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Based on the provided parameter, hydraulic design of the pump has been done by CFD method.
CFD Results.
The internal flow field in the pump is simulated using CFD method to check the velocity magnitude distribution.
At last, one impeller with coupled diffusers was designed by CFD method.
Flow field simulation results shown that the velocity in the pump was well controlled even at large flow capacity.

The filling and cooling simulations, implemented by using the computational fluid dynamics (CFD) and heat transfer (HT) modules of COMSOL, require the simultaneous solution of non-Newtonian multi-phase flow (polymer/air) and thermal fields in non-isothermal condition and transient regime.
Framework The filling and cooling simulations, implemented by using the computational fluid dynamics (CFD) and heat transfer (HT) modules of COMSOL, require the simultaneous solution of non-Newtonian multi-phase flow (polymer/air) and thermal fields in non-isothermal condition and transient regime.
The simulation of the crystallization kinetics is performed with the in-house developed microstructure simulation tool SphäroSim.
Part used for the simulation Figure 4.
Simulation areas picked for the microstructure simulation.

So, the numerical simulation presented in this paper was applied for such as test spindle.
Table 1 Parameters of the test spindle Parameter Value/Type Rotational speed (rpm) 0-4500 Bearing span (mm) 322 Max diameter of shaft(mm) 100 Length of shaft(mm) 476 Preload (N) 570 Front bearing B7211-C-T-P4S Rear bearing B7208-C-T-P4S Base oil Kluberspeed BF 42-12 Numerical Simulation To the classic spindle a steady state thermal coupled with a static mechanical simulation is used and for water cooled spindle a computational fluid dynamics (CFD) coupled with static mechanical is used.
For CFD simulation the generated heat loads are the same with the steady state thermal simulation, water channels 1 and 2 are presented in Table 2 and Fig. 2 shows the water channel 1.
Pressure 1 atm Dynamic Viscosity 8.90E-04 kg/m*s Thermal Conductivity 0.6069 W/m*K Thermal Expansion 2.57E-04 1/K Thermal and CFD respectively, are coupled with the static mechanical simulation.
The numerical simulations allow the evaluation of the temperature distribution and the induced displacements.

In order to research the law of chamber shape’s influencing on Axial Force in Hydrodynamic Coupling, flow field and axial force are numeric simulated at different chamber shapes in full filling rate by using separation solver, realizable k~ε model and PISO algorithm with CFD.
Common Chamber Shape of Variable Speed Hydrodynamic Coupling Simulation Model of Variable Speed Hydrodynamic Coupling Computational Domain.
Simulation Results Analysis.
Simulation Results Analysis Axial force of different type hydrodynamic coupling.
“Design of Variable Speed High- power Hydrodynamic Coupling Based on CFD”.

The development of CFD technology can help to predict the aerodynamic performance.
It’s time-saving (compared to frequent CFD calculation) and targeted (compared to optimization algorithms that need manual intervention).
Since we could not do experiments for all the foils, some CFD methods is used here in the Dyn-Collecter.
ECCOMAS CFD 2006
Chemical Industry Press, 2001 [7] Yan Pingfan, Zhang Changshui: Simulation of artificial neural networks and evolutionary computation (2nd Edition).

This research paper presents the CFD analysis of oscillating airfoil during pitch cycle.
Density based implicit solver is used for both RANS and LES simulations with SA and K-ω SST turbulence modeling.
For turbulent model the steady state simulations are performed.
During unsteady simulation mesh is dynamics during pitch cycle and it oscillates at 0.25% of chord.
Simulation of Flow about Flapping Airfoils using Finite Element Incompressible Flow Solver,AIAA Journal, Vol. 39, pp. 253 – 260

Hence, reliable and accurate CFD simulations can be interesting for turbines' manufacturers.
Our work is inspired by many authors interested in numerical simulation of wet steam flow, e.g. [1], [2], [3], [4], [5], [6].
In our result the start of pressure rise (Wilson region) is shifted slightly downstream, but similar result was achieved by numerical simulation in the original paper [10] and by other authors as well, e.g.
It is interesting that by modifying of perfect gas model, not very different result is obtained comparing to state-of-the-art equation of state provided by IAPWS-95 or equation of state for CFD purposes.Fig. 1: Mesh for numerical simulation Fig. 2: Detail of mesh near leading edge (left) and trailing edge (right) Fig. 3: Static pressure on blade surface (left), detail of condensation shock (right)Fig. 4: Mach number in domain with M = 1 (left), 50 contours of Mach number (right) Fig. 5: Wetness in domain with saturation boundary S = 1 (left), 25 contours of wetness (right) In the following only results achieved by implementing equation of state for CFD purposes are presented.
Conclusion The main goal was implementation of real equation of state into our in-house CFD code which solves wet steam flow with non-equilibrium condensation.

The air flow rate and temperature distribution simulated by CFD (Computational Fluid Dynