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COMPUTER AIDED PROCESS OF DESIGNING THE MECHATRONIC SILESIAN GREENPOWER ELECTRIC CAR Andrzej Baier1, Maja Baier 1, Michał Sobek 1, Łukasz Grabowski 1, Dawid Dusik1, Piotr Papaj 1 1Silesian University of Technology, Faculty of Mechanical Engineering, Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Konarskiego 18A, 44-100 Gliwice, Poland andrzej.baier@polsl.pl Keywords: Engine Test Stand, FEM, CFD, Silesian Grenpower, Racecar.
Using Siemens NX 8.5 system there was model of engine test stand designed basing on analytical calculations. [7] Mass of Silesian Greenpower bolid was modeled as properly designed driven shaft. [6] The next step was to create a simulation using Motion Simulation module and recurdyn solver.
Using computer simulation determining kinematic and dynamic properties of bolides’ elements is possible.
Dogan, Simulation of Turbulent Flow over the Ahmed Body, TUIPH, Iowa/United States 2010 [2] W.
Fuchs, Experiments and numerical simulations on the aerodynamics of the Ahmed body, CFD Letters, Vol. 3(1) 2011 [3] E.

Numerical Simulation on Fire Smoke Flow with Jet Fans in an Underground Garage Ying WANG, Biming SHI, Chaomin MU College of Energy and Safety, Anhui University of Science & Technology, Huainan Anhui 232001, China Email: 673705604@163.com Keywords: Fire smoke, Jet fans, Underground garage, Numerical simulation Abstract With the aim of evaluating capabilities of a ventilation system with jet fans to control fire smoke in an underground garage, we carried out a set of FDS simulation.
In order to ensure the fire safety in underground garage, a set of FDS simulations based on the large eddy simulation (LES), was carried out to present the details of fire smoke, soot density, as well as temperature in this paper.
This means we can believe the simulation results in the following discussions.
The comparison of heat release rate between experimental and numerical simulation results has shown an overall good agreement, revealing the accuracy and usefulness of FDS simulation.
CFD study of smoke control inside enclosed car parking.

The simulation results were compared to experimental data for validation.
The Fluent 6.3 commercial CFD code was used to complete all calculations. 1 Model Setup and Numerical Methods 1.1 Model Geometry and Grid Topology.
In this simulation V0=0.99m/s and the initial height h=0.05m above water surface.
The simulation results of the 0 degree transducer was shown in Fig.5.
Anttonen: Transonic Store Separation using Unstructured cfd with Dynamic Meshing.

In addition, CFD was used to investigate the internal design enhancements and the parameters effects [28-30].
Accordingly, unlike previous optimization studies that primarily focused on steady-state simulations or CFD-based design improvements, this study focuses on enhancing the performance of HTPS in the WQ-2 field using AH V.14 by identifying and selecting the optimum parameters.
[12] Al-Mhanna, N.M., Simulation of high pressure separator used in crude oil processing.
CFD Analysis and Optimization of Three Phase Oil Separator. in Proceedings of the International Conference on Systems, Energy and Environment. 2022
CFD characterization of liquid carryover in Gas/Liquid separator with droplet coalescence due to vessel internals. in SPE Annual Technical Conference and Exhibition?

Having obtained the final solutions, the actual functions are found using computational fluid dynamic (CFD) analysis.
PBIL: Generate a population X from Pij PBIL: Initialization k=0, (B) Probability matrix Pij(k), archive A = {} PBIL: Find non-dominated solutions from A È X and update the archive A PBIL: Update the probability matrix Pij No LHS: Sampling real functions size of Nd evaluated by CFD KRG: Fit the Gaussian model Stop?
no yes PBIL: Generate a population Y from Qij PBIL: Find non-dominated solutions from Y and update the archive B PBIL: Update the probability matrix Qij k=k+1 PBIL: Initialization t=0 Probability matrix Qij(t), archive B = {} KGR function prediction CFD function evaluation t=t+1 Fig. 3 Flowchart for hybrid PBIL and KRG Design Problem Pin-Fin Heat Sink Model.
Materials and air properties and the assumptions of heat-flow in this simulation are detailed in [5].
Fig. 4 Physical model of pin-fin heat sink In the design process, an automated procedure was achieved by interfacing the CFD software into MATLAB.

CFD Analysis of Hypersonic Combustion of H2-Fueled Scramjet Combustor with Cavity Based Fuel Injector at Flight Mach 6 K.M.
These numerical simulations are aimed to study the flow structure, supersonic mixing and combustion for cavity based injection.
Approximations and idealization · The flow is considered to be in steady state · The flow is assumed to be two-dimensional · The k-ω SST computations Model is taken in to consideration · The gas is compressible, obeying the ideal gas laws · For all simulations, wall temperatures were set to Twall = 1000K Results and Discussions Validation of CFD work (c) Fig. 3 Computational results for L/D =3 without aft angle (a) Streamline and pressure contour (left: Gruber’s computational visualization (b) Computational streamlines and contour plot of pressure (c) Wall static pressure distribution Fig. 4 Wall pressure distribution for L/D=3 with the aft angle, q=30o Figure 3 presents the surface pressure distribution along the cavity wall for the case of L/D= 3.
Radhakrishnan, Simulation of unsteady hypersonic combustion around projectiles in an expansion tube, Shock Waves Vol.11, pp.167–177, (2001)
Pandey and S.Roga, CFD Analysis of Scramjet Combustor with Non-Premixed Turbulence Model Using Ramp Injector, Applied Mechanics and Materials, Trans Tech Publications, Switzerland, Vol.555, pp.18-25, (2014).

Ying Zhang [5] simulated the granular flow field of the straight cut-in single and double-inlet cyclones by software CFD, and concluded that the separation efficiency of the double-inlet cyclone was higher than that of the single-inlet cyclone.
Simulation Model Size and Mesh Division of Cyclone Model in Simulation.
Numerical Simulation Method.
Slack, CFD Analysis of a cyclone, Fluent Europe Ltd.
A Thematic Network for Quality and Trust in the Industrial Application of CFD.

The steady and unsteady numerical simulations of the inner flow in the fan at different working conditions were presented using the CFD method.
The numerical simulation results were validated by contrasting to the experiment results.
In order to make sure the stability of the unsteady simulation, the steady numerical simulation is done at first based on the same mesh subdivision, after that, the results of the steady simulation are used as the beginning field to proceed with the whole passage unsteady simulation inside the multi-blade centrifugal fan.
Simulation results and analysis Comparison between simulation and experiment.
The P-Q curve based on the simulation result is shown Fig. 3.

Computational fluid dynamics (CFD) is an excellent tool to study the cooling issues in data centres.
In the last decade, extensive research has been conducted to study thermal management in data centres using CFD [1-3].
A CFD analysis has been performed to provide detailed flow and thermal fields.
CFD Simulation The data centre selected for this study is modelled as a 177 m2× 3.2 m enclosure located over a 0.6m deep plenum as shown in Fig. 2.
From CFD results, rack and CRAC inlet and outlet temperatures are obtained and the total exergy destruction in the airspace is calculated.

The simulations were conducted in a transient regime considering the pulsed effect inside the veins.
The host artery diameter, D, was fixed to 3 mm for all simulations.
As explained by Celik et al. in Ref. [13], this procedure is suitable for calculating and reporting discretization error estimates in CFD simulations.
Deplano, Three-dimensional numerical simulations of flow through a stenosed coronary bypass, Journal Biomech. 8 (2000) 1011-1022
Freitas, Procedure for estimation and reporting of uncertainty due to discretization in CFD applications, Journal of Fluids Eng.