Monte Carlo Simulation of Thermophysical Properties for Al-Ce Liquid Alloys

2010 ◽  
Vol 654-656 ◽  
pp. 1404-1407 ◽  
Author(s):  
Wen Jing Yao ◽  
Nan Wang
Keyword(s):  
Monte Carlo ◽  
Diffusion Coefficient ◽  
Thermophysical Properties ◽  
Alloy System ◽  
Simulation Method ◽  
The Monte Carlo Method ◽  
Different Temperatures ◽  
Binary Alloy System ◽  
Eam Potential ◽  
And Diffusion

The Monte Carlo method with EAM potential is applied to simulate the liquid Al-Ce binary alloy system and the thermophysical properties including surface tension (), viscosity () and diffusion coefficient (D) of liquid Al-8at%Ce alloy are determined. The simulated  values decrease with temperature. Based on the relationship between ,  and D, the various viscosity and diffusion coefficient of liquid Al-Ce alloys under different temperatures were determined. The comparison of the simulated results with some experimental measurements is performed and discussed, indicating that the simulation method and EAM parameters in simulation are acceptable. The dependence of viscosity and diffusion coefficient of liquid Al-Ce alloys on temperature is established to be helpful in further investigation of amorphrization ability of Al-Ce alloys.

scholarly journals Technical-Economic Analysis of Grapple Saw

2020 ◽  
Vol 41 (2) ◽  
pp. 219-229 ◽  
Author(s):  
Ricardo Hideaki Miyajima ◽  
Paulo Torres Fenner ◽  
Gislaine Cristina Batistela ◽  
Danilo Simões
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Probability Distributions ◽  
Simulation Method ◽  
Forest Harvesting ◽  
Production Costs ◽  
Wood Harvesting ◽  
Food And Agriculture ◽  
The Monte Carlo Method

The processing of Eucalyptus logs is a stage that follows the full tree system in mechanized forest harvesting, commonly performed by grapple saw. Therefore, this activity presents some associated uncertainties, especially regarding technical and silvicultural factors that can affect productivity and production costs. To get around this problem, Monte Carlo simulation can be applied, or rather a technique that allows to measure the probabilities of values from factors that are under conditions of uncertainties, to which probability distributions are attributed. The objective of this study was to apply the Monte Carlo method for determining the probabilistic technical-economical coefficients of log processing using two different grapple saw models. Field data were obtained from an area of forest planted with Eucalyptus, located in the State of São Paulo, Brazil. For the technical analysis, the time study protocol was applied by the method of continuous reading of the operational cycle elements, which resulted in production. As for the estimated cost of programmed hour, the applied methods were recommended by the Food and Agriculture Organization of the United Nations. The incorporation of the uncertainties was carried out by applying the Monte Carlo simulation method, by which 100,000 random values were generated. The results showed that the crane empty movement is the operational element that most impacts the total time for processing the logs; the variables that most influence the productivity are specific to each grapple saw model; the difference of USD 0.04 m3 in production costs was observed between processors with gripping area of 0.58 m2 and 0.85 m2. The Monte Carlo method proved to be an applicable tool for mechanized wood harvesting for presenting a range of probability of occurrences for the operational elements and for the production cost.

THE MONTE CARLO METHOD APPLIED TO CARRIER TRANSPORT IN Si/SiGe QUANTUM WELLS

2005 ◽  
Vol 19 (21) ◽  
pp. 3353-3377 ◽  
Author(s):  
V. A. VETTCHINKINA ◽  
A. BLOM ◽  
M. A. ODNOBLYUDOV
Keyword(s):  
Monte Carlo ◽  
Quantum Wells ◽  
Electric Fields ◽  
Carrier Transport ◽  
Impurity Scattering ◽  
Resonant Scattering ◽  
Interface Roughness ◽  
The Monte Carlo Method ◽  
Analytic Expressions ◽  
Different Temperatures

We present a complete Monte Carlo simulation of the transport properties of a Si/SiGe quantum well. The scattering mechanisms, viz. intervalley phonons, acoustic phonons, interface roughness and impurity scattering (including resonant scattering), are considered in detail, and we derive analytic expressions for the scattering rates, in each case properly taking the quantized electron wave functions into account. The numerically obtained distribution function is used to discuss the influence of each scattering mechanism for different electric fields applied parallel to the interfaces and also different temperatures.

Simulation of Interstitial Atom Diffusion in FCC Metals with Point Defects

2005 ◽  
Vol 237-240 ◽  
pp. 1275-1280
Author(s):  
Liudmila V. Selezneva ◽  
Andrei V. Nazarov
Keyword(s):  
Monte Carlo ◽  
Diffusion Coefficient ◽  
Point Defects ◽  
Monte Carlo Methods ◽  
Interstitial Atom ◽  
Activation Barrier ◽  
Atom Diffusion ◽  
Fcc Metals ◽  
Different Temperatures ◽  
Fcc Metal

This work is devoted to simulation of interstitial atom diffusion in fcc metals with point defects. We used the molecular static and the Monte Carlo methods. An activation barrier set for different configurations of the carbon–vacancy complexes is simulated by the method of the molecular static (MS). Then we calculate atom jump rates for these configurations. The simulation of the carbon and vacancy migration in an fcc metal is realized on the basis of obtained atom jump rates by using the Monte-Carlo (MC) method. In particular, the calculations were made for the system of the nickel-carbon. In the result of that interstitial atom diffusion coefficient has been obtained at different temperatures.

