Browsing by Author "Masurkar, Faeez"

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    Estimating the reliability of the inspection system employed for detecting defects in rail track using ultrasonic guided waves
    (Springer, Cham, 2024) Khalil, Abdelgalil; Masurkar, Faeez; Abdul-Ameer, A.
    This work focuses on the implementation of a data-based method to determine the inspection system reliability in terms of detecting different types of damages in rail track specimens using ultrasonic guided Rayleigh waves and a probability of detection (POD) technique. In this study, the reliability is tested against a surface crack (SC) and a sub-surface damage – a through side thickness hole (TSTH). The guided Rayleigh waves are generated using a custom-designed sensor that explicitly excited ultrasonic Rayleigh surface waves in the specimen and the propagating waves are sensed on the rail track surface. The wedge shape design of the sensor helps to excite a specific ultrasonic mode in the sample thereby hindering the ultrasonic energy of other coupled guided waves that can propagate simultaneously and the angle of the wedge is determined according to the Snell’s law relying on the wave velocity of Rayleigh wave and bulk longitudinal wave. The guided wave responses as a function of varying severity of defects are obtained through a simulation study after the verification of the obtained guided wave responses with the help of an experimental study. A damage index (DI) is defined depending on defect size that gives the trend of rising damage severity from the captured ultrasonic responses and for monitoring defects in the rail track specimens. This DI is eventually fed into the POD model to determine the probability of defect detection which in turn helps to determine the inspection system reliability. The POD method also helps to study the critical design parameters that could affect or improve the crack detection results.
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    Estimating the Reliability of the Inspection System Employed for Detecting Defects in Rail Track Using Ultrasonic Guided Waves
    (SpringerLink, 2024) Khalil, Abdelgalil; Masurkar, Faeez; Abdul-Ameer, A.
    This work focuses on the implementation of a data-based method to determine the inspection system reliability in terms of detecting different types of damages in rail tracks using ultrasonic-guided Rayleigh waves and a probability of detection (POD) technique. In this study, the reliability is tested against a surface crack (SC) and sub-surface damage – a through-side thickness hole (TSTH). The guided Rayleigh waves are generated using a custom-designed sensor that excites Rayleigh surface waves in the specimen and the propagating waves are sensed on the rail track surface. The wedge shape design of the sensor helps to excite a specific ultrasonic mode in the sample thereby hindering the ultrasonic energy of other coupled guided waves that can propagate simultaneously and the wedge angle is determined according to Snell’s law relying on the wave velocity of Rayleigh wave and bulk longitudinal wave. The guided wave responses as a function of varying severity of defects are obtained through a simulation study after the verification of the obtained guided wave responses with the help of an experimental study. A damage index (DI) is defined depending on defect size that gives the trend of damage severity from the captured ultrasonic responses and for monitoring defects in the rail track. This DI is eventually fed into the POD model to determine the probability of defect detection which in turn helps determine the inspection system reliability. The POD method also helps to study the critical design parameters that could affect or improve crack detection results. Purpose – To determine the reliability of inspection system deployed for interrogating health status of rail track. Methodology – Employing the Probability of detection technique for determining how reliable the inspection system is in detecting the health status of the rail track specimen using the ultrasonic guided waves. Findings – It has been found that the proposed inspection system is >90% reliable in detecting defects. Implications – This methodology can help maintenance engineers to make an informed decision on their developed technique for investigating the health status of the rail track sample. Originality/ value – 13%.
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    Investigating different damages in a hybrid composite plate completely immersed in water using Ultrasonic waves
    (2024) Masurkar, Faeez; Abdul-Ameer, Alaa; Cui, Fangsen
    The present research investigates the ability of ultrasonic waves in detecting and localizing different types of damage in a hybrid metal-composite laminate fully immersed in water through the permanently attached piezoelectric (PZT) transducers (PZT). Based on the wave-structure analysis and dispersion diagrams obtained for the hybrid metal-composite laminate, a suitable wave excitation frequency is selected for conducting numerical simulations. Accordingly, a gaussian-windowed tone burst signal centered at 250 kHz is applied at the PZT to generate ultrasonic waves in the test specimen. It is found that Scholte wave mode is generated and propagates along the water-solid interface in addition to the anti symmetric guided wave modes. Further, mode conversion is observed during the wave mode-damage interaction. Comparing the pristine and damaged specimens, additional wave packets are seen to be propagating within the specimen that is revealed by analyzing the time-domain waveforms. This information can be further utilized in detecting as well as localizing the damage in the specimen. The location of damage found is well in harmony with the physical locations of damage. Thus, the proposed methodology is found to be capable of investigating the health status of immersed hybrid laminates non-destructively using ultrasonic waves with the help of simple and cost-effective PZT sensors.