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      • KCI등재

        Effect of branched alumina on thermal conductivity of epoxy resin

        Yu Long,Lirui Shi,Qingyu Wang,Haitao Qu,Chuncheng Hao,Qingquan Lei 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.120 No.-

        Composites prepared by using epoxy resin (EP) as matrix had limited practical applications owing to theirpoor thermal conductivity. The thermal conductivity of composites can be enhanced by doping inorganicfillers. However, it could not be significantly enhanced owing to the saturation of inorganic fillers. In thisstudy, we prepared branched alumina (b-Al2O3) by using high-temperature sintering and doped it as afiller to obtain b-Al2O3/EP composites. The results shown that the thermal conductivity of the EP compositeswith 70 wt% b-Al2O3 was 1.13 Wm1K1, which was seven times higher than that of pure EP. Thiscould be attributed to the overlapping of b-Al2O3 for the formation of a continuous mesh structure thatresults in thermal conduction channels inside the EP, which reduced the interfacial thermal resistanceand improved the thermal conductivity of the composite. The resistivity of b-Al2O3/EP was 9.64 1014Xm and that of pure EP was 2.08 1014 Xm. The dielectric constant of the b-Al2O3/EP compositesincreased with the increase in b-Al2O3 content, while the dielectric loss factor decreases. This was significantfor the application of EP composites in the field of electrical insulation.

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        Research on Fitness Function of Two Evolution Algorithms Used for Neutron Spectrum Unfolding

        Li Rui,Yang Jianbo,Tuo Xianguo,Shi Rui 한국물리학회 2021 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.78 No.2

        When evolution algorithms are used to unfold the neutron energy spectrum, fitness function design is an important fundamental work for evaluating the quality of the solution, but it has not attracted much attention. In this work, we investigated the performance of eight fitness functions attached to the genetic algorithm (GA) and the differential evolution algorithm (DEA) used for unfolding four neutron spectra selected from the IAEA 403 report. Experiments show that the fitness functions with a maximum in the GA can limit the ability of the population to percept the fitness change, but the ability can be made up in the DEA. The fitness function with a feature penalty term helps to improve the performance of solutions, and the fitness function using the standard deviation and the Chi-squared result shows the balance between the algorithm and the spectra. The results also show that the DEA has good potential for neutron energy spectrum unfolding. The purposes of this work are to provide evidence for structuring and modifying the fitness functions and to suggest some genetic operations that should receive attention when using the fitness function to unfold neutron spectra.

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