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Abbreviations SDHW: Small Solar Domestic Hot Water CFD: computational fluid dynamics SOUDS: second-order upstream difference scheme.
Bournot, “CFD analysis of thermal stratification in domestic hot water storage tank during dynamic mode,” Build Simul, vol. 8, no. 4, pp. 421–429, Aug. 2015, doi: 10.1007/s12273-015-0216-9
Hayyani, “CFD Investigation of Ventilation Strategies to Remove Contaminants from a Hospital Room,” Designs (Basel), vol. 7, no. 1, Feb. 2023, doi: 10.3390/designs7010005
Zhu, “CFD Simulations of Thermal Stratification Heat Storage Water Tank with an Inside Cylinder with Openings,” in Procedia Engineering, Elsevier Ltd, 2016, pp. 394–399. doi: 10.1016/j.proeng.2016.06.419
Wu, “Influence of inlet structure on thermal stratification in a heat storage tank with PCMs: CFD and experimental study,” Appl Therm Eng, vol. 162, Nov. 2019, doi: 10.1016/j.applthermaleng.2019.114151

Study on the influence of Meteorological Conditions on Particles distribution in Residential Environment Cao Yong1, a, Wang Jianeng2,b, Liu Jing2,c, and Yu Dan3,d 1Institute of Building Environment and Energy Efficiency, China Academy of Building Research, 2Unvirersity of Science and Technology Beijing 3 Beijing University of Civil Engineering and Architecture acabrcao@sina.com, bJianeng_Wang@163.com, cjingliu1998@ustb.edu.cn, dyudan@bucea.edu.cn Keywords: Particulate matter, Residential environment, Weather conditions, CFD Abstract.
And in Hong Huang’s [2] conclusion through numerical simulation, the distribution of pollutants concentration depends on the wind flow and geometric structure of the street canyon.
In this paper the influence of meteorological conditions on the particle diffusion will be researched and the method of numerical simulation will be used.
Conclusions In this paper the distribution features of Particulate matter in residential environment is studied using the method of numerical simulation and considering different wind speed, different wind direction, and different diameter of Particulate.

Bhuiyan et al. [11] caried out three-dimensional CFD simulations to investigate heat transfer and fluid flow characteristics of a four-row plain fin-and-tube heat exchanger using the Commercial Computational Fluid Dynamics Code ANSYS CFX 12.0.
Reasonable agreement was found between the simulations and experimental data.
The results were compared with a CFD model that assumed the heat pipes were solid rods with a constant conductivity.
Numerical simulation results indicate that an optimal perforation design can be obtained to realize a maximum increase in the j factor.
Effects of geometric parameters for wavy finned-tube heat exchanger in turbulent flow: A CFD modeling (Article), Frontiers in Heat and Mass Transfer, Volume 6, Issue 1, pp 1-11

This book covers these topics: Acoustics and Noise Control, Aerodynamics, Applied Mechanics, Automation, Mechatronics and Robotics, Automobiles, Automotive Engineering, Ballistics, Biomechanics, Biomedical Engineering, CAD/CAM/CIM, CFD, Composite and Smart Materials, Compressible Flows, Computational Mechanics, Computational Techniques, Dynamics and Vibration, Energy Engineering and Management, Engineering Materials, Fatigue and Fracture, Fluid Dynamics, Fluid Mechanics and Machinery, Fracture, Fuels and Combustion, General mechanics, Geomechanics, Health and Safety, Heat and Mass Transfer, HVAC, Instrumentation and Control, Internal Combustion Engines, Machinery and Machine Design, Manufacturing and Production Processes, Marine System Design, Material Engineering, Material Science and Processing, Mechanical Design, Mechanical Power Engineering, Mechatronics, MEMS and Nano Technology, Multibody Dynamics, Nanomaterial Engineering, New and Renewable Energy, Noise
and Vibration, Noise Control, Non-destructive Evaluation, Nonlinear Dynamics, Oil and Gas Exploration, Operations Management, PC guided design and manufacture, Plasticity Mechanics, Pollution and Environmental Engineering, Precision mechanics, Mechatronics, Production Technology, Quality assurance and environment protection, Resistance and Propulsion, Robotic Automation and Control, Solid Mechanics, Structural Dynamics, System Dynamics and Simulation, Textile and Leather Technology, Transport Phenomena, Tribology, Turbulence and Vibrations.

By comparing the calculated results of numerical simulation and semi-empirical theoretical equation, the numerical simulation is proved feasible in oil film state analysis parameter prediction, which can overcome the deficiency of single model and get good effect.
Numerical Simulation Model of the Single Oil Pad.
Three-dimensional geometry model of the oil film is produced by software UG, then the model is introduced into the pre-processor ICEM CFD to generate grid.
Critical flow and critical speed were determined by numerical simulation, it provides a theoretical basis of the temperature field and thermal deformation field calculation.
Zhang: Simulation and Scientific Computing (ICSC 08), pp. 675-679

The wetting and flowing behaviors of the filler metal during laser brazing process were analyzed by the computer simulation.
It followed that the wetting and flowing behaviors of the filler metal during laser brazing process could be predicted by the computer simulation. 1.
The material constants of base metals and the filler metals used in the present computer simulation are summarized in Tables 2 and 3.
It follows that the wetting/flowing behaviors of the filler metal during the laser brazing process can be predicted by the computer simulation.
Customized by CFD Lab., (2006).

Design and Numerical Simulation of a Three-Dimensional Nozzle Microstructured Mixer M.Q.
Simulation and flow visualization were used to evaluate its performance.
Performance Testing Numerical simulation.
The effect of the fins on the surface of the 3D nozzles on the mixing liquid was simulated by a commercially available CFD (Computational Fluid Dynamics) software, FluentTM .
Figure 7 to 9 show the simulation results.

Chien study on thermal behavior in a automobile using numerical simulation method.
The commercial FLUENT software is used for simulation, the user-defined function(UDF) is adopted.
For this study these parameters were obtained by the mean of an experimental study, by calculations and by a CFD analysis.
The simulations are conducted for different air-outlet velocity cases.
B. the study of numerical simulation about temperature field of microbus.

This book covers these topics: Acoustics and Noise Control, Aerodynamics, Applied Mechanics, Automation, Mechatronics and Robotics, Automobiles, Automotive Engineering, Ballistics, Biomechanics, Biomedical Engineering, CAD/CAM/CIM, CFD, Composite and Smart Materials, Compressible Flows, Computational Mechanics, Computational Techniques, Dynamics and Vibration, Energy Engineering and Management, Engineering Materials, Fatigue and Fracture, Fluid Dynamics, Fluid Mechanics and Machinery, Fracture, Fuels and Combustion, General mechanics, Geomechanics, Health and Safety, Heat and Mass Transfer, HVAC, Instrumentation and Control, Internal Combustion Engines, Machinery and Machine Design, Manufacturing and Production Processes, Marine System Design, Material Engineering, Material Science and Processing, Mechanical Design, Mechanical Power Engineering, Mechatronics, MEMS and Nano Technology Multibody Dynamics, Nanomaterial Engineering, New and Renewable Energy, Noise and
Vibration, Noise Control, Non-destructive Evaluation, Nonlinear Dynamics, Oil and Gas Exploration, Operations Management, PC guided design and manufacture Plasticity Mechanics, Pollution and Environmental Engineering, Precision mechanics, Mechatronics, Production Technology, Quality assurance and environment protection, Resistance and Propulsion, Robotic Automation and Control, Solid Mechanics, Structural Dynamics, System Dynamics and Simulation, Textile and Leather Technology, Transport Phenomena, Tribology, Turbulence and Vibrations.

So far Computational Fluid Dynamics (CFD) has focused on grid‐based methods, where two different frames are usually considered for describing the physical governing equations, namely: the Eulerian and the Lagrangian description (Table 1).
The development of mesh free methods offers a reliable approach to tackle the simulation of such difficult problems.
In numeric simulation, larger resolution will help reduce errors, which are inevitable in floating point calculation; larger problem domain often means more analogy with realistic experiment and better simulation result.
For this reason, numerical simulation about tsunami wave from submarine slide are very necessary.
The development of mesh free methods offers a reliable approach to tackle the simulation of such difficult problems.