Ultrasonic measurement of contact stress at metal-to-metal interface based on a real rough profile through modeling and experiment

Han, Ting; Fan, Jun

doi:10.1016/j.measurement.2023.113046

Cited by 6 publications

(2 citation statements)

References 44 publications

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“…M. Pau et al studied the characteristics of ultrasonic reflection in the interface contact area and reflected the geometric shape of the contact surface through ultrasonic reflection signals 11 . T. Han et al studied the relationship between ultrasonic signals and contact stress between metal-to-metal sealing surfaces, demonstrating the practical feasibility of ultrasonic testing technology in evaluating the sealing performance of premium connection tubing 5 . Overall, the development level of oil pipe sealing detection technology is still focused on basic theories, and there is relatively little research on the application of ultrasonic technology in premium connection sealing surface detection.…”

Section: Related Workmentioning

confidence: 99%

“…In order to ensure the normal and reliable operation of the oil pipe after being lowered into the well, and to prevent sealing failure and leakage at the oil tubing connection due to damage to the sealing surface, it is necessary to evaluate the sealing effect of the oil tubing connection before lowering into the well. Ultrasonic testing of tubing sealing is a technology based on the principle of detecting the echo energy of sound waves at the sealing surface 5 . When ultrasonic waves reach the metal-to-metal sealing interface, sound wave transmission and reflection will occur, the closer the sealing surface is, the acoustic transmittance is higher, and the reflectivity is smaller.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Promptable model for premium connection sealing surface detection and segmentation

Yang,

Fan,

Tian

et al. 2024

Fifth International Conference on Computer Vision and Computational Intelligence (CVCI 2024)

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When applying the tubing ultrasonic testing technology to evaluate the contact condition of the metal-to-metal sealing surface of premium connection, it is necessary to judge the ultrasonic reflection amplitude image of the manual contact interface to observe whether there is sealing defect. At present, the images of phased array ultrasonic testing results usually require professionals to rely on technical knowledge to judge, the analysis has low efficiency and strong evaluation subjectivity. Therefore, there is an urgent need for an intelligent method to identify the location, range and type of sealing defects in ultrasonic images accurately and efficiently, so as assisting or replacing manual operations. Aiming at the problems of heavy reliance on data quality and inflexible segmentation effect during the process of identifying the sealing surface region using the original Mask R-CNN network, the approach described in this paper enhances the model by incorporating the Segment Anything Model(SAM) and employs prompts to guide the object detection model in generating masks that fulfill various criteria. Experiments show that the method adopted in this paper can not only correctly identify the sealing surface location, but also, compared with the original Mask R-CNN network model, it can output a segmentation mask that meets the demand according to the prompts of different segmentation criteria, and the obtained sealing surface region is closer to the theoretical segmentation region.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%