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- 저자 : Jinchen Chen (검색결과 4 건)
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Ziqiang Xu,Jinchen Chen,Mengqiang Wu,Cheng Chen,Yaochen Song,Yuesheng Wang 대한금속·재료학회 2019 ELECTRONIC MATERIALS LETTERS Vol.15 No.4
Hard carbon is deemed to be a most promising anode materials for sodium—ion batteries (SIBs), while, the issues of lowcapacity and low initial coulombic efficiency still exist limiting the development of SIBs. Although high temperature carbonizationof biomass materials under nitrogen or argon atmosphere is a common method for preparation of hard carbon,there are few reports about the effects of different protective atmospheres on propriety of hard carbon. In this article, hornet’snest (HN) is used to prepare hard carbon under nitrogen and argon. At a suitable carbonization temperature (1200 °C and1400 °C), the hard carbon under argon possesses lower specific surface area (25–50 cm−3 g−1), but higher initial coulombefficiency (4–6%) and higher capacity retention (3–6%). Thus, it is inferred that high—performance hard carbon can beobtained under argon atmosphere. Our research about the effect of sintering atmosphere on material properties is expectedto provide a reference for the synthetization of hard carbon by high temperature carbonization.
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Jin Chen,Qian Chen,Bo Hu,Yunji Wang,Jinlin Song 대한치주과학회 2016 Journal of Periodontal & Implant Science Vol.46 No.6
Purpose: Alendronate has been proposed as a local and systemic drug treatment used as an adjunct to scaling and root planing (SRP) for the treatment of periodontitis. However, its effectiveness has yet to be conclusively established. The purpose of the present meta-analysis was to assess the effectiveness of SRP with alendronate on periodontitis compared to SRP alone. Methods: Five electronic databases were used by 2 independent reviewers to identify relevant articles from the earliest records up to September 2016. Randomized controlled trials (RCTs) comparing SRP with alendronate to SRP with placebo in the treatment of periodontitis were included. The outcome measures were changes in bone defect fill, probing depth (PD), and clinical attachment level (CAL) from baseline to 6 months. A fixed-effect or random-effect model was used to pool the extracted data, as appropriate. Mean differences (MDs) with 95% confidence intervals (CIs) were calculated. Heterogeneity was assessed using the Cochrane χ2 and I2 tests. Results: After the selection process, 8 articles were included in the meta-analysis. Compared with SRP alone, the adjunctive mean benefits of locally delivered alendronate were 38.25% for bone defect fill increase (95% CI=33.05%–43.45%; P<0.001; I2=94.0%), 2.29 mm for PD reduction (95% CI=2.07–2.52 mm; P<0.001; I2=0.0%) and 1.92 mm for CAL gain (95% CI=1.55–2.30 mm; P<0.001; I2=66.0%). In addition, systemically administered alendronate with SRP significantly reduced PD by 0.36 mm (95% CI=0.18–0.55 mm; P<0.001; I2=0.0%) and increased CAL by 0.39 mm (95% CI=0.11–0.68 mm; P=0.006; I2=6.0%). Conclusions: The collective evidence regarding the adjunctive use of alendronate locally and systemically with SRP indicates that the combined treatment can improve the efficacy of non-surgical periodontal therapy on increasing CAL and bone defect fill and reducing PD. However, precautions must be exercised in interpreting these results, and multicenter studies evaluating this specific application should be carried out.
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Mechanism optimal design of backhoe hydraulic excavator working device based on digging paths
Jin Chen,Fei Qing,Xiaoping Pang 대한기계학회 2014 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.28 No.1
In order to solve the problem that hydraulic excavator in the real working process cannot meet the design requirements and reveals insufficientdigging force, a new method on mechanism optimal design of backhoe hydraulic excavator working device based on diggingpaths is introduced and discussed in this paper. Considering the characteristics of consecutive digging process of hydraulic excavator, adigging path is composed of bucket digging trajectories and arm digging trajectories. The feasible working region is divided into a seriesof uniform paths according to the working position of boom. The practical digging performance of excavator is evaluated based on thedigging force parameters under combined work condition of the discrete points on the digging paths. It is turned out that the method ismore accurate to analyze excavator's real-world digging performance via the analysis of some practical cases. Based on the new diggingperformance analysis method, the optimization mathematical model is built to ensure the digging force under combined work conditionand the average digging force of every operating path as big as possible. The layout design of hinge position on the working device isoptimized through genetic algorithm. The optimization result shows that a certain model of an excavator's maximum digging force on thecustomary digging paths is improved by 10% and the average digging force is improved by 4% after the optimization on the workingdevice of the excavator with weak digging force.
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