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Institution

Shanghai Aircraft Design and Research Institute

About: Shanghai Aircraft Design and Research Institute is a based out in . It is known for research contribution in the topics: Airfoil & Cockpit. The organization has 733 authors who have published 494 publications receiving 2295 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a new Johnson-Cook (JC) constitutive model of 7075-T6 aluminum alloy was obtained by modifying the strain rate hardening term in the Johnson-Coughlin model.

182 citations

Journal ArticleDOI
TL;DR: In this paper, laser peen texturing (LPT) was proposed to fabricate micro-dimple arrays on copper surface and it was found that the performance of the surface is improved significantly after LPT.

102 citations

Journal ArticleDOI
TL;DR: A novel short-term wind power forecasting methodology consists of a hybrid clustering method and a wavelet based neural network that can identify the similar time series and improve the predicting accuracy effectively, compared with some other forecasting models.

85 citations

Journal ArticleDOI
04 Feb 2019-Sensors
TL;DR: Experimental results demonstrate that automatic inspection system can effectively reduce false detection of pseudo-defects produced by image noise and achieve accuracies of 95.6% in dent defects and 97.1% in scratch defects, which is suitable for customs inspection of imported vehicles.
Abstract: Automobile surface defects like scratches or dents occur during the process of manufacturing and cross-border transportation. This will affect consumers’ first impression and the service life of the car itself. In most worldwide automobile industries, the inspection process is mainly performed by human vision, which is unstable and insufficient. The combination of artificial intelligence and the automobile industry shows promise nowadays. However, it is a challenge to inspect such defects in a computer system because of imbalanced illumination, specular highlight reflection, various reflection modes and limited defect features. This paper presents the design and implementation of a novel automatic inspection system (AIS) for automobile surface defects which are the located in or close to style lines, edges and handles. The system consists of image acquisition and image processing devices, operating in a closed environment and noncontact way with four LED light sources. Specifically, we use five plane-array Charge Coupled Device (CCD) cameras to collect images of the five sides of the automobile synchronously. Then the AIS extracts candidate defect regions from the vehicle body image by a multi-scale Hessian matrix fusion method. Finally, candidate defect regions are classified into pseudo-defects, dents and scratches by feature extraction (shape, size, statistics and divergence features) and a support vector machine algorithm. Experimental results demonstrate that automatic inspection system can effectively reduce false detection of pseudo-defects produced by image noise and achieve accuracies of 95.6% in dent defects and 97.1% in scratch defects, which is suitable for customs inspection of imported vehicles.

75 citations

Journal ArticleDOI
TL;DR: In this paper, the microstructural and mechanical properties of 2060 Al-Cu-Li alloy and its sound friction stir joints were investigated, where the base materials present large pan-cake grains whereas the nugget zone of friction stir weld exhibits fine grain structure.

71 citations


Authors

Showing all 733 results

NameH-indexPapersCitations
Min Zhang271252516
Mingwei Li1329504
Shaojie Zhang1380617
Qing Li917259
Jian-Bin Zhou810203
Junfeng Ge719299
Cyrille Breard713113
Weibin Gu69367
Xiaoquan Yang613106
Lei Tingwan51384
Zhang Lanxin5587
Zi-Bo Wei5878
Yi Lu5588
Jie Wang44205
Lin Guozheng4837
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20226
202193
202075
201953
201853
201726