Thermophysical properties of ArSF6 Mixtures: Second and diffusion coefficient and thermal diffusion factors

1978 ◽  
Vol 28 (1-2) ◽  
pp. 187-192 ◽  
Author(s):  
J. Santafé ◽  
J.S. Urieta ◽  
C.G. Losa ◽  
C.M. Santamaria ◽  
J.A. Carrión ◽  
...  
Keyword(s):  
Diffusion Coefficient ◽  
Thermal Diffusion ◽  
Thermophysical Properties ◽  
And Diffusion

Spreading Characteristics of Molecularly Thin Lubricant on Surfaces With Groove-Shaped Textures: Effects of Molecular Weight and End-Group Functionality

2003 ◽  
Vol 125 (2) ◽  
pp. 350-357 ◽  
Author(s):  
Hedong Zhang ◽  
Yasunaga Mitsuya ◽  
Maiko Yamada
Keyword(s):  
Molecular Weight ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Ising Model ◽  
Monte Carlo Simulations ◽  
Simulation Method ◽  
Solid Surfaces ◽  
The Monte Carlo Method ◽  
End Groups ◽  
End Group

Effects of molecular weight and end-group functionality on spreading of molecularly thin perfluoropolyether (PFPE) film over solid surfaces with groove-shaped textures have been studied by experiments and Monte Carlo simulations. In the experiments, lubricant spreading on a surface with groove-shaped textures was measured by making use of the phenomenon in which diffracted light weakens in the lubricant-covered region. It is found that grooves serve to accelerate spreading and this effect increases for deeper grooves, and also the accelerating rate becomes larger for a lubricant having a larger molecular weight or functional end-groups. In the simulations, the Monte Carlo method based on the Ising model was extended to enable us to evaluate the effect of molecular weight on the spreading of non-functional lubricant inside a groove. The validity of the newly developed simulation method was well confirmed from the agreement between the simulation and experimental results.

THE MONTE CARLO METHOD AS A RISK ASSESSMENT TOOL IN THE FORMATION OF A STOCK PORTFOLIO IN A CRISIS SITUATION

2020 ◽  
Author(s):  
Екатерина Андреевна Винниченко ◽  
Светлана Валентиновна Пупенцова
Keyword(s):  
Risk Assessment ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Assessment Tool ◽  
Corporate Bonds ◽  
Simulation Method ◽  
Crisis Situation ◽  
The Monte Carlo Method ◽  
Financial Investments ◽  
Stock Portfolio

В работе разработан алгоритм применения метода имитационного моделирования при оценке эффективности финансовых инвестиций на примере оценки корпоративных облигаций в кризисной ситуации. Авторы рассчитали доходность к погашению корпоративных облигаций в период кризиса 2020 года и подготовили рекомендации по выбору наиболее привлекательных ценных бумаг для инвестора. In this paper, we have developed an algorithm for applying the simulation method to evaluate the effectiveness of financial investments on the example of evaluating corporate bonds in a crisis situation. The authors calculated the yield to maturity of corporate bonds during the crisis in 2020 and prepared recommendations for choosing the most attractive securities for investors.

scholarly journals Simulating spatial aspects of a flash flood using the Monte Carlo method and GRASS GIS: a case study of the Malá Svinka Basin (Slovakia)

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Jaroslav Hofierka ◽  
Monika Knutová
Keyword(s):  
Monte Carlo ◽  
Preferential Flow ◽  
Flash Flood ◽  
Simulation Method ◽  
Distributed Hydrological Model ◽  
Protection Measures ◽  
Grass Gis ◽  
The Monte Carlo Method ◽  
Spatially Distributed ◽  
Gis Environment

AbstractThis paper focuses on the flash flood assessment using a spatially-distributed hydrological model based on the Monte Carlo simulation method. The model is implemented as r.sim.water module in GRASS GIS and was applied to the Malá Svinka Basin in Eastern Slovakia where a heavy rainfall (100 mm/hr.) caused a flash flood event with deadly consequences in July 1998. The event was simulated using standard datasets representing elevation, soils and land cover. The results were captured in time series of water depth maps showing gradual changes in water depths across the basin. The hydrological effects of roads in the study area were simulated using the preferential flow feature of the model. This simulation helped to identify source areas contributing to flooding in built-up areas. The implementation in a GIS environment simplifies the data preparation and eventual modification for various scenarios and flood protection measures. The simulation confirmed excellent robustness and flexibility of the method.

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