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Online since: March 2013
Authors: Wojciech Tarnowski
The simulation for optimisation purposes imposes that computations are conducted in separate programming platforms, so partition of a whole model is a natural consequence.
Writing, one obtains the form of the Maxwell equation which has been used in simulation in the COMSOL package
Moreover, the heat losses caused by eddy currents have been taken into account in the simulation process.
It has been used in simulation in the SPICE package.
Because of the model symmetry and the long simulation computation time only half of the electromagnetic device has been taken under consideration.
Online since: August 2019
Authors: Filipe Branco Teixeira, Ana Paula Del Aghenese, Luiz Alberto Oliveira Rocha, Eliander Manke Heinemann, Gabriel de Avila Barreto, Elizaldo Domingues dos Santos, Liércio André Isoldi
The simulations were carried out considering two-dimensional forced convective flows, in the laminar regime and incompressible conditions.
For the simulations, the Reynolds number of ReD = 100 and Prandtl number of Pr = 0.71 (which simulates the air) were considered.
For all simulations, the angle between the cylinders is α = 0º.
For each ratio a/b, five different ratios of ST/D are evaluated, resulting in a total of 20 performed simulations.
The conservation equations (5) - (8) are solved with a Computational Fluid Dynamics (CFD) code, FLUENT® [15], which is based on the finite volume method (FVM) [12,16].
Online since: September 2013
Authors: Sascha Gierlings, Matthias Brockmann
Most of the existing models for temperatures and heat flows in metal cutting are empirical or simulation models.
Advanced empirical and simulation models are available for most machining processes with a defined cutting edge [6,7,8,9].
The advantages of empirical and simulation models are an option to handle complex cutting engagement tasks, such as machining processes, and the necessity of real data at an early modelling stage, which ensures the practical relevance.
The main disadvantage of empirical and simulation models in comparison to analytical models is the degree of simplification (i. e. difference equation instead of differential equation for simulation) or total negligence (as in the case of empirical models) of the governing physical equation.
White, Potential Flow and CFD, in: F.
Online since: October 2011
Authors: Zhi Xing Luo, Liu Yang, Jia Ping Liu, Bing Han
Verification of the project According to the basic process of passive designs, in the creation process, we should need to analyze and predicate expected effects of this scheme, to verify the correctness and rationality of the design idea. 4.1 Analyses and testing of natural lighting In the process of building design, the author models construction scheme in Ecotect Analysis; According to relevant requirements in the lighting design standard of building GB/T 50033---2001, it sets the reflection of the metope, the ground and the ceiling, and set the test plane standard in the Figure 4 The Illumination of Building plane; Using Radiance software to get simulation analysis for a whole cloudy sky model, as it shown in figure 4 and figure 6.
According to the simulation test and verify of the dynamic natural lighting Daysim simulation software, under the use of gradual type artificial lighting control, the illumination energy conservation rate can achieve above 75%. 4.2 The analysis and testing of natural ventilation For the effect on natural ventilation, this research made two aspects of work: theoretical analysis and CFD simulation verify.
Building wind road design and the wind field simulation of hot pressing ventilation [J].
Online since: August 2013
Authors: Xin Yang, Zheng Wang Wu, Xin Ma
CFD simulation and monitoring combined point source pollution diffusion of residential construction patterns and protective greenbelt layout,171 Wen YiZhang, Sun Zai, Deng Chuan, Fu ZhiMin Different city road have uneven PM2.5 concentration Monitoring of Hangzhou, China PM2.5 concentration monitoring and analysis in Hangzhou Xiasha region,Journal of china university of metrology,9,2012,279-283 BarbaraJane George , DonaldA.
It’s highly encouraged to use computer technology such as CFD for simulation and analysis.
Online since: July 2023
Authors: Bianca Neves Machado, Phelype Haron Oleinik, Rafael Pereira Maciel, Elizaldo Domingues dos Santos, Liércio André Isoldi, Mateus das Neves Gomes
It is a computational fluid dynamics (CFD) commercial package that uses the finite volume method (FVM) as discretization method, enabling the computational modeling of a wide range of transfer phenomena in fluid and heat flows [9].
