Effect of the Reinforce Process on the Fatigue Fracture Properties of Aeronautical Polymethyl Methacrylate

Shang, Wei; Yang, Xiaojing; Ji, Xinglong; Liu, Zhongxian

doi:10.1155/2016/7126854

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…Bayati Farzaneh et al [4][5][6] proposed the use of ultrasonic detectors for denoising methodologies, and Hou et al [7][8][9][10] proposed the use of infrared technology for the tracking and detection of small targets. Shang et al [11,12] also used bright-field and dark-field illumination techniques to monitor surface defects on steel plates. Mou Shuxian [13] used LED light sources to design a complete system for detecting surface defects on rolled steel.…”

Section: Introductionmentioning

confidence: 99%

A Denoising Method for Multi-Noise on Steel Surface Detection

Chen,

Wang,

et al. 2023

Applied Sciences

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In order to solve the problem that steel surface defects are easily covered or submerged by other objects or noise, this paper proposes an open–closed transformation algorithm which can eliminate or weaken multiple noises. In the case of a small number of samples, this paper establishes a super-resolution generative adversarial neural network to achieve the enhancement of sample data. For avoiding unrealistic image defects caused by cuts or brightness variations, an enhancement method is given which incorporates the original defective high-frequency information into classical image fusion methods, such as rotation and error slicing. Experimental results show that the accuracy of the proposed denoising method reaches over 90%, which is more than 2.6% of that of the most primitive classification network. To compare with existing denoising methods, the denoising method proposed in this paper not only has higher accuracy, faster denoising speed, and stronger anti-interference ability, but also has better adaptation to the environment. This research will provide a new solution method for the denoising of multi-noise phenomena in multiple different environments.

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Section: Introductionmentioning

confidence: 99%

A Denoising Method for Multi-Noise on Steel Surface Detection

Chen,

Wang,

et al. 2023

Applied Sciences

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Digital photoelasticity: Recent developments and diverse applications

Ramesh

Sasikumar

2020

Optics and Lasers in Engineering

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Algorithm and its application for automatic measurement of the full-field isoclinic parameter by digital phase-shifting photoelasticity

Shang¹,

Li²,

Liu³

et al. 2022

Appl. Opt.

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The photoelastic method is an experimental technique that combines optics and mechanics for a stress analysis. The photoelastic phase-shifting technique is different from the moiré, holography, and speckle phase-shifting techniques, which only need to measure one parameter. The photoelastic phase-shifting technique needs to assess isoclinic and isochromatic parameters, which affect each other, seriously hindering the development of the phase-shifting photoelasticity method. First, the interaction between the isoclinic and isochromatic parameters is analyzed in detail. Secondly, an algorithm is proposed to adjust the mutation and obtain the correct isoclinic parameter affected by the isochromatic parameter. This method can effectively eliminate the influence of the isochromatic parameter. The isoclinic parameter is consistent with the theoretical value, which verifies the effectiveness of this method. Finally, the photoelastic method uses the proposed algorithm to test the stress at different positions of the turbine blade root. Moreover, the bearing capacity of the turbine blade root is analyzed to provide support for the safe use and optimization design of the turbine.

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Effect of the Reinforce Process on the Fatigue Fracture Properties of Aeronautical Polymethyl Methacrylate

Cited by 3 publications

References 19 publications

A Denoising Method for Multi-Noise on Steel Surface Detection

A Denoising Method for Multi-Noise on Steel Surface Detection

Digital photoelasticity: Recent developments and diverse applications

Algorithm and its application for automatic measurement of the full-field isoclinic parameter by digital phase-shifting photoelasticity

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