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RISS 인기검색어
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- 저자 : Tielin Wang (검색결과 5 건)
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Effect of lead sulfate on chloride ion transport properties in cementitious material
Xianfeng Wang,Yabin Yuan,Yingxin Huang,Tielin Han,Weilun Wang,Jian Liu,Feng Xing 한양대학교 세라믹연구소 2019 Journal of Ceramic Processing Research Vol.20 No.S1
A novel microcapsule-based self-healing system was developed in Guangdong Key Laboratory of Durability in Coastal CivilEngineering to prolong the concrete service life, in which lead sulfate is used as the shell material of the microcapsules. Theself-healing system is triggered by the reaction of lead sulfate with chloride ion. In this study, the effect of lead sulfate onchloride ion transport in cement-based materials was investigated. The bulk diffusion and rapid chloride migration tests werecarried out. The time dependence of chloride diffusion was analysed based on the results of the Bulk diffusion test. The changein the microstructure of cement-based materials upon incorporation of lead sulfate was observed and analysed via mercuryintrusion porosimetry and scanning electron microscopy. Results showed that chloride-binding was prevalent at an immersionperiod of less than 90 days, while sulfate attack superseded after 90 days. Therefore, the impact of both factors needs to beconsidered when utilizing lead sulfate as a shell material in cementitious materials.
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Qingyu Zhang,Xiaoling Duan,Siyi Tang,Cunwen Wang,Weiguo Wang,Weiliang Feng,Tielin Wang 대한환경공학회 2023 Environmental Engineering Research Vol.28 No.1
In this study, a series of acid-base bi-functional catalysts were prepared by mixing different amounts of basic amino acids (AAs) and phosphotungstic acid (PTA), which exhibited the excellent performance in catalyzing conversion of oleic acid (OA) for the biodiesel production. The physicochemical properties of the catalysts were characterized and analyzed using modern testing techniques and characterization methods such as XRD, FT-IR, XPS, SEM, TEM, and Hammett titration. The various influence parameters were optimized using the central composite design based the response surface methodology, where the maximum biodiesel yield of 97.0% was achieved at the MeOH/OA molar ratio of 5.9, the catalyst loading of 8%, reaction time of 6 h, and reaction temperature of 65℃. Furthermore, the stability and reusability of the prepared catalyst were also demonstrated. At last, the possible catalytic mechanism of the prepared catalyst was comprehensively described.
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Tielin Han,Xianfeng Wang,Dawang Li,Ningxu Han,Dongfeng Li,Feng Xing 한양대학교 세라믹연구소 2019 Journal of Ceramic Processing Research Vol.20 No.S1
The effects of different dosages of microcapsules, proportion of prepressing stress and curing days on the mechanicalproperties, pore structure and healing efficiency of the specimens were studied through uniaxial compression test and mercuryintrusion porosimetry (MIP) test. The results indicate that the uniaxial strength of the specimens decreased to a certain extentwith an increase of dosage of the microcapsules. Meanwhile, the pore structure parameters (pore volume; porosity; criticalpore size; capillary porosity), as well as the self-healing rate and recovery rate of the mechanical properties increased withincreasing the dosage of microcapsules. The microcapsules have a significant influence on the deformation characteristics ofthe specimens and may improve the brittleness characteristics and strengthen the ductility of the ordinary concrete.
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A Study on Multivariable Optimization in Precision Manufacturing Using MOPSONNS
Zhaopeng He,Tielin Shi,Jianping Xuan,Su Jiang,Yinfeng Wang 한국정밀공학회 2020 International Journal of Precision Engineering and Vol.21 No.11
7075 aluminum alloy has been widely applied in the field of aerospace and marine sheet metal because of its protruding mechanical and corrosion resistance. In this paper, the problem of selecting optimal process parameters to optimize multiple processing variables had been studied in precision manufacturing. Multi-objective particle swarm optimized neural networks system was put forward to determine the optimal cutting conditions with multi-objective particle swarm algorithm and multiple neural networks as prediction models of machining variables. Precision parts manufacturing of 7075 aluminum alloy would go through two operations of material removal and surface forming. Firstly, optimal cutting conditions were determined to minimize tool wear while maximizing metal removal rate in material removal stage. Secondly, it was significant and meaningful to select optimal cutting conditions corresponding to the best surface quality and minimum root mean square of tool vibration in surface forming stage. Orthogonal experiments had been carried out to observe the relationship between machining-related variables and cutting parameters in detail. Multiple neural networks were trained to establish predictive models of cutting process from orthogonal experimental and statistical data. Maximum deviation theory sorted the Pareto solutions searched by optimization process of neural networks driven by multi-objective particle swarm algorithm. The top ranking Pareto solutions had been determined as the optimal cutting parameters combination for material removal and surface forming stages, respectively. Finally, the proposed optimization system can also be used to optimize the processing of other difficult-to-machine materials.
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Zhen He,Tingting Dong,Wen Chen,Tielin Wang,Haifeng Gan,LiangJun Li 한국식물병리학회 2020 Plant Pathology Journal Vol.36 No.6
Lotus is one of the most important aquatic vegetables in China. Previously, we detected sweet potato latent virus from lotus (SPLV-lotus) and found that it has highly significant sequence diversity with SPLV-sweet potato isolates (SPLV-sp). Here, we developed serological methods for the detection of SPLV-lotus in Chinese lotus cultivation areas. Based on the high sensitivity of SPLV-lotus coat protein antiserum, rapid, sensitive and large-scale diagnosis methods of enzyme-linked immunosorbent assay (ELISA) and dot blot in lotus planting area were developed. The established ELISA and dot blot diagnostic methods can be used to detect SPLVlotus from samples successfully. And our results also showed that the SPLV-lotus and sweet potato isolates appeared clearly distinction in serology. Our study provides a high-throughput, sensitive, and rapid diagnostic method based on serology that can detect SPLV on lotus, which is suggested to be included in viral disease management approach due to its good detection level.
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