The Experts below are selected from a list of 282 Experts worldwide ranked by ideXlab platform
Qiong Li - One of the best experts on this subject based on the ideXlab platform.
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accuracy evaluation of the gray Gas radiation Model in cfd simulation
Case Studies in Thermal Engineering, 2014Co-Authors: Peiyong Wang, Qiong LiAbstract:Abstract Gaseous combustion product, a mixture of radiating Gas CO 2 , H 2 O and nonradiating Gas N 2 , O 2 , absorbs and emits radiation spectrally selectively. Accurate simulation of radiation heat transfer inside a combustion chamber requires the line-by-line radiation Model which is impossible for engineering practice because of the prohibitive computation time cost. The simplified gray Gas Model is the most popular Model used in engineering CFD simulation. However, the accuracy of this Model has not been systematically evaluated. Several radiation heat transfer cases have been simulated with the gray Gas Model and the simulation accuracy has been evaluated by the simulation result with the more accurate Statistical Narrow Band Model. It is shown that the CFD simulation with the gray Gas Model can predict the peak heat transfer flux location accurately, but will over predict the heat flux and the heat transfer rate by as much as 23% for the tested cases.
Rafael Marcos Luque-baena - One of the best experts on this subject based on the ideXlab platform.
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A New Self-Organizing Neural Gas Model based on Bregman Divergences
2018 International Joint Conference on Neural Networks (IJCNN), 2018Co-Authors: Esteban J. Palomo, Miguel A. Molina-cabello, Ezequiel López-rubio, Rafael Marcos Luque-baenaAbstract:In this paper, a new self-organizing neural Gas Model that we call Growing Hierarchical Bregman Neural Gas (GHBNG) has been proposed. Our proposal is based on the Growing Hierarchical Neural Gas (GHNG) in which Bregman divergences are incorporated in order to compute the winning neuron. This Model has been applied to anomaly detection in video sequences together with a Faster R-CNN as an object detector module. Experimental results not only confirm the effectiveness of the GHBNG for the detection of anomalous object in video sequences but also its self-organization capabilities.
S. Das Gupta - One of the best experts on this subject based on the ideXlab platform.
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Exploring the lattice Gas Model for isoscaling
Nuclear Physics, 2008Co-Authors: S. Das GuptaAbstract:Abstract Isotopic spin dependent lattice Gas Model is used to examine if it produces the isoscaling behaviour seen in intermediate energy heavy ion collisions. Qualitative features are reproduced but quantitative agreement with experiments is lacking.
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Incorporating radial flow in the lattice Gas Model for nuclear disassembly
Physical Review C, 2001Co-Authors: S. Das GuptaAbstract:We consider extensions of the lattice Gas Model to incorporate radial flow. Experimental data are used to set the magnitude of radial flow. This flow is then included in the Lattice Gas Model in a microcanonical formalism. For magnitudes of flow seen in experiments, the main effect of the flow on observables is a shift along the $E^*/A$ axis.
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Caloric curves for small systems in the nuclear lattice Gas Model
Physical Review C, 2001Co-Authors: S. Das GuptaAbstract:For pedagogical reasons we compute the caloric curve for 11 particles in a ${3}^{3}$ lattice. Monte Carlo simulation can be avoided and exact results are obtained. We compare canonical and microcanonical results for the caloric curve. Even down to this small system, agreement between the canonical Model and the microcanonical Model is surprisingly good. We point out that the introduction of kinetic energy in the nuclear lattice Gas Model modifies the results of the standard lattice Gas Model in a profound way. The Model is also used to test the accuracy of the saddle-point approximation for density of states.
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Microcanonical lattice Gas Model for nuclear disassembly
Physical Review C, 2000Co-Authors: S. Das Gupta, Sandip SamaddarAbstract:Microcanonical calculations are no more difficult to implement than canonical calculations in the lattice Gas Model. We report calculations for a few observables where we compare microcanonical Model results with canonical Model results.
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Lattice Gas Model with isospin-dependent interactions
Physical Review C, 1998Co-Authors: S. Das GuptaAbstract:In this paper we continue the investigation of the lattice Gas Model. The main improvement is that we use two strengths for bonds: one between like particles and another between unlike particle to implement the isospin-dependence of nuclear force. The main effect is the elimination of unphysical clusters, like the dineutron or diproton. It is therefore a better description of nuclear system. Equation of state in mean field theory is obtained for nuclear matter as well as for $N\ne Z$ systems. Through numerical and analytical calculation we show that the new Model maintains all the important features of the older Model. We study the effect of the Coulomb interaction on multifragmentation of a compound system of A=86, Z=40 and also for A=197, Z=79. For the first case the Coulomb interaction has small effect. For the latter case the effect is much more pronounced but typical signatures of the lattice Gas Model such as a minimum (maximum) in the value of $\tau$ ($S_2$) are still obtained but at a much lower temperature.
S S Bandyopadhyay - One of the best experts on this subject based on the ideXlab platform.
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numerical investigation of Gas species and energy separation in the ranque hilsch vortex tube using real Gas Model
International Journal of Refrigeration-revue Internationale Du Froid, 2011Co-Authors: T Dutta, K P Sinhamahapatra, S S BandyopadhyayAbstract:Abstract A three dimensional Computational Fluid Dynamics (CFD) Model is used to investigate the phenomena of energy and species separation in a vortex tube (VT) with compressed air at normal atmospheric temperature and cryogenic temperature as the working fluid. In this work the NIST real Gas Model is used for the first time to accurately compute the thermodynamic and transport properties of air inside the VT. CFD simulations are carried out using the perfect Gas law as well. The computed performance curves (hot and cold outlet temperatures versus hot outlet mass fraction) at normal atmospheric temperature obtained with both the real Gas Model and the perfect Gas law are compared with the experimental results. The separation of air into its main components, i.e. oxygen and nitrogen is observed, although the separation effect is very small. The magnitudes of both the energy separation and the species separation at cryogenic temperature were found to be smaller than those at normal atmospheric temperature.
Peiyong Wang - One of the best experts on this subject based on the ideXlab platform.
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accuracy evaluation of the gray Gas radiation Model in cfd simulation
Case Studies in Thermal Engineering, 2014Co-Authors: Peiyong Wang, Qiong LiAbstract:Abstract Gaseous combustion product, a mixture of radiating Gas CO 2 , H 2 O and nonradiating Gas N 2 , O 2 , absorbs and emits radiation spectrally selectively. Accurate simulation of radiation heat transfer inside a combustion chamber requires the line-by-line radiation Model which is impossible for engineering practice because of the prohibitive computation time cost. The simplified gray Gas Model is the most popular Model used in engineering CFD simulation. However, the accuracy of this Model has not been systematically evaluated. Several radiation heat transfer cases have been simulated with the gray Gas Model and the simulation accuracy has been evaluated by the simulation result with the more accurate Statistical Narrow Band Model. It is shown that the CFD simulation with the gray Gas Model can predict the peak heat transfer flux location accurately, but will over predict the heat flux and the heat transfer rate by as much as 23% for the tested cases.
