High dynamic online detection method for surface defects of small diameter reflective inner wall

Yuan, Shuaipeng; Yan, Ning; Zhu, Linlin; Hu, Jianghong; Li, Zexiao; Liu, Haoyue; Zhang, Xiaodong

doi:10.1016/j.measurement.2022.111138

Cited by 9 publications

(2 citation statements)

References 23 publications

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“…These methods are inefficient and cannot be used for a quantitative analysis of measurement results. In recent years, the rapid development of optoelectronic technology has seen researchers employing techniques such as stable multi-color multi-ring lights [10], stripe lights [11], and point lasers [12] to project structured light onto hole walls and using cameras to capture images of structured light for deep hole inner wall measurement, thus advancing deep hole measurement technology.…”

Section: Introductionmentioning

confidence: 99%

Improving Measurement Accuracy of Deep Hole Measurement Instruments through Perspective Transformation

Zhao,

Du,

2024

Sensors

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Deep hole measurement is a crucial step in both deep hole machining and deep hole maintenance. Single-camera vision presents promising prospects in deep hole measurement due to its simple structure and low-cost advantages. However, the measurement error caused by the heating of the imaging sensor makes it difficult to achieve the ideal measurement accuracy. To compensate for measurement errors induced by imaging sensor heating, this study proposes an error compensation method for laser and vision-based deep hole measurement instruments. This method predicts the pixel displacement of the entire field of view using the pixel displacement of fixed targets within the camera’s field of view and compensates for measurement errors through a perspective transformation. Theoretical analysis indicates that the perspective projection matrix changes due to the heating of the imaging sensor, which causes the thermally induced measurement error of the camera. By analyzing the displacement of the fixed target point, it is possible to monitor changes in the perspective projection matrix and thus compensate for camera measurement errors. In compensation experiments, using target displacement effectively predicts pixel drift in the pixel coordinate system. After compensation, the pixel error was suppressed from 1.99 pixels to 0.393 pixels. Repetitive measurement tests of the deep hole measurement instrument validate the practicality and reliability of compensating for thermal-induced errors using perspective transformation.

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Section: Introductionmentioning

confidence: 99%

Improving Measurement Accuracy of Deep Hole Measurement Instruments through Perspective Transformation

Zhao,

Du,

2024

Sensors

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“…UT provides a scanning method to quantify inner defects [6], but it is not sensitive to surface defects, and liquid couplants are required. CV takes a camera instead of human eyes to visualize cracks with high detection accuracy and efficiency [7,8]. However, it can only identify surface defects, and it is hard to quantify defect depth.…”

Section: Introductionmentioning

confidence: 99%

Scanning Induction Thermography for Bearing Ring Under AC-DC Composite Magnetization

Jiang

Zhang

et al. 2022

J Nondestruct Eval

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Induction thermography is a promising nondestructive testing technique with the advantages of high efficiency, lift-off tolerance, and defect imaging. To fulfill scanning detection and quantify the defect in bearing rings, this paper proposes scanning eddy current thermography under AC-DC composite magnetization. With DC magnetization, the defect will cause permeability disturbance in the bearing ring surface. Under high-frequency AC magnetization, disturbed permeability will generate a non-uniform thermal response captured by the infrared camera. To investigate the detection principle, a multi-physics coupling simulation model for permeability and thermal distribution in the scanning process is built, involving DC-AC composite magnetization, nonlinear ferromagnetic material, heat generation, heat conduction, and scanning movement. Then, a thermal data postprocessing method for scanning imaging and crack quantification is proposed. Finally, the scanning induction thermography system for bearing rings is designed and developed. The experimental results show that the proposed scanning method can quantify bearing ring cracks with depths up to 2.0 mm.

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RCA: YOLOv8-Based Surface Defects Detection on the Inner Wall of Cylindrical High-Precision Parts

Li,

Solihin,

Nugroho

2024

Arab J Sci Eng

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High dynamic online detection method for surface defects of small diameter reflective inner wall

Cited by 9 publications

References 23 publications

Improving Measurement Accuracy of Deep Hole Measurement Instruments through Perspective Transformation

Improving Measurement Accuracy of Deep Hole Measurement Instruments through Perspective Transformation

Scanning Induction Thermography for Bearing Ring Under AC-DC Composite Magnetization

RCA: YOLOv8-Based Surface Defects Detection on the Inner Wall of Cylindrical High-Precision Parts

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