http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Enrichment of valuable elements from vanadium slag using superconducting HGMS technology
He, Sai,Yang, Chang-qiao,Li, Su-qin,Zhang, Chang-quan The Korea Institute of Applied Superconductivity a 2017 한국초전도저온공학회논문지 Vol.19 No.1
Vanadium slags is a kind of vanadiferous solid waste from steelmaking process. It not only occupies land, pollutes environment, but also leads to waste of resources. Based on the difference of magnetic susceptibility of different particles caused by their chemical and physical properties from vanadium slag, a new technology, superconducting high gradient magnetic separation was investigated for separation and extraction of valuable substances from vanadium slag. The magnetic concentrate was obtained under optimal parameters, i.e., a particle size -200 mesh, a magnetic flux density of 0.8 T, a slurry concentration of 5 g/L, an amount of steel wools of 25 g and a slurry flow velocity of 2 L/min. The content of $Fe_2O_3$ in concentrate could be increased from 39.6% to 55.0% and $V_2O_5$ from 2.5% to 4.0%, respectively. The recovery rate is up to 42.9%, and the vanadium slag has been effectively reused.
Nanocomposites of Polypropylene and Halloysite Nanotubes Prepared by a Novel Vane Mixer
Xiaochun Yin,Sai Li,Liang Wang,Guangjian He,Zhitao Yang 한국고분자학회 2017 폴리머 Vol.41 No.2
Halloysite nanotubes (HNTs) were used to prepare polypropylene (PP) nanocomposites through a novel vane mixer. The effects of melt blend time and halloysite content on properties of composites were investigated. SEM analysis was performed to show that HNTs were well dispersed in PP matrix with the increase of mixing time. DSC showed both the degree of crystallinity and crystallization temperature increased due to the introduction of HNTs into PP, which indicating a potential nucleation effect induced by the nanotubes. TGA illustrated that the presence of HNTs had two opposite effects on the thermal behavior. A surface catalytic action of the halloysite speeded up thermal degradation of PP. However, this effect was reduced with improved HNTs dispersion. Rheological investigations revealed that rheological properties were significantly increased by the addition of low fraction of halloysite to PP. The 2 wt% HNTs nanocomposites reached maximum tensile strength because HNTs dispersed evenly in PP.
Kun Zhang,Xinyu Huang,Sai He,Kangyao Deng,Yi Cui,Aiqiang Luo 대한기계학회 2016 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.30 No.6
For turbocharging engines, the structure of the exhaust system directly affects the flow and energy transfer process of the exhaust gas, which has a big influence on the turbocharger performance. To evaluate the performance of various kinds of exhaust systems, two indicators, “available energy loss coefficient” and “pressure wave interference coefficient”, are proposed to evaluate the steady flow loss and transient flow anti-interference characteristics. Two kinds of exhaust system modular, Modular pulse converter (MPC) and Modular multi-purpose pulse converter (MMPC), are analyzed and compared by the three-dimensional calculation. The results show that the MMPC structure has a smaller available energy loss and a better anti-interference performance in the exhaust process. To solve the problems of scavenging interferences and exhaust temperature discrepancy on a highly boosted 8-cylinder marine diesel engine, a Hybrid modular exhaust (HME) system is proposed. Effects of MMPC, HME and MIXPC (Mixed pulse converter) on the engine performance are compared by one-dimensional simulation. This is followed by an engine test for performance comparison between MMPC and HME, which shows that the HME system can effectively relieve the problems of scavenging interference, and the maximum exhaust temperature discrepancy of all cylinders is reduced from 60°C to 31°C under the rated condition.
Using Non-Local Features to Improve Named Entity Recognition Recall
( Xin Nian Mao ),( Wei Xu ),( Yuan Dong ),( Sai Ke He ),( Hai La Wang ) 한국언어정보학회 2007 학술대회 논문집 Vol.2007 No.-
Named Entity Recognition (NER) is always limited by its lower recall resulting from the asymmetric data distribution where the NONE class dominates the entity classes. This paper presents an approach that exploits non-local information to improve the NER recall. Several kinds of non-local features encoding entity token occurrence, entity boundary and entity class are explored under Conditional Random Fields (CRFs) framework. Experiments on SIGHAN 2006 MSRA (CityU) corpus indicate that non-local features can effectively enhance the recall of the state-of-the-art NER systems. Incorporating the non-local features into the NER systems using local features alone, our best system achieves a 23.56% (25.26%) relative error reduction on the recall and 17.10% (11.36%) relative error reduction on the F1 score; the improved F1 score 89.38% (90.09%) is significantly superior to the best NER system with F1 of 86.51% (89.03%) participated in the closed track.