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김창현,Qing Wang,수바레디,김희훈,조규봉,안주현,김기원,유호석,김영철,연순화,안효준 한양대학교 세라믹연구소 2015 Journal of Ceramic Processing Research Vol.16 No.2
A sulfur-polyacrylonitrile-carbon nanotube (SPANC) composite is prepared by mixing and heat treatment of sulfur, polyacrylonitrile, and carbon nanotubes, with a high sulfur content of 61.94 wt%. The electrochemical properties of a Li/ SPANC cell are investigated using 1,2-dimethoxyethan (ethylene glycol dimethyl ether, DME) and 1,3-dioxlane (ethylene glycol methylene ether, DOL) electrolytes. The Li/SPANC cell using the ether-based electrolytes shows high first discharge capacity of 1,037 mAh g−1 at a rate of 0.1 C. And at a high rate of 1 C, it presents excellent cyclability, yielding a first discharge capacity of 500 mAh g−1 and retaining 80% of this capacity at the 100th cycle.
A. K. Maurya,P. L. Narayana,Hong In Kim,수바레디 한국분말재료학회 2020 한국분말재료학회지 (KPMI) Vol.27 No.5
Predicting the quality of materials after they are subjected to plasma sintering is a challenging task because of the non-linear relationships between the process variables and mechanical properties. Furthermore, the variables governing the sintering process affect the microstructure and the mechanical properties of the final product. Therefore, an artificial neural network modeling was carried out to correlate the parameters of the spark plasma sintering process with the densification and hardness values of Ti-6Al-4V alloys dispersed with nano-sized TiN particles. The relative density (%), effective density (g/cm3), and hardness (HV) were estimated as functions of sintering temperature (oC), time (min), and composition (change in % TiN). A total of 20 datasets were collected from the open literature to develop the model. The high-level accuracy in model predictions (>80%) discloses the complex relationships among the sintering process variables, product quality, and mechanical performance. Further, the effect of sintering temperature, time, and TiN percentage on the density and hardness values were quantitatively estimated with the help of the developed model.