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Droplets diameter distribution using maximum entropy formulation combined with a new energy-based sub-model 被引量:2
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作者 Seyed Mostafa Hosseinalipour Hadiseh Karimaei Ehsan Movahednejad 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2016年第11期1625-1630,共6页
The maximum entropy principle(MEP) is one of the first methods which have been used to predict droplet size and velocity distributions of liquid sprays. This method needs a mean droplets diameter as an input to predic... The maximum entropy principle(MEP) is one of the first methods which have been used to predict droplet size and velocity distributions of liquid sprays. This method needs a mean droplets diameter as an input to predict the droplet size distribution. This paper presents a new sub-model based on the deterministic aspects of liquid atomization process independent of the experimental data to provide the mean droplets diameter for using in the maximum entropy formulation(MEF). For this purpose, a theoretical model based on the approach of energy conservation law entitled energy-based model(EBM) is presented. Based on this approach, atomization occurs due to the kinetic energy loss. Prediction of the combined model(MEF/EBM) is in good agreement with the available experimental data. The energy-based model can be used as a fast and reliable enough model to obtain a good estimation of the mean droplets diameter of a spray and the combined model(MEF/EBM) can be used to well predict the droplet size distribution at the primary breakup. 展开更多
关键词 Mean droplets diameter Energy conservation maximum entropy formulation (MEF) Size distribution Statistical thermodynamics Mathematical modeling
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On Some Proximity Problems of Colored Sets
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作者 范成林 罗军 +2 位作者 王文成 钟发荣 朱滨海 《Journal of Computer Science & Technology》 SCIE EI CSCD 2014年第5期879-886,共8页
The maximum diameter color-spanning set problem(MaxDCS) is defined as follows: given n points with m colors, select m points with m distinct colors such that the diameter of the set of chosen points is maximized. I... The maximum diameter color-spanning set problem(MaxDCS) is defined as follows: given n points with m colors, select m points with m distinct colors such that the diameter of the set of chosen points is maximized. In this paper, we design an optimal O(n log n) time algorithm using rotating calipers for MaxDCS in the plane. Our algorithm can also be used to solve the maximum diameter problem of imprecise points modeled as polygons. We also give an optimal algorithm for the all farthest foreign neighbor problem(AFFN) in the plane, and propose algorithms to answer the farthest foreign neighbor query(FFNQ) of colored sets in two- and three-dimensional space. Furthermore, we study the problem of computing the closest pair of color-spanning set(CPCS) in d-dimensional space, and remove the log m factor in the best known time bound if d is a constant. 展开更多
关键词 computational geometry colored set algorithm maximum diameter color-spanning set problem
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