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- 저자 : Qicheng Wang (검색결과 3 건)
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Dissolution Kinetics of Cerussite in Acidic Sodium Chloride Solutions
Qicheng Feng,Shuming Wen,Yijie Wang,Wenjuan Zhao,Jian Liu 대한화학회 2015 Bulletin of the Korean Chemical Society Vol.36 No.4
The dissolution kinetics of cerussite in acidic sodium chloride solutions was investigated with respect to experimental variables such as particle size, stirring speed, sodium chloride concentration, hydrochloric acid concentration, and reaction temperature. Results show that leaching reagent concentration and reaction temperature have significant effects on the extraction of lead, whereas particle size and stirring speed have a relatively moderate effect on the leaching rate. The dissolution process followed the kinetic law of the shrinking core model, and a corresponding mixed control model was found suitable to represent the rate-controlling step. The apparent activation energy of this process was determined to be 40.46 kJ/mol, and a corresponding dissolution kinetic equation is also presented to describe the dissolution reaction.
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Research on Multipath Virtual Network Mapping Based on Spatial and Temporal Correlation
Min Zhang,Xijie Tang,Ming Jiang,Qicheng Wang 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.11
Network virtualization is an important technology that allows multiple heterogeneous networks running simultaneously share substrate network, it can effectively solve the problem of network ossification. Earlier research has made many heuristic algorithms, but it does not consider the time factor in the embedding process, existing algorithm often make decision according to the present available substrate network resource. This paper, we first explore the time and space of the two dimensional network model, form the perspective of the two-dimensional space-time, we proposed two-dimensional discrete weighted method and multi commodity flow virtual network embedding with time-varying model. We also proposed a virtual network algorithm based on space–time. The simulation result show that the proposed algorithm can effectively utilize the network resources and make substrate network resources maintain the load balance for a long term.
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Yongjie Li,Qiang Fu,Hongyun Qin,Kun Yang,Junnan Lv,Qicheng Zhang,Zhang Hui,Feng Liu,Xia Chen,Ming Wang 한국화학공학회 2021 Korean Journal of Chemical Engineering Vol.38 No.10
With the intensity of resource scarcities and environmental problems, the disposal and recovery of spent lithium-ion batteries, especially recovery of valuable metals, becomes vital. In this work, a method of co-extracting nickel, cobalt, manganese and being separated from lithium by single-stage solvent extraction is proposed. The extraction and separation process of D2EHPA was studied. The effects of extractant concentration, saponification percentage, extraction time and O:A on the extraction efficiency of D2EHPA were systematically studied. Nearly 100% manganese, 94% cobalt and about 90% nickel were co-extracted and separated from lithium using D2EHPA in kerosene by single-stage extraction. The maximum value of separation factors (Ni/Li, Co/Li and Mn/Li) was 13.03, 23.42 and 1904.24. The mathematical model of extraction of four ions was developed by combination of Levenberg-Marquardt method and Universal Global Optimization method. The proposed extraction model accurately fits the experimental data and helps to predict the extraction efficiency of each metal under the corresponding conditions.
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