Detection method of manufacturing defects on aircraft surface based on fringe projection

Xia, Renbo; Zhao, Jibin; Zhang, Tianyu; Su, Run; Chen, Yueling; Fu, Shengpeng

doi:10.1016/j.ijleo.2020.164332

Cited by 36 publications

(8 citation statements)

References 18 publications

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“…Visual inspection system for surface manufacturing is an efficient and accurate method for surface defect detection and model reconstruction [13]. In this work, the impact surfaces are detected by three-dimensional hand-held scanner with 1mm step size.…”

Section: Measurement Methodsmentioning

confidence: 99%

Improving Mechanical Property and Microstucture Evolution of 7075 Aluminum Panel Formed by Unequal Alternate Double-sided Laser Shock Forming

Yang¹,

Qiao²,

Lu³

et al. 2021

Preprint

Self Cite

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With thrust weight ratio increasing, integral panel is an important component to reduce the aircraft weight, and it is a great challenges to ensure the forming accuracy and mechanical property in the lager-scale panel. Laser shock forming has a great development prospect in achieving integral panel forming and improving its mechanical properties. This work investigated unequal alternate double-sided laser shock forming, which can make 7075 aluminum panel form and induce harden layer in both panel sides. The improvement in mechanical properties and microstucture evolution of 7074 aluminum panel were analyzed after unequal alternate double-sided laser shock forming. The residual stress and microhardness in surface and subsurface were verified to be enhanced by the laser shock wave. The results of XRD and EBSD provided an evidence of grain refinement. The strengthening mechanism of unequal alternate double-sided laser shock forming was analyzed in this work. The grains are distorted and refined during high strain rate plastic deformation due to dislocation slip and accumulation. The mechanical properties were enhanced by unequal alternate double-sided laser shock forming for harden layers in both panel sides. The harden layers and grain refinement has a great significance in inhibiting the crack generation and growth.

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Section: Measurement Methodsmentioning

confidence: 99%

Improving Mechanical Property and Microstucture Evolution of 7075 Aluminum Panel Formed by Unequal Alternate Double-sided Laser Shock Forming

Yang¹,

Qiao²,

Lu³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…The high stealth, ultra-high speed and pulsating production mode of the new generation of fighter aircrafts promote the rapid development of the techniques in aircraft manufacturing industry towards high precision, high efficiency and high intelligence [2][3][4][5][6][7]. Among them, the three-dimensional shape detection of aircraft surface is a key link in the aircraft manufacturing process [8]. The geometric shape of an aircraft directly determines the key indicators such as stealth and aerodynamics of the aircraft.…”

Section: Introductionmentioning

confidence: 99%

Application of auto-focus technique in accurate 3D detection of aircraft surface

Liu¹,

Zhu²,

Chen³

et al. 2023

Ninth Symposium on Novel Photoelectronic Detection Technology and Applications

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“…In civil aircraft, composite materials comprise approximately 25% and 12% of Boeing 737 and C919 aircraft, respectively. Composite materials in the military aircraft F-22 account for approximately 24% [3]. As the earliest structure adopted by modern aircraft, metal materials have high strength and strong reliability.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Defect Characterization of Ultrasonic Detection Based on GCNet Improved Contrast Learning Optimization

Wang,

Zhang

et al. 2023

Electronics

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In order to automate defect detection with few samples using unsupervised learning, this paper, considering materials commonly used in aircraft, proposes a phased array ultrasonic detection defect identification method using non-defect samples for training, and three-dimensional characterization is completed on this basis. A phased array ultrasonic device was used to detect two typical structures: a carbon fiber composite cylinder structure and a metal L-shaped structure. No damage label image was required, and the non-damaged sample was used as the the network training input. Based on contrast learning and the cross-registration loss of common features, a feature-matching network was constructed to extract the common features of undamaged detection data, and the performance was optimized by combining STN and GCNet modules. When the detection data of the sample were input to the aforementioned network, the defect distribution representing the location and rough shape of the defect was obtained through Mahalanobis distance calculation. The length was estimated using the S-scan image sequence sampling method. Additionally, the depth of the hole was estimated by combining the B-scan data with line recognition. According to the original model of the sample, the 3D characterization of defects was completed by pyautocad. In the experimental stage, three ablation experiments were carried out to verify the necessity of each module, and performance comparisons were mainly evaluated by F1 score and visualization using four existing well-known anomaly detection methods.

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Detection method of manufacturing defects on aircraft surface based on fringe projection

Cited by 36 publications

References 18 publications

Improving Mechanical Property and Microstucture Evolution of 7075 Aluminum Panel Formed by Unequal Alternate Double-sided Laser Shock Forming

Improving Mechanical Property and Microstucture Evolution of 7075 Aluminum Panel Formed by Unequal Alternate Double-sided Laser Shock Forming

Application of auto-focus technique in accurate 3D detection of aircraft surface

Three-Dimensional Defect Characterization of Ultrasonic Detection Based on GCNet Improved Contrast Learning Optimization

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