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Lei Lu,Jiang Han,Lian Xia,Cheng Fan,Haijun Liu,Shan Chen 한국정밀공학회 2023 International Journal of Precision Engineering and Vol.24 No.10
To improve the application of the parametric curve tool path in surface machining, a method for generating arc-length parameterized toolpaths based on short-line toolpaths is proposed. The method first uses commercial CAM software to plan the short-line tool path. Then, the machining tool path with smooth continuous features is extracted. The smooth and continuous features are determined according to the chord length of the short-line tool path, and the extraction method is based on Chebyshev’s inequality of large numbers. After obtaining the smooth short-line trajectory, the iterative arc-length parameterized curve toolpath generation method is used to fit the discrete short-line toolpath. In the iterative process, the B-spline toolpath with parameterized chord length is obtained first. It is discretized according to the arc length difference information of the chord length B-spline. Finally, by continuously checking and inserting B-spline nodes, and fitting according to discrete points, the arc-length parameterized B-spline tool path is obtained. The feasibility of the method is verified with a part containing a sculpted surface, and two smooth arc-length parametric toolpaths are generated. In the end, the part is machined with the arc-length parameterized curve tool path.
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Sheng Qi,Shanqiang Wang,Ye Chen,Kun Zhang,Xianyun Ai,Jinglun Li,Haijun Fan,Hui Zhao 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.1
An artificial neural network (ANN) that identifies radionuclides from low-count gamma spectra of a NaIscintillator is proposed. The ANN was trained and tested using simulated spectra. 14 target nuclides wereconsidered corresponding to the requisite radionuclide library of a radionuclide identification devicementioned in IEC 62327-2017. The network shows an average identification accuracy of 98.63% on thevalidation dataset, with the gross counts in each spectrum Nc ¼ 100~10000 and the signal to noise ratioSNR ¼ 0.05e1. Most of the false predictions come from nuclides with low branching ratio and/or similardecay energies. If the Nc>1000 and SNR>0.3, which is defined as the minimum identifiable condition, theaveraged identification accuracy is 99.87%. Even when the source and the detector are covered with leadbricks and the response function of the detector thus varies, the ANN which was trained using nonshieldingspectra still shows high accuracy as long as the minimum identifiable condition is satisfied. Among all the considered nuclides, only the identification accuracy of 235U is seriously affected by theshielding. Identification of other nuclides shows high accuracy even the shielding condition is changed,which indicates that the ANN has good generalization performance.
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Cathode interfacial layer-free all small-molecule solar cells with efficiency over 12%
Wu, Hao,Yue, Qihui,Zhou, Zichun,Chen, Shanshan,Zhang, Dongyang,Xu, Shengjie,Zhou, Huiqiong,Yang, Changduk,Fan, Haijun,Zhu, Xiaozhang The Royal Society of Chemistry 2019 Journal of materials chemistry. A, Materials for e Vol.7 No.26
<P>While nonfullerene small-molecule solar cells (NF-SMSCs) have relatively inferior performance compared with nonfullerene polymer solar cells, their performance is improving. In this work, a weak crystalline molecular donor BSFTR, was designed and synthesized to achieve efficient NF-SMSCs. By blending with a strong crystalline acceptor NBDTP-Fout, BSFTR achieves a well-intermixed blending morphology, which favors the formation of efficient charge percolation pathways with suppressed recombination. The BSFTR:NBDTP-Fout device obtains a power-conversion efficiency (PCE) of approximately 11.97% by achieving an efficient cathode interfacial layer (CIL)-free device that delivers an even higher PCE of 12.3%, which ranks among the top values for the reported NF-SMSCs. This work provides a simple solution for achieving high-performance NF-SMSCs by identifying the key factors for designing efficient, cost-saving, mass production-favorable CIL-free organic photovoltaic devices.</P>
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