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Dazhi Wang,Di Zheng,Shuo Li,Zhao Li,Bingxue Liang,Yongliang Ni Korean Magnetics Society 2018 Journal of Magnetics Vol.23 No.4
In this paper, a precise electromagnetic–thermal model of axial-flux permanent magnet (PM) eddy current couplers is proposed to calculate the eddy current loss and predict the copper plate node temperature. With subloop calculation method, the quasi 3-D electromagnetic field analytical model is established in cylindrical coordinate. Based on the electromagnetic field analytical model, magnetic field distribution, eddy current losses of PM, copper plate and copper back iron are analyzed under various loads. The eddy current loss of each loop in the copper plate is calculated, at the rated slip speed. Then, the thermal resistance network is carried out, in which the previously obtained eddy current losses are heat sources for calculating the copper plate node temperature. In the thermal study, the influence of various loads on copper plate node temperature rise is analyzed. Finally, the analytical predicted results are compared with the results of finite element method and measurement. The comparison results confirm the validity of the electromagnetic–thermal model.
Single Low-Light Ghost-Free Image Enhancement via Deep Retinex Model
( Yan Liu ),( Bingxue Lv ),( Jingwen Wang ),( Wei Huang ),( Tiantian Qiu ),( Yunzhong Chen ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.5
Low-light image enhancement is a key technique to overcome the quality degradation of photos taken under scotopic vision illumination conditions. The degradation includes low brightness, low contrast, and outstanding noise, which would seriously affect the vision of the human eye recognition ability and subsequent image processing. In this paper, we propose an approach based on deep learning and Retinex theory to enhance the low-light image, which includes image decomposition, illumination prediction, image reconstruction, and image optimization. The first three parts can reconstruct the enhanced image that suffers from low-resolution. To reduce the noise of the enhanced image and improve the image quality, a super-resolution algorithm based on the Laplacian pyramid network is introduced to optimize the image. The Laplacian pyramid network can improve the resolution of the enhanced image through multiple feature extraction and deconvolution operations. Furthermore, a combination loss function is explored in the network training stage to improve the efficiency of the algorithm. Extensive experiments and comprehensive evaluations demonstrate the strength of the proposed method, the result is closer to the real-world scene in lightness, color, and details. Besides, experiments also demonstrate that the proposed method with the single low-light image can achieve the same effect as multi-exposure image fusion algorithm and no ghost is introduced.
Biao Hu,Gaoshen Cai,Jinlian Deng,Kai Peng,Bingxu Wang 대한금속·재료학회 2024 METALS AND MATERIALS International Vol.30 No.1
To investigate the thermodynamic behavior of thin-walled parts fabricated by selective laser melting, an indirect sequentiallycoupled thermal–mechanical numerical modeling was developed. The three-dimensional Gaussian attenuation bodyheat source model and thermophysical parameters varying with temperature were considered. To validate the numericalmodel, the thin-walled part was manufactured by selective laser melting, and the experiment results were compared with thesimulation results. It is found that the variation trend of residual stress in simulation and experiment is in good agreement. Moreover, The microstructure and mechanical properties of the thin-walled parts were analyzed. The simulation resultsshow that the thermal conductivity and the heat accumulation have a critical influence on the evolution of the molten pooland cooling rate. The thermal stress along the laser scanning direction is larger than the other two directions, and the highstressarea is mainly distributed in the middle position of the part and the joint of the part and the substrate. Besides that, theX-component of stress of the top layer gradually decreases as the deposition layer increases. The experiment results showthat the microstructure of thin-walled parts is mainly composed of acicular martensite under the action of complex thermalcycle. The fracture mode of thin-walled parts show a typical quasi-brittle fracture.