7 research outputs found

    纤维素单独成型及燃烧特性研究

    No full text
    以纤维素为成型原料,利用万能试验机进行纤维素成型试验,研究物料含水率、成型温度及成型压力对成型颗粒品质影响,利用扫描电镜观察纤维素成型颗粒内部结构,热重分析仪分析纤维素粉末及成型后颗粒燃烧特性。结果表明,一定范围内增加纤维素含水率、成型压力及成型温度,可提高颗粒品质,含水率为14%~29%、成型压力为3~4 k N、成型温度为100℃时效果最好;纤维素粉末及纤维素颗粒主要失重部分在挥发分燃烧阶段,纤维素成型后会升高燃烧反应起始温度,提高燃烧最大速度时温度。建立燃烧动力学模型,结果表明,纤维素活化能较低,且遵循动力学一级和二级规律

    Study on separate molding and burning characteristic of cellulose

    No full text
    Cellulose as the molding material, universal testing machine for cellulose forming experiment was carried out, the material moisture content, forming temperature and pressure on the quality of molding, cellulose internal structure was observed using scan

    JUNO Sensitivity on Proton Decay pνˉK+p\to \bar\nu K^+ Searches

    Get PDF
    The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in pνˉK+p\to \bar\nu K^+ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via pνˉK+p\to \bar\nu K^+ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is 9.6×10339.6 \times 10^{33} years, competitive with the current best limits on the proton lifetime in this channel

    JUNO sensitivity on proton decay pνK+p → νK^{+} searches

    No full text

    JUNO sensitivity on proton decay p → ν K + searches*

    No full text
    The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the pνˉK+ p\to \bar{\nu} K^+ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via pνˉK+ p\to \bar{\nu} K^+ is 36.9% ± 4.9% with a background level of 0.2±0.05(syst)±0.2\pm 0.05({\rm syst})\pm 0.2(stat) 0.2({\rm stat}) events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is 9.6×1033 9.6 \times 10^{33} years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies
    corecore