwill; Wright, David C.; Collison, Ian J.; Cawley, P.; Nagy, Péter B.

doi:10.1007/s10921-014-0250-z

Cited by 10 publications

(4 citation statements)

References 27 publications

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“…Guided waves can propagate a long distance in the rail [4][5][6]. Based on the pulse-echo method [7][8][9], the on-line monitoring of rail internal defects can be implemented by detecting the echo signals generated at the rail defects during the propagation of the guided waves.…”

Section: Introductionmentioning

confidence: 99%

“…is the vibration displacement of node t in mode m. t is the average value of the vibration displacement of node t. s e is the vibration displacement of node e of mode m. e is the average value of the vibration displacement of node e.Similarly, Equations(8) and(9) respectively describes the covariance of node t and node e of mode m in x, y, and z directions at the rail web and rail head.…”

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confidence: 99%

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An Ultrasonic Guided Wave Mode Selection and Excitation Method in Rail Defect Detection

Shi

Zhang

et al. 2019

Applied Sciences

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Different guided wave mode has different sensitivity to the defects of rail head, rail web and rail base in the detection of rail defects using ultrasonic guided wave. A novel guided wave mode selection and excitation method is proposed, which is effective for detection and positioning of the three parts of rail defects. Firstly, the mode shape data in a CHN60 rail is obtained at the frequency of 35 kHz based on SAFE method. The guided wave modes are selected, combining the strain energy distribution diagrams with the phase velocity dispersion curves of modes, which are sensitive to the defects of the rail head, rail web and rail base. Then, the optimal excitation direction and excitation node of the modes are calculated with the mode shape matrix. Phase control and time delay technology are employed to achieve the expected modes enhancement and interferential modes suppression. Finally, ANSYS is used to excite the specific modes and detect defects in different rail parts to validate the proposed methods. The results show that the expected modes are well acquired. The selected specific modes are sensitive to the defects of different positions and the positioning error is small enough for the maintenance staff to accept.

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Section: Introductionmentioning

confidence: 99%

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confidence: 99%

An Ultrasonic Guided Wave Mode Selection and Excitation Method in Rail Defect Detection

Shi

Zhang

et al. 2019

Applied Sciences

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“…Characteristic frequencies associated with adherend-adhesive interface stiffness parameters, embedded in the longitudinal and transverse ultrasonic reflection coefficients, have been used to assess bond quality [4]. Ultrasonic phase measurements have been used to assess the quality of titanium diffusion bonds [5,6]. And ultrasonic phase measurements of 'kissing bonds', simulated by dry contact interfaces, have proved promising in studies that show measurable phase shifts for different dry contacting surfaces [7].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Adhesive Bond Strength from Ultrasonic Tone-Bursts

Cantrell

2018

J Nondestruct Eval

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A model for the amplitude and phase of ultrasonic tone-bursts incident on adherend-adhesive interfaces is developed for both reflected and transmitted waves. The model parameters include the interfacial stiffness constants, which characterize the elastic properties of idealized adherendadhesive interfaces having a continuum of bonds. The ultrasonic model is linked to the more realistic physico-chemical model of adhesive bonding via a scaling equation that establishes the relationship between the interfacial stiffness constants of the ultrasonic model and the fraction of actual bonds in the physico-chemical model. The link to the physico-chemical model enables a quantitative assessment of the absolute bond strength. The ultrasonic model and scaling equation are applied to the simulation assessment of the absolute bond strength of two aluminum alloy adherends joined by an epoxy adhesive. Model input is obtained from the calculated phase of tonebursts reflected from the adherend-adhesive interfaces as a function of the interfacial stiffness constants. The simulation shows that the reflected phase is dominated by the first interface encountered by the incident tone-burst with little contribution from the second interface. The simulation also shows that the accuracy in assessing the adhesive bond strength depends on the sensitivity of the reflected phase to variations in the interfacial stiffness constants, reflecting in part the nonlinearity of the scaling relationship.

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“…In partially well bonded components imperfect interfaces behave much like tight kissing bonds [6]. Since kissing bonds produce very low linear ultrasonic contrast at low inspection frequencies and the inspection frequency is inherently limited by grain scattering, it becomes very difficult to distinguish different bond qualities by linear ultrasonic inspection methods alone as the sensitivity of this method quickly drops when the bond quality increases [7][8][9]. Previous studies have shown that an unbonded interface cannot support tension and therefore opens up as a response to the tension phase of a disturbance.…”

Section: Introductionmentioning

confidence: 99%