Ultrasonic NDT on aluminum bars: An experimental performance comparison of excitation and processing techniques

Bernieri, Andrea; Ferrigno, Luigi; Laracca, Marco; Rasile, Antonio; Ricci, Marco

doi:10.1016/j.measurement.2017.10.040

Cited by 11 publications

(4 citation statements)

References 12 publications

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“…The ultrasonic flaw detector estimates the depth of flaws or cracks or measures the thickness of the sample by using ultrasonic propagation velocity in the sample specified by the user. One way of measuring the propagation velocity is to measure the thickness and ultrasonic transit time as indicated in (1). The UFDs are generally not suitable for the estimation of transit time and a special arrangement is required for its measurement.…”

Section: Working Principle and Experimental Setup For The Ultrasonic ...mentioning

confidence: 99%

“…The ultrasonic propagation velocity through the RSB material is also measured using (1). The ultrasonic time of flight (twice the transit time) through the sample has been measured using a digital storage oscilloscope (DSO, Model: Lecroy; WaveSurfer 42Xs) having a time measurement resolution of 100 ps and being traceable against the National Standard of Time and Frequency metrology of NPLI.…”

Section: Ultrasonic Velocity Calibration Using Transit Time and Thick...mentioning

confidence: 99%

“…It ensures the product's structural integrity, quality, and reliability, especially in assessment of materials, due to its inherent advantages of not affecting or damaging the item being tested. The ultrasonic NDT technique is one of the most widely used and well-accepted for metrological characterization as well as for industrial applications including dimensional measurements [1][2][3][4][5][6][7]. In the past few decades, this method has also been preferred as there is no need to access both sides of the material [8,9].…”

Section: Introductionmentioning

confidence: 99%

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Metrological investigation and calibration of reference standard block for ultrasonic non-destructive testing

Yadav,

Dubey

2022

Metrology and Measurement Systems

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Ultrasonic Non-Destructive Testing (NDT) is a powerful tool used for testing, verification, and inspection of material, especially for quality control and assurance. The key applications are the identification of flaws, cracks, irregularities, defects, and estimation of material thickness. The standard documents available for ultrasonic NDT are used as a guideline for the specifications and certification of the calibration reference standard block (RSB). The method for metrological characterization of the testing blocks is not specifically addressed in standard documents and is left to the wisdom of metrologists working in the ultrasonic calibration laboratories to adopt the suitable one. The ultrasonic flaw detector (UFD) is used most widely in ultrasonic NDT. The International Institute of Welding (IIW) V1 RSB standard is used as a reference to ascertain the functionalities of UFDs. In this article, we have proposed a new methodology for calibration of RSB and evaluation of associated measurement uncertainty along with influencing parameters. The proposed method conforms to the international standard ISO 2400:2012 and Indian standard IS 4904:2006 for validation purposes. According to these standards, the clauses for RSB e.g., dimension and quality of material have been examined. The expanded measurement uncertainty in thickness, ultrasonic longitudinal velocity, ultrasonic attenuation, parallelism and perpendicularity is ±0.068 mm, ±6.70 m/s, ±0.22 dB, and ±0.066 mm, respectively. The measurement uncertainty of these parameters is well within as per clauses stipulated in the standard documents except the ultrasonic longitudinal velocity for the IS standards.

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Section: Working Principle and Experimental Setup For The Ultrasonic ...mentioning

confidence: 99%

Section: Ultrasonic Velocity Calibration Using Transit Time and Thick...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Metrological investigation and calibration of reference standard block for ultrasonic non-destructive testing

Yadav,

Dubey

2022

Metrology and Measurement Systems

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“…a heavy workload, which can result in misdetection. Accordingly, automated defect detection has become a trend, for example, ultrasonic non-destructive testing has been used to detect defects on aluminum bars [1]. As machine-visionbased detection technology is fast, inexpensive, and easy to install and deploy, it has become a promising technology for automated detection.…”

Section: Introductionmentioning

confidence: 99%

Virtual-sample-based defect detection algorithm for aluminum tube surface

Lang¹,

Wang²,

Cheng³

et al. 2021

Meas. Sci. Technol.

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A surface defect is an important factor that affects product quality. However, due to the large differences in area of different surface defects, and noise on various surfaces, defect detection is challenging. The convolutional neural network (CNN)-based methods recently developed for defect detection produced higher recognition rates than traditional methods. However, they are typically trained using a supervised learning strategy and large defect sample sets which limits the practical use of these algorithms. This study proposes a novel virtual sample generation algorithm to solve the problem of insufficient defective samples and time-consuming manual annotation in current CNN-based defect detection algorithms. Next, an improved domain-adversarial neural network is proposed, which is trained on virtual and actual datasets to achieve unsupervised learning. Considering the imbalance in actual dataset, algorithm accuracy is improved by changing the proportions of defective and non-defective samples in the virtual sample set, and this strategy is experimentally verified. The performance of the proposed algorithm is compared with several top-performing defect inspection algorithms. The experimental results show that the proposed algorithm exhibits superior performance when compared to other algorithms.

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