Experiments demonstrated that the weeping is mal-distributed andoccurs mainly in a region of tray deck next to the inlet weir. Theamount of weeping in this region depends on the weeping rate. On thisbasis, three types...Experiments demonstrated that the weeping is mal-distributed andoccurs mainly in a region of tray deck next to the inlet weir. Theamount of weeping in this region depends on the weeping rate. On thisbasis, three types of weeping distribution are proposed. The effectof mal-distributed weeping on the Murphree tray efficiency isevaluated by using the three-dimensional non-equilibrium mixing poolmodel, where the influences of the flow pattern and the variation ofMurphree pint efficiency on a tray are taken into account.展开更多
The manufacturing industry today due to worldwide competition is focused on shorter development cycle. In this situation, computer aided education （CAE） technology as a tool for simultaneous achievement of quality, ...The manufacturing industry today due to worldwide competition is focused on shorter development cycle. In this situation, computer aided education （CAE） technology as a tool for simultaneous achievement of quality, cost and delivery （QCD） plays an important role. The hardware-software environment surrounding CAE has evolved. Though technological problems have been understood and general solutions have been derived and reflected in the CAE analysis software, research findings that boost the credibility of CAE have still not been incorporated fully enough into the development of design process. The real technical mechanism issue is not precisely capture. Therefore, it is important to clarify the real cause in CAE results through CAE simulation in order to assure product reliability and assurance. It is the aim of this study to realize the prediction of design analysis process through understanding of unclear technical mechanism in abnormal occurrences with the utilization of CAE simulation. In other words, it is the aim of this study to focus on issue in automotive transaxle oil seal leakage to understand, grasp, and visualize the main cause through usage of CAE analysis process. It is understood that the point of contact and pump volume was related and this could contribute towards seals quality design. Plus, the utilization of CAE analysis in prediction phase to realized design development is also possible展开更多
We present a method for detecting oil spills in a complex scene of SAR imagery,including segmenting oil spills,and avoiding false alarms.Segmentation is carried out using a multi-time and multi-hierarchical method by ...We present a method for detecting oil spills in a complex scene of SAR imagery,including segmenting oil spills,and avoiding false alarms.Segmentation is carried out using a multi-time and multi-hierarchical method by dividing the complex sea surface into bright sea and dark sea.Gray-based and edge-based segmentations are done to extract oil spills from bright and dark sea,respectively.The proposed method can extract complete oil spills,obtain better visual results,and increase detection probability more accurately than the traditional method.Based on the surrounding features and the oil spills’features,dark land spots and low contrast dark spots are removed efficiently,thus reducing false alarms.The experimental results demonstrate that the proposed algorithm has fast computation speed,high detection accuracy,and is very useful and effective for detecting oil spills in SAR imagery.展开更多
文摘Experiments demonstrated that the weeping is mal-distributed andoccurs mainly in a region of tray deck next to the inlet weir. Theamount of weeping in this region depends on the weeping rate. On thisbasis, three types of weeping distribution are proposed. The effectof mal-distributed weeping on the Murphree tray efficiency isevaluated by using the three-dimensional non-equilibrium mixing poolmodel, where the influences of the flow pattern and the variation ofMurphree pint efficiency on a tray are taken into account.
文摘The manufacturing industry today due to worldwide competition is focused on shorter development cycle. In this situation, computer aided education （CAE） technology as a tool for simultaneous achievement of quality, cost and delivery （QCD） plays an important role. The hardware-software environment surrounding CAE has evolved. Though technological problems have been understood and general solutions have been derived and reflected in the CAE analysis software, research findings that boost the credibility of CAE have still not been incorporated fully enough into the development of design process. The real technical mechanism issue is not precisely capture. Therefore, it is important to clarify the real cause in CAE results through CAE simulation in order to assure product reliability and assurance. It is the aim of this study to realize the prediction of design analysis process through understanding of unclear technical mechanism in abnormal occurrences with the utilization of CAE simulation. In other words, it is the aim of this study to focus on issue in automotive transaxle oil seal leakage to understand, grasp, and visualize the main cause through usage of CAE analysis process. It is understood that the point of contact and pump volume was related and this could contribute towards seals quality design. Plus, the utilization of CAE analysis in prediction phase to realized design development is also possible
基金supported by the National Natural Science Foundation of China(Grant Nos.61171194,61120106004)"111"Project of China(Grant No.B14010)
文摘We present a method for detecting oil spills in a complex scene of SAR imagery,including segmenting oil spills,and avoiding false alarms.Segmentation is carried out using a multi-time and multi-hierarchical method by dividing the complex sea surface into bright sea and dark sea.Gray-based and edge-based segmentations are done to extract oil spills from bright and dark sea,respectively.The proposed method can extract complete oil spills,obtain better visual results,and increase detection probability more accurately than the traditional method.Based on the surrounding features and the oil spills’features,dark land spots and low contrast dark spots are removed efficiently,thus reducing false alarms.The experimental results demonstrate that the proposed algorithm has fast computation speed,high detection accuracy,and is very useful and effective for detecting oil spills in SAR imagery.
