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Now showing items 1 - 13 of 13

  • Distributed Stream Rebalance for Stateful Operator under Workload Variance

    Fang, Junhua   Zhang, Rong   Fu, Tom Z. J.   Zhang, Zhenjie   Zhou, Aoying   Zhou, Xiaofang  

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  • Distributed stream join under workload variance

    Fang, Junhua   Zhang, Rong   Wang, Xiaotong   Zhou, Aoying  

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  • Microbial Community Analysis in Two-Phase Anaerobic Reactor by PCR-Temperature Gradient Gel Electrophoresis

    Fang, Junhua   Zhang, Chu   Zhang, Maoshen   Cai, Pengcheng  

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  • Integrating workload balancing and fault tolerance in distributed stream processing system

    Fang, Junhua   Chao, Pingfu   Zhang, Rong   Zhou, Xiaofang  

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  • Influences of pilot injection and exhaust gas recirculation (EGR) on combustion and emissions in a HCCI-DI combustion engine

    Fang, Qiang   Fang, Junhua   Zhuang, Jian   Huang, Zhen  

    The HCCI-DI combustion mode was achieved in a heavy-duty diesel engine using the early pilot injection in the intake stroke and the main injection around compression top dead center (TDC). The effects of pilot injection quantity and EGR rate on HCCI-DI combustion and emissions were investigated. NOx emission has a dramatically decrease as the pilot injection quantity increases, but it is still in a high level that needs to be reduced. The smoke emission has a slight increase with the rise of pilot quantity, but it is always in a low level. The increasing HC and CO emissions can be easily removed by the diesel oxidation catalyst (DOC). The HCCI-DI combustion with low level of EGR is an effective method to reduce NOx emission further, and smoke emission increases as EGR rate increases, but it is in an acceptable level. The HCCI-DI combustion mode operating range is limited by the peak of cylinder pressure, the pressure rise rate and the cycle-to-cycle variations. There are optimal EGR rates and pilot quantities to achieve low NOx and low smoke emissions. (c) 2012 Published by Elsevier Ltd.
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  • In-cylinder thermochemical fuel reforming (TFR) in a spark-ignition natural gas engine

    Zhu, Lei   He, Zhuoyao   Xu, Zhen   Lu, Xingcai   Fang, Junhua   Zhang, Wugao   Huang, Zhen  

    This experimental study demonstrates the potential to apply the thermochemical fuel reforming (TFR) concept to simultaneously reduce emissions and improve brake specific fuel consumption in a spark-ignition natural gas engine. CH4, H-2 and CO are the major components of TFR exhaust gas over a range of rich equivalence ratios. A numerical analysis is conducted to illustrate the chemical reaction pathways for H-2 and CO formation, which occurs in the cylinder during the TFR process. The main reaction pathways for H-2 and CO formation under 3 modeling conditions (20%, 50% and 80% fuel consumed) are different from each other. According to the experimental analysis, thermochemical fuel reforming gas improves combustion performance and accelerates the burn rate in every phase of the natural gas engine. Combustion stability, brake thermal efficiency, brake specific fuel consumption (BSFC), brake specific hydrocarbon (BSHC) and brake specific carbon monoxide (BSCO) emissions can also be improved by TFR. The brake specific oxides of nitrogen (BSNOx) emissions for natural gas engines, combined with a TFR system, are still lower than those of an original natural gas engine in the same operation mode. Thermochemical fuel reforming has been shown to be effective in simultaneously reducing emissions and improving thermal efficiency for a spark-ignition natural gas engine. Furthermore, a 1.2 equivalence ratio for cylinder 4 (TFR cylinder) can be recommended in future research on TFR optimization, based on BSFC and combustion stability. (C) 2016 by The Combustion Institute. Published by Elsevier Inc.
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  • Shale gas reservoir characterisation: A typical case in the southern Sichuan Basin of China

    Chen, Shangbin   Zhu, Yanming   Wang, Hongyan   Liu, Honglin   Wei, Wei   Fang, Junhua  

    The Lower Silurian Longmaxi Formation is an organic-rich (black) mudrock that is widely considered to be a potential shale gas reservoir in the southern Sichuan Basin (the Yangtze plate) in Southwest China. A case study is presented to characterise the shale gas reservoir using a workflow to evaluate its characteristics. A typical characterisation of a gas shale reservoir was determined using basset sample analysis (geochemical, petrographical, mineralogical, and petrophysical) through a series of tests. The results show that the Lower Silurian Longmaxi Formation shale reservoir is characterised by organic geochemistry and mineralogical, petrophysical and gas adsorption. Analysis of the data demonstrates that the reservoir properties of the rock in this region are rich and that the bottom group of the Longmaxi Formation has the greatest potential for gas production due to higher thermal maturity, total organic carbon (TOC) enrichment, better porosity and improved fracture potential. These results will provide a basis for further evaluation of the hydrocarbon potential of the Longmaxi Formation shale in the Sichuan Basin and for identifying areas with exploration potential. (C) 2011 Elsevier Ltd. All rights reserved.
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  • Ring-polymer molecular dynamical benchmarks for X鈥�+鈥疕2 insertion reactions

    Wang, Han   Fang, Junhua   Yang, Hui   Song, Jianing   Li, Yongle  

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  • S2R-tree: a pivot-based indexing structure for semantic-aware spatial keyword search

    Chen, Xinyu   Xu, Jiajie   Zhou, Rui   Zhao, Pengpeng   Liu, Chengfei   Fang, Junhua   Zhao, Lei  

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  • An experimental study on combustion and particulate emissions characteristics on a dual-injection gasoline engine

    Chen, Wenhao   Xia, Chun   Zhu, Lei   Mao, Kerang   Tao, Jie   Fang, Junhua   Huang, Zhen  

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  • On workflow aware location-based service composition for personal trip planning

    Xu, Jiajie   Chen, Jing   Zhou, Rui   Fang, Junhua   Liu, Chengfei  

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  • Exploiting Aesthetic Features in Visual Contents for Movie Recommendation

    Chen, Xiaojie   Zhao, Pengpeng   Liu, Yanchi   Zhao, Lei   Fang, Junhua   Sheng, Victor S.   Cui, Zhiming  

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  • Inter-Basket and Intra-Basket Adaptive Attention Network for Next Basket Recommendation

    Che, Binbin   Zhao, Pengpeng   Fang, Junhua   Zhao, Lei   Sheng, Victor S.   Cui, Zhiming  

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