Measurement techniques for complex surface based on a non-contact measuring machine

Xin, Meiting; Li, Bing; Li, Lei; Lan, Menghui; Wei, Xiang

doi:10.1007/s00170-022-09803-y

Cited by 3 publications

(2 citation statements)

References 15 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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“…Precision displacement measurement is widely used in practical production and processing [1]. The laser triangulation method is extensively employed in high-precision displacement measurement [2] and pose detection fields [3] due to its simple measurement principle, good measurement stability, high resolution of results, and non-contact operation [4]. As a monocular visual detection technology [5], traditional laser triangulation sensing measurement employs scattered light from the surface of detected objects in a single direction to create a measurement spot.…”

Section: Introductionmentioning

confidence: 99%

A Laser Triangulation Displacement Sensor Based on a Cylindrical Annular Reflector

Li,

Tao,

Zhao

2023

Photonics

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The ellipticity of the spot caused by laser jitter has a significant effect on the measurement accuracy of the traditional laser triangulation method. In order to overcome the influence of laser characteristics on measurement and improve the accuracy of displacement measurement, this paper proposes a measurement model for a laser displacement sensor based on a cylindrical annular reflector. A physical prototype is designed through parameter optimization using NSGA-II, and a two-step detection algorithm is proposed for the imaging ring of the prototype. The algorithm performs contour thinning after rough positioning of the imaging annular ring, and then performs precise detection. Through physical experiments, it is verified that the repeatability error of this method can reach below 0.02%, and the accuracy is significantly improved compared to traditional laser triangulation displacement sensors. Meanwhile, the measurement results of displacement show linearity. The optical path design of this sensor is simpler than the previously proposed rotational symmetrical laser triangulation displacement sensor, which has good application prospects.

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A technology framework for robotic profiling of blade edges based on model reconstruction and trajectory replanning

Tian

Zhuang

Zhu

2023

Journal of Manufacturing Processes

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Measurement techniques for complex surface based on a non-contact measuring machine

Cited by 3 publications

References 15 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

A Laser Triangulation Displacement Sensor Based on a Cylindrical Annular Reflector

A technology framework for robotic profiling of blade edges based on model reconstruction and trajectory replanning

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