To Simulate the Flow Field of Jet Pumps of Plane Model by Using Monte Carlo Method

2011 ◽  
Vol 295-297 ◽  
pp. 1829-1833
Author(s):  
Tong Zhuo Li ◽  
Peng Fei Bi ◽  
Nan Jiang
Keyword(s):  
Monte Carlo ◽  
Random Walk ◽  
Monte Carlo Method ◽  
Flow Field ◽  
Computing Time ◽  
Momentum Equation ◽  
Plane Model ◽  
Fluid Field ◽  
The Monte Carlo Method ◽  
Jet Pumps

First numeric computation of fluid field inside jet pump is conducted with continuity equation and momentum equation of steady fluid under right-angled two-dimension coordinates, and the random walk model is given. As for the method of integrating coupling pressure and momentum equation is adopted. The result is conforming to the flow of reality. Furthermore, the relation of random walk times and computing time and computing errors is analyzed in-depth. The relation of iterative times and computing errors is analyzed. It establishes a foundation for studying the flow field of jet pumps to use the Monte Carlo Method. At the meantime it develops a new field.

Reduction of Computing Time and Improvement of Convergence Stability of the Monte Carlo Method Applied to Radiative Heat Transfer With Variable Properties

1989 ◽  
Vol 111 (1) ◽  
pp. 135-140 ◽  
Author(s):  
M. Kobiyama
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Computing Time ◽  
Energy Difference ◽  
Radiative Properties ◽  
Radiative Energy ◽  
Control Element ◽  
The Monte Carlo Method ◽  
The Difference ◽  
Convergence Stability

A modified Monte Carlo method is suggested to reduce the computing time and improve the convergence stability of iterative calculations without losing other excellent features of the conventional Monte Carlo method. In this method, two kinds of radiative bundle are used: energy correcting bundles and property correcting bundles. The energy correcting bundles are used for correcting the radiative energy difference between two successive iterative cycles, and the property correcting bundles are used for correcting the radiative properties. The number of radiative energy bundles emitted from each control element is proportional to the difference in emissive energy between two successive iterative cycles.

scholarly journals A Practical Manual on the Monte Carlo Method for Random Walk Problems

1960 ◽  
Vol 14 (71) ◽  
pp. 299
Author(s):  
C. B. T. ◽  
E. D. Cashwell ◽  
C. J. Everett
Keyword(s):  
Monte Carlo ◽  
Random Walk ◽  
Monte Carlo Method ◽  
The Monte Carlo Method

Using Monte Carlo Method to Calculate the Flow Field of Jet Pumps

2011 ◽  
Vol 317-319 ◽  
pp. 1773-1777
Author(s):  
Tong Zhuo Li ◽  
Peng Fei Bi ◽  
Nan Jiang
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Flow Field ◽  
Laser Doppler Anemometry ◽  
Neumann Boundary ◽  
Staggered Grid ◽  
Inhomogeneous Equation ◽  
Consistent Difference ◽  
Two Dimensional ◽  
Fluid Field

It is the first time to study the consistent difference scheme of pressure equation and Neumann boundary conditions on two-dimensional non-staggered grid by using two-dimensional axisymmetric inhomogeneous equation for steady flow. The result of computing the fluid field of jet pump by using the Monte Carlo method is conforming approximately to the actual flow which is measured by the laser Doppler anemometry. The Monte Carlo simulation of flow field is therefore practical and feasible.

Multidimensional Inverse Heat Conduction Using the Monte Carlo Method

1993 ◽  
Vol 115 (1) ◽  
pp. 26-33 ◽  
Author(s):  
A. Haji-Sheikh ◽  
F. P. Buckingham
Keyword(s):  
Monte Carlo ◽  
Random Walk ◽  
Heat Conduction ◽  
Monte Carlo Method ◽  
Three Dimensional ◽  
Inverse Heat Conduction ◽  
Step Size ◽  
Curved Boundaries ◽  
The Monte Carlo Method ◽  
Inverse Heat Conduction Problems

The Monte Carlo method is used to solve inverse heat conduction problems when the surface temperature is spatial and time dependent. The standard random walk is modified to deal with curved boundaries. The proposed random walk has all the characteristics of the floating random walk, except its step size is small. This is a uniquely flexible method with excellent accuracy and it is computationally fast. The method is used to solve one- and three-dimensional heat conduction problems and the results are presented. A procedure is described to improve the accuracy of the solution, then used to calculate heat transfer from a cylindrical surface cooled by a stream of air.

UGR CALCULATION BASED ON THE LUMINANCE SPATIAL-ANGULAR DISTRIBUTION

2020 ◽  
Vol 2020 (4) ◽  
pp. 25-32
Author(s):  
Viktor Zheltov ◽  
Viktor Chembaev
Keyword(s):  
Monte Carlo ◽  
Angular Distribution ◽  
Monte Carlo Method ◽  
Visual Task ◽  
New Method ◽  
Lighting System ◽  
Preliminary Assessment ◽  
System A ◽  
The Monte Carlo Method

The article has considered the calculation of the unified glare rating (UGR) based on the luminance spatial-angular distribution (LSAD). The method of local estimations of the Monte Carlo method is proposed as a method for modeling LSAD. On the basis of LSAD, it becomes possible to evaluate the quality of lighting by many criteria, including the generally accepted UGR. UGR allows preliminary assessment of the level of comfort for performing a visual task in a lighting system. A new method of "pixel-by-pixel" calculation of UGR based on LSAD is proposed.

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