Curved Surface Reconstruction Based on Adaptive Machining of Leading and Trailing Edge of Blade

2020 ◽  
Author(s):  
Wenzhong Dou ◽  
Yue Ding ◽  
Shihong Xiao ◽  
Dongxia Li
Keyword(s):  
Surface Reconstruction ◽  
Curved Surface ◽  
Trailing Edge ◽  
Adaptive Machining

scholarly journals LETR: An End-to-End Detector of Reconstruction Area in Blade’s Adaptive Machining with Transformer

2022 ◽  
Author(s):  
Zikai Yin ◽  
Yonghou Liang ◽  
Junxue Ren ◽  
Jungang An ◽  
Famei He
Keyword(s):  
Activation Function ◽  
Aerodynamic Performance ◽  
Image Features ◽  
The Self ◽  
Test Results ◽  
Baseline Model ◽  
Trailing Edge ◽  
Reconstruction Process ◽  
Mixed Frequency ◽  
Adaptive Machining

In the leading/trailing edge’s adaptive machining of the near-net-shaped blade, a small portion of the theoretical part is retained for securing aerodynamic performance by manual work. However, this procedure is time-consuming and depends on the human experience. In this paper, we defined retained theoretical leading/trailing edge as the reconstruction area. To accelerate the reconstruction process, an anchor-free neural network model based on Transformer was proposed, named LETR (Leading/trailing Edge Transformer). LETR extracts image features from an aspect of mixed frequency and channel domain. We also integrated LETR with the newest meta-Acon activation function. We tested our model on the self-made dataset LDEG2021 on a single GPU and got an mAP of 91.9\%, which surpassed our baseline model, Deformable DETR by 1.1\%. Furthermore, we modified LETR’s convolution layer and named the new model after GLETR (Ghost Leading/trailing Edge Transformer) as a lightweight model for real-time detection. It is proved that GLETR has fewer weight parameters and converges faster than LETR with an acceptable decrease in mAP (0.1\%) by test results.

Surface Reconstruction of Stamping Parts Based on Binocular Stereo Vision

2013 ◽  
Vol 415 ◽  
pp. 314-317
Author(s):  
Hui Yu Xiang ◽  
Baoan Han ◽  
Jia Jun Huang ◽  
Zhe Li
Keyword(s):  
3D Reconstruction ◽  
Surface Reconstruction ◽  
Stereo Vision ◽  
Curved Surface ◽  
Feature Points ◽  
Scatter Diagram ◽  
Binocular Stereo Vision ◽  
Binocular Stereo ◽  
3D Information

In order to realize the 3D reconstruction of stamping parts surface, this paper based on binocular stereo vision principle firstly introduces the model of the binocular cameras. Internal and external parameters of camera can be obtained by binocular calibration, taking the printed circle grid centers which are on the stamping parts as feature points, and then using the disparity image obtained by HALCON to reconstruct 3D information of the feature points. Finally, use Matlab to plot out the scatter diagram of feature points and the fitting curved surface diagram.

Fermi-surface reconstruction close to a pressure-induced metal-insulator transition

2004 ◽  
Vol 114 ◽  
pp. 277-281 ◽  
Author(s):  
J. Wosnitza ◽  
J. Hagel ◽  
O. Stockert ◽  
C. Pfleiderer ◽  
J. A. Schlueter ◽  
...  
Keyword(s):  
Fermi Surface ◽  
Surface Reconstruction ◽  
Insulator Transition ◽  
Metal Insulator Transition ◽  
Metal Insulator ◽  
Fermi Surface Reconstruction
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