The Fluent software, employed for the numerical simulations of the realistic irregular waves, does not use spectral data as input, requiring a transformation.
Numerical Simulations.
In this context, numerical simulations were performed, aiming to verify wave generation.
For that, the amount of subdivisions was analyzed during 5 min of simulation, comparing the water free surface elevation.
Online since: October 2014
Authors: Harijono Djojodihardjo, Muhammad Anas Abd Bari, Azmin Shakrine Mohd Rafie, Surjatin Wiriadidjaja
Various approaches for ornithopter aerodynamic modeling could be followed, such as the incorporation of leading edge and trailing vortices, and the use of CFD and lifting surface methods.
[10] KuiOu and Antony Jameson, Towards Computational Flapping Wing Aerodynamics of Realistic Configurations using Spectral Difference Method, AIAA 2011-3068, 20th AIAA CFD Conference, 2011 [11] Theodorsen, T., General Theory of Aerodynamic Instability and the Mechanism of Flutter, NACA Report No.496, 1949
[19] Harijono Djojodihardjo, Alif Syamim Syazwan Ramli, Kinematic and Unsteady Aerodynamic Modelling, Numerical Simulation and Parametric Study of Flapping Wing Ornithopter, Paper S3-B, Proceeding, International Forum on Aeroelasticity and Structural Dynamics, 2013, 24 - 27 June 2013, Bristol, United Kingdom [20] Djojodihardjo, H., Ramli, A.S.S., Aziz, M.S.A., Ahmad, K.A., Numerical Modelling, Simulation and Visualization of Flapping Wing Ornithopter, International Conference on Engineering Materials and Processes, ICEMAP 2013, May 23-24, 2013
Online since: March 2021
Authors: Flavia Schwarz Franceschini Zinani, Luiz Alberto Oliveira Rocha, Vinícius Bloss, Camila Fernandes Cardozo
In this case a Design of Experiments (DoE) with Composite Experimental Design (CCD) was used with the numerical simulation.
(a) mesh regions according to height, (b) cross-plane of the OWC device and (c) mesh refinement near the chimney wall CFD spatial and transient convergences were based on Richardson’s extrapolation [13].
This technique was applied to structure the numerical simulations of this study and facilitate statistical analysis of the results.
Simulations obtained efficiencies higher than 50% for test case 5 at W/Z = 0.90 and 0.95.
Following DoE procedures, 9 new simulations were conducted with more realistic geometric parameters as shown in Table 6.
Online since: October 2011
Authors: Hsien Te Lin, Yu Chung Wang
These combined factors surrounding energy consumption is very complex, and must first be rectified through continuous simulation to reach pre-determined energy-saving target.
BEMS is then used to explore actual energy-saving efficiencies in the second stage following building’s completion. 2-1. eQUEST MODEL BUILDING ENERGY CONSUMPTION Standard model building is established as an assessment method by setting similar simulated conditions such as climate, shape of building, operating duration, through eQUEST simulation analysis of energy consumption baseline for the whole year. eQUEST corresponds to constructing energy-saving techniques of the model building and the simulation analysis of energy consumption, benchmarking each of them against such baseline. 2-1-1.
Buoyancy Ventilation Design CFD Simulation, International Conference, Magic School of Green Technology [2] (6).
Differences between eQUEST Simulation Estimate and Actual Energy Consumption January February March April May June eQUEST Simulation Estimate [kWh] 6280 7440 8900 10960 12820 14400 Actual Energy Consumption [kWh] 5099 5745 7322 9318 11241 12181 Differences [%] -18.8% -22.8% -17.7% -15% -12.3% -15.4% 4.
Online since: October 2011
Authors: Jing Zhu, Qi Xu, Li Ping Zhang
Numerical simulation is an important means of study on fluid and results require a large amount of experimental data for validation.
The Numerical simulation of the resistance of large FGD spray tower Journal of China Electrical Engineering, 2008,28 (5) :28-33 [5] Jincheng Zhan, Jingyu Ran, TuxinSun g.
The Numerical simulation and research of the process of the absorber tower of flue gas desulfurization.
The Numerical simulation of the optimization of internal flow in the desulfurization tower.
Multiphase Euler-Lagrange CFD applied to Wet Gas Desulphurization technology.
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