Experiments were conducted to investigate the dynamics of an oscillating bubble generated by a spark in the presence of an inclined attached air bubble.The study primarily focused on the influence of the inclination a...Experiments were conducted to investigate the dynamics of an oscillating bubble generated by a spark in the presence of an inclined attached air bubble.The study primarily focused on the influence of the inclination angle on the behavior of bubble jetting orientation,air bubble shape modes,and motion characteristics of the interaction between the two bubbles.Various complex bubble jetting behaviors were observed,including the presence of multiple types of bubble jetting directions,bubble splitting,and multidirectional jets.Four types of air bubble shapes were defined,namely inclined cup cover-shaped(with and without splitting),double-peaked cup cover-shaped,and inclined L-shaped air bubbles.The formation of different types of bubble jets was analyzed using the vector synthesis principle of the Bjerknes force exerted by the inclined attached air bubble and a steel plate.To describe the diverse orientations of bubble jetting and air bubble shapes,new parameters namely the dimensionless spark bubble oscillation time T^(*)and volume ratio V^(*)that consider the inclination angle are proposed.The findings of this investigation contribute to the existing knowledge and have the potential to further enhance methods for mitigating cavitation damage in marine,hydraulic machinery systems,and medical fields.l fields.展开更多
核电厂反应堆截止闸阀具有批量小、造价高、维修检测成本大、试验仿真难度高的特点,在产品设计阶段常采用故障模式影响及危害性分析(Failure Modes,Effect and Criticality Analysis,FMECA)的方法对其可靠性进行评价。在传统FMECA方法...核电厂反应堆截止闸阀具有批量小、造价高、维修检测成本大、试验仿真难度高的特点,在产品设计阶段常采用故障模式影响及危害性分析(Failure Modes,Effect and Criticality Analysis,FMECA)的方法对其可靠性进行评价。在传统FMECA方法的基础上,结合闸阀产品特点,提出了一种基于模糊危害性矩阵的FMECA方法,改良了传统FMECA难以衡量分析人员主观不确定性的问题。针对一款在研的反应堆截止闸阀,对提出的方法进行了验证。与传统FMECA方法相比,文中提出的方法克服了危害性矩阵分析存在的缺陷,提高了分析结果可信度与合理性,为闸阀产品可靠性工作提供了理论支撑与实践验证。展开更多
传统的频谱感知能量检测易受噪声方差不确定性的影响,存在"信噪比墙"效应。频谱感知特征值检测跟能量检测一样,不需要信号任何先验信息,并且能在低信噪比下取得较好的检测性能。经典的特征值检测有最大最小特征值(maximum-min...传统的频谱感知能量检测易受噪声方差不确定性的影响,存在"信噪比墙"效应。频谱感知特征值检测跟能量检测一样,不需要信号任何先验信息,并且能在低信噪比下取得较好的检测性能。经典的特征值检测有最大最小特征值(maximum-minimum eigenvalues,MME)之比算法,最大最小特征值之差(maximum-minimum eigenvalues difference,DMM)算法等。这些算法只利用特征值的一阶统计量,不能充分反映全部特征值的统计特征。利用特征值二阶统计量提出一种基于特征值方差的频谱感知算法,选取能反映特征值整体波动的方差当作观测统计量,并利用矩阵迹的性质推导出该算法的理论门限。仿真证明:当噪声方差不确定性等于0 d B时,该算法的检测性始终优于MME算法。当噪声方差不确定性等于0. 2 d B时,能量检测(energy detection,ED)算法检测概率急剧下降,而特征值方差(eigenvalue variance,EV)算法检测概率仅下降10%左右,并且当信噪比(signal noise ratio,SNR)大于-17 d B时,EV算法的检测概率优于ED算法和MME算法。展开更多
基金financially supported by the National Natural Science Foundation of China(Grant Nos.52171311,52271279)the Natural Science Foundation of the Jiangsu Higher Education Institutions of China(Grant No.20KJB510046)。
文摘Experiments were conducted to investigate the dynamics of an oscillating bubble generated by a spark in the presence of an inclined attached air bubble.The study primarily focused on the influence of the inclination angle on the behavior of bubble jetting orientation,air bubble shape modes,and motion characteristics of the interaction between the two bubbles.Various complex bubble jetting behaviors were observed,including the presence of multiple types of bubble jetting directions,bubble splitting,and multidirectional jets.Four types of air bubble shapes were defined,namely inclined cup cover-shaped(with and without splitting),double-peaked cup cover-shaped,and inclined L-shaped air bubbles.The formation of different types of bubble jets was analyzed using the vector synthesis principle of the Bjerknes force exerted by the inclined attached air bubble and a steel plate.To describe the diverse orientations of bubble jetting and air bubble shapes,new parameters namely the dimensionless spark bubble oscillation time T^(*)and volume ratio V^(*)that consider the inclination angle are proposed.The findings of this investigation contribute to the existing knowledge and have the potential to further enhance methods for mitigating cavitation damage in marine,hydraulic machinery systems,and medical fields.l fields.
文摘核电厂反应堆截止闸阀具有批量小、造价高、维修检测成本大、试验仿真难度高的特点,在产品设计阶段常采用故障模式影响及危害性分析(Failure Modes,Effect and Criticality Analysis,FMECA)的方法对其可靠性进行评价。在传统FMECA方法的基础上,结合闸阀产品特点,提出了一种基于模糊危害性矩阵的FMECA方法,改良了传统FMECA难以衡量分析人员主观不确定性的问题。针对一款在研的反应堆截止闸阀,对提出的方法进行了验证。与传统FMECA方法相比,文中提出的方法克服了危害性矩阵分析存在的缺陷,提高了分析结果可信度与合理性,为闸阀产品可靠性工作提供了理论支撑与实践验证。
文摘传统的频谱感知能量检测易受噪声方差不确定性的影响,存在"信噪比墙"效应。频谱感知特征值检测跟能量检测一样,不需要信号任何先验信息,并且能在低信噪比下取得较好的检测性能。经典的特征值检测有最大最小特征值(maximum-minimum eigenvalues,MME)之比算法,最大最小特征值之差(maximum-minimum eigenvalues difference,DMM)算法等。这些算法只利用特征值的一阶统计量,不能充分反映全部特征值的统计特征。利用特征值二阶统计量提出一种基于特征值方差的频谱感知算法,选取能反映特征值整体波动的方差当作观测统计量,并利用矩阵迹的性质推导出该算法的理论门限。仿真证明:当噪声方差不确定性等于0 d B时,该算法的检测性始终优于MME算法。当噪声方差不确定性等于0. 2 d B时,能量检测(energy detection,ED)算法检测概率急剧下降,而特征值方差(eigenvalue variance,EV)算法检测概率仅下降10%左右,并且当信噪比(signal noise ratio,SNR)大于-17 d B时,EV算法的检测概率优于ED算法和MME算法。