Non-contact optical dynamic measurements at different ranges: a review

Fu, Yu; Shang, Yang; Hu, Wenjing; Li, Bin; Yu, Qifeng

doi:10.1007/s10409-021-01102-1

Cited by 20 publications

(6 citation statements)

References 151 publications

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“…Compared with traditional coordinate measuring machines, non-contact optical measurement systems have the characteristics of non-destructiveness, high sensitivity, and high precision. The measurement systems can quickly obtain accurate and dense spatial surface geometry points without touching the workpiece [ 13 ], which are used to describe the geometric features of the measured surface [ 14 , 15 ]. Feng et al [ 16 ] used a handheld 3D laser scanner to obtain the three-dimensional geometric defects of an I-beam cross-section specimen (represented in point cloud form) and proposed a new method to establish a digital geometric model of the specimen based on point cloud data, with a scanning accuracy of up to 0.5 mm.…”

Section: Introductionmentioning

confidence: 99%

Identification and classification of surface defects for digital twin models of the workpiece

Qu,

Huang,

Zhang

et al. 2024

PLoS ONE

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Workpiece surface defect detection is an indispensable part of intelligent production. The surface information obtained by traditional 2D image detection has some limitations due to the influence of environmental light factors and part complexity. However, the digital twin model has the characteristics of high fidelity and scalability, and the digital twin surface can be obtained by a device with a scanning accuracy of 0.02mm to achieve the representation of the real surface of the workpiece. The surface defect detection system for digital twin models is proposed based on the improved YOLOv5 model in this paper. Firstly, the digital twin model of the workpiece is reconstructed by the point cloud data obtained by the scanning device, and the surface features with defects are captured. Subsequently, the training dataset is calibrated based on the defect surface, where the defect types include Inclusion, Perforation, pitting surface and Rolled-in scale. Finally, the improved YOLOv5 model with CBAM mechanism and BiFPN module was used to identify the surface defects of the digital twin model and compare it with the original YOLOv5 model and other common models. The results show that the improved YOLOv5 model can realize the identification and classification of surface defects. Compared with the original YOLOv5 model, the mAP value of the improved YOLOv5 model has increased by 0.2%, and the model has high precision. On the basis of the same data set, the improved YOLOv5 model has higher recognition accuracy than other models, improving 11.7%, 3.4%, 6.2%, 33.5%, respectively. As a result, this study provides a practical and systematic detection method for digital twin model surface during the intelligent production process, and realizes the rapid screening of the workpiece with defects.

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Section: Introductionmentioning

confidence: 99%

Identification and classification of surface defects for digital twin models of the workpiece

Qu,

Huang,

Zhang

et al. 2024

PLoS ONE

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“…However, DIC requires time-consuming preparation of samples as well as extensive calibration procedures and the measurement resolution is limited compared to interferometric methods (O'Donoughue et al, 2023). Laser metrology methods such as digital shearography and Scanning Laser Doppler Vibrometry (SLDV) have also been implemented within industrial applications and are both relatively robust to temporal instabilities (Fu et al, 2021). Digital shearography is a speckle pattern interferometry technique that directly measures the strain field.…”

Section: Introductionmentioning

confidence: 99%

High-resolution imaging for in-situ non-destructive testing by quantitative lensless digital holography

Ruiz-Cadalso,

Furlong

2024

Front. Photon.

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Quantitative imaging technologies for in-situ non-destructive testing (NDT) demand high-resolution, wide-field, and stable metrology capabilities. Moreover, live processing and automation are vital for real-time quality control and inspection. Conventional methods use complex optical setups, resulting in large, immobile systems which can solely operate within controlled environmental conditions due to temporal instabilities, rendering them unsuitable for in-situ measurements of micro-to nano-scale physical phenomena. This article delves into the multiphysics application of lensless digital holography, emphasizing its metrological capacity for various in-situ scenarios, while acknowledging and characterizing the differing constraints imposed by various physical phenomena, both transient and steady-state. The digital reconstruction of holograms is computed in real-time, and numerical focusing capabilities allow for instantaneous retrieval of the optical phase at various working distances without the need of complex optical setups, making lensless digital holography well-suited for in-situ quantitative imaging under various types of environments. Current NDT capabilities are demonstrated, including high-resolution and real-time reconstructions, simultaneous measurements for comparative metrology, and practical applications ranging from vibrations and acoustics to thermo-mechanics. Furthermore, methodologies to enhance overall metrology capabilities are exploited, addressing the study of existing physical phenomena, thereby expanding the applicability of holographic techniques across diverse industrial sectors.

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“…In 2018, Ozana et al performed a vibration analysis utilizing a pulsed Doppler radar; however, they only presented a single-point analysis [20]. In contrast, Fu et al [21] in 2021, arranged 16 laser Doppler vibrometers (LDVs) in a line and conducted simultaneous measurements on a car body to obtain the distribution along the line, but failed to capture the distribution on the surface. Besides all these non-contact optical methods, researchers also used numerical methods for whole-surface vibration analysis of cars [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Vibration Distribution Measurement of Car Door and Engine Head Using OPPA Vibration Distribution Analyzer

2023

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In order to address the issue of vibration, it is crucial to accurately measure the vibration distribution. The authors previously developed the one-pitch phase analysis (OPPA) method, which allows for rapidly capturing the three-dimensional shape of a flat object. By integrating this method into a system, an OPPA vibration distribution measurement system was created, utilizing a line light source consisting of LEDs or optical fibers and also a high-speed camera to measure the vibrations of three-dimensional objects without physical contact. To further extend the application of the OPPA method to larger objects, such as cars, in this paper, a new system is introduced using a commercially available projector using a liquid crystal display (LCD) instead of a liner light source and a glass grating. This new system, which employs an ultra-short throw projector, is highly sensitive in displacement measurements and provides a wide-area analysis. These kinds of projectors produce noises at the frequency of the cooling fan and the refresh rate of the LCD. However, in this study, these noise sources were also examined. The capabilities of the new system are demonstrated through its application to the measurement of vibrations in a car door and an engine head. The measurement system and examples of its application are presented.

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Non-contact optical dynamic measurements at different ranges: a review

Cited by 20 publications

References 151 publications

Identification and classification of surface defects for digital twin models of the workpiece

Identification and classification of surface defects for digital twin models of the workpiece

High-resolution imaging for in-situ non-destructive testing by quantitative lensless digital holography

Vibration Distribution Measurement of Car Door and Engine Head Using OPPA Vibration Distribution Analyzer

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