A Thermal Management Model for Diesel Engines Based on Resistance-capacitance Theory

为提高柴油机的热管理水平,研究了柴油机部件之间热传递关系.采用流固耦合法和集总参数法,建立了一个柴油机的热阻-热容(rC)动态传热网络模型.该模型中各节点之间的热阻是关于柴油机部件的几何尺寸、材料属性和运行参数的函数,因此该热阻-热容模型可应用于其他相似的内燃机.以台架试验的柴油机为仿真对象,利用MATlAb中的龙格-库塔算法计算其传热模型的矩阵微分方程,预测了柴油机气缸套、气缸盖、活塞、冷却液、机油和废气的温度.为验证仿真结果,分别测量了柴油机的冷却液、机油和废气的温度,结果表明,仿真结果与实测数据变化趋势一致.Thermal behaviors of diesel-engine components are studied for enhancing thermal management levels.A concise resistance-capacitance(RC)model for diesel engines is presented based on liquid-solid coupled and lumped parameter theory.For each resistance,an expression as a function of diesel engines components geometry,material properties,and operational parameters is derived to make the model applicable to other similar engines.The matrix differential equation of diesel engines on the bench test is calculated by using the Runge-Kutta algorithm in MATLAB.Temperatures of the cylinder liner,cylinder head,piston,coolant,oil and gas are predicted in the model,and are measured to validate the simulation result.Computed conclusions agree well with experimental results in variation tendency.福建省科技厅工业高校产学合作重大项目(2014H6026

电针对抑郁症模型大鼠行为学、血浆COR及海马PKA、PKC表达的影响

目的:探讨针刺治疗抑郁症的作用机制。方法:将32只健康SD雄性大鼠随机分为正常组、模型组、电针组和马普替林组,后3组进行大鼠抑郁症造模。电针组于实验第2d起电针"百会""印堂""足三里""丰隆"穴,隔日1次;马普替林组于实验第2d起灌服盐酸马普替林,每日1次。3w后观察大鼠行为学以及血浆中皮质醇(COR)含量和海马区蛋白激酶A(PKA)、蛋白激酶C (PKC)表达的变化。结果:抑郁症模型大鼠体重增长缓慢,水平和垂直活动及糖水消耗量均明显减少;血浆COR浓度明显升高;海马区PKA、PKC蛋白表达明显减弱。电针组大鼠行为学得分、糖水消耗及体重增长与模型组比较无明显差异,但血浆COR浓度明显降低,且接近正常,并能有效地逆转抑郁大鼠海马PKA、PKC的阳性表达数量。马普替林组则能显著提高大鼠对糖水的消耗量、显著降低血浆COR,并明显提高PKA、PKC在海马区域的表达。结论:大鼠抑郁模型存在下丘脑一垂体一肾上腺轴(HPAA)的功能紊乱,电针可调节HPAA的功能指标,其作用机制可能是通过调节海马细胞信号转导通路相关酶的功能而实现的

~（19）F＋~（45）Sc深非弹反应产物的激发函数

测量了１０２ＭｅＶ到１０８ＭｅＶ（１９）Ｆ＋（４５）Ｓｃ反应在θ１＝２６°和θ１＝４２°的耗散部分产物的激发函数，能量步长３００ｋｅＶ，靶厚５３μｇ／ｃｍ２．用统计理论求得了各元素的能量相干宽度Γ，提取了反应的特征时间τ，探讨了耗散反应机制．Excitation functions have been measured for the dissipative reaction products at θl= 26° and θl= 42° in tEe 102 MeV to 108 MeV 19F8+ + 45Sc reactions by a step of 300 keV. The energy coherence widths and the dinuclear system lifetimes are extracted by analysing the cross section fluctuations. The dissipative reaction mechanisms are investigated.国家自然科学基

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

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 $p\to \bar\nu K^+$ 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 $p\to \bar\nu K^+$ 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 $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

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

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 $p\to \bar{\nu} K^+$ 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 $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies