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And there are few literatures about it, and most articles focus on simulation of CFD, which needs lots of original data such as border terms and initial conditions.
Numerical simulation and analysis of transport air conditioning system integrated with passenger compartment[J].

To achieve this, the computational fluid dynamics method (CFD) is employed in the design and positioning of the dust sensor.
This simulation yields insights into the resulting air velocity, allowing for an observation of how the propeller's airflow characteristics generate lift for the drone.
The simulation provides insights into the air velocity generated by the propeller and how it generates lift for the drone.

Reutzel1,3 1 Institute for Space Simulation, DLR, D-51170 Köln, Germany 2 Key Lab of EPM, Northeastern University, Shenyang 110004, P.
Multiphase Phenomena and CFD Modeling and Simulation in Materials Processes, TMS, Warrendale (USA) 2004, p. 55 [16] L.

When the problem lies in the determination of the temperature in a transient regime, the task is much more complicated, since the thermal inertia of the thermocouples makes it difficult to determine the local temperatures instantaneously [3], being crucial the use of simulation to predict the temperature profiles of the fluid in a dynamic regime, allowing the evaluation of the approximate time to the system reach to the steady-state condition.
Geometric and Thermo Physical Data The geometric parameters used in the simulation were L2 = 0.1 m, L1 = 0.05 m and H = 0.194 m.
Ross: in Second International Conference on CFD in the Minerals and Process Industries (CSIRO), Melbourne, Australia, (1999), p. 273

The Construtal approach was combined with numerical simulation to analyze these features and capture the differences between flow profiles in different T-shape structures.
The computational modeling and numerical solution were developed with the Computational Fluid Dynamics (CFD) code, ANSYS® FLUENT, through the coupled solution of mass and momentum balance equations, along with the Pressure-Based formulation to which it is applied for low-velocity incompressible fluids and the laminar viscosity model.
To reduce the processing time of the simulations the parallel processing technique was used, using a computer with Intel® Core ™ i7-6700HQ 3.5 GHz processor with 16.0 Gb of RAM.

Alternatively, numerical [2] and laboratory simulations such as wind tunnel experiments [6], [7], [8] have been used to observe the flow of neutral boundary layers over complex terrain and buildings.
This simulation replicates the motion performed in actual experiments, where data is collected at regular intervals to display the velocity, turbulence, and pressure distribution in the test section.
Zaki, “Effect of Mesh Refinement on Vertical and Lateral Velocity Profiles of the Wake Flow Behind a Spire Using Computational Fluid Dynamic (CFD),” Journal of Engineering and Technology 108 Journal of Engineering and Technology, vol. 14, no. 2, pp. 2180–3811 [3] M.

Researchers are interested in experiments more than in numerical simulations of fire behavior to better understand its mechanisms.
Mouangue, «CFD studies of the propagation and extinction of flame in an under-ventilated and over-ventilated enclosure», Journal of Taibah University for Science, 10/3 (2016) 393–402
Bianzeube, «CFD studies of soot production in a coflow laminar diffusion flame under conditions of micro-gravity in fire safety», Journal of Taibah University for Science, 11/4 (2017) 566–575

These are “part scale modelling and simulation” and “atomistic modelling and simulation”.
Zou, J., Simulation de la solidification eutectique équiaxe. 1989
Anderson, M.P., et al., Computer simulation of grain growth—I.
Meskas, Lattice boltzmann method for fluid simulations.
Simulation by a cellular automata method.

The investigation of the temperature distributions along the length of the extended surfaces was performed both analytically and by using Computational Fluid Dynamics (CFD) software.
With the applicable boundary conditions at, y = 0, θ = 1 and y = (Lδf)×λf αδf12 Q=UA Tw- TFl (5) -dθdy = αlλf αλf δf12 θ The heat flux through the fin is represented by equation (5) (Tables 7(a) & (b)); Where Tw= Fin base temperature (K), TFl = Fin temperature (K) Table 7: (a) Heat Flux for analytical(1D) and simulations(2D) for the short plain rectangular fin and (b) the long plain rectangular fin.
Table 8: (a) Heat Flux for analytical (1D) and simulations (2D) for the short radial rectangular fin and (b) the long radial rectangular fin.
The results obtained using analytical method are not compatible with those obtained by simulation using Fluent 13.0.
For this fin geometry, the results obtained using analytical method are not compatible with those obtained by simulation using Fluent 13.0.

A study on temperature distribution of thermal battery by numerical simulation.
Modeling and simulation of the heat transfer in a thermal battery.
In ECCOMAS CFD 2006: Proceedings of the European Conference on Computational Fluid Dynamics, The Netherlands, September 5-8, 2006.