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.% Colloid pH value 10 Incident angle Vertically (90°) Incident distance 1mm Nozzle diameter 0.2 mm Intensity of pressure 2 MPa Total processing time 6 hours Based on the above experimental parameters, a computational fluid dynamic (CFD) model for Non-submerged jet has been developed to investigate the hydrodynamics in nanoparticle colloid jet machining with small diameter nozzle.
According to the above simulation results, corresponding experimental parameters, such as dwelling time and scanning path can be developed to control the shapping process and accomplish surface shape correction.

Effect of spark timing on performance of a hydrogen gasoline engine Weibo Shia, Xiumin Yub, Ping Sunc State Key Laboratory of Automotive Simulation and Control, Jilin University, Renmin Street 5988, Changchun, Jilin 130022, China acappuccino_shi@sina.com, byuxm@jlu.edu.cn, c2669178718@qq.com Keywords: Spark timing, hydrogen, hydrogen-gasoline engine, excess air ratio, lean burn Abstract.
Vol. 88 (2011), p. 502-507 [4] Yang Z, Si A, Wang F, Guo N, Research into the formation process of hydrogen-air mixture in hydrogen fueled engines based on CFD.

Jacob,2005, CFD analysis and experimental investigations towards optimizing the parameters of Ranque–Hilsch vortex tube, International Journal of Heat and Mass Transfer 48, 1961–1973 [4].
Computational fluid dynamics simulation of length to diameter ratio effects on the energy separation in a vortex tube, Thermal Science, Year 2011, Vol. 15, No. 3, pp. 833-848 [6].

Three new shapes of hull bow design for the multipurpose amphibious vehicle were conducted at several speeds to investigate the hydrodynamic phenomena using Computational Fluid Dynamics (CFD, RANS code) which is applied by Ansys-CFX14.0 and Maxsurf.
Initial resistance and flow visualization simulation showed that water enters into the driver compartment and that there is a need for a hydrodynamic bow shape in order to prevent water build-up at the front of the driver’s place [5].
The computational setting for using the ANSYS-CFX is tabulated in Table 3 as follows: Table 3: Computational setting Parameter Setting Computing 64-bit Desktop pc 16GB of RAM Simulation type Steady state Mesh type Unstructured hybrid (tetrahedral/prism) Turbulence model k-w (Shear stress transport) Wall modeling Automatic wall function based on a law of the wall formulation Advection scheme CFX high resolution Calm Water Resistance The calm water resistance needs to be established together with the added resistance for the different bow shapes to be able to evaluate the total performance of the design on a typical voyage.

Simulation.
Numerical Simulation Using ANSYS Fluent.
Simplified geometry for CFD analysis.
Simulation Setup in ANSYS Fluent.
Simulation result for Silicon Oxide Nanoparticle.

., delta winglet.[1] described the 3-D numerical simulation to examine the effect of strike-angle and shape winglet vortex generator (WVG) for heat transfer.
They used the Pareto optimal approach or calculating the higher value of factors to attain the most significant heat transfer enrichment with low-pressure drop. [11] represented the performance of channel drift with dissimilar VGs connected to the lower surface by 3-D numerical simulations.
They used the ANSYS software to find out the heat transfer rate with the CFD module.
“Numerical Simulations of Performance of Plate Fin Tube Heat Exchanger Using Rectangular Winglet Type Vortex Generator with Punched Holes.”
“Numerical Simulation on Performances of Plane and Curved Winglet Type Vortex Generator Pairs with Punched Holes.”

The entire simulation process and its results are presented using the computer tool COMSOL Multiphysics 5.4.
"Numerical simulation of flow around diamond-shaped obstacles at low to moderate Reynolds numbers."
"Numerical simulation of forced convective heat transfer past a square diamond-shaped porous cylinder." 
"LBM simulation of unsteady flow and heat transfer from a diamond-shaped porous cylinder." 
"Finite Element Simulation of Newtonian and Non-Newtonian Fluid through the Parallel Plates Affixed with Single Screen."

For example Gut et al. [2] developed a mathematical model in algorithmic form for the steady simulation of plate heat exchangers with generalized configurations.
The computational domain contained a corrugation channel, and the simulations adopted the SST k-ω turbulence model.
The numerical simulation results in terms of Nusselt number and friction factor were compared with limited experimental data and existing correlations in order to verify the accuracy of the numerical model.
To optimize a heat exchanger, we have to create a model and a computational mesh and use computational fluid dynamic (CFD) software.
Radermacher, Numerical simulation and optimization of single-phase turbulent flow in chevron-type plate heat exchanger with sinusoidal corrugations, HVAC&R Res. 17 (2011) 186 - 197

Wood, Numerical simulation of idealised three-dimensional downburst wind fields, Eng.
Sarkar, Experimental measurement and numerical simulation of an impinging jet with application to thunderstorm microburst winds, J.
Ou, A revised empirical model and CFD simulations for 3D axisymmetric steady-state flows of downbursts and impinging jets, J.
Wilson, Numerical and analytical simulation of downbursts wind loads, Eng.

The study for Tesla engine was conducted widely in analytical field, experiment field, and recently CFD field [5-9].
[9] Andrés Felipe Rey Ladino, Numerical Simulation of the Flow Field in a Friction-Type Turbine (Tesla Turbine), Diploma thesis of The Institute of Thermal Power plants, ViennaUniversity of Technology, Vienna, 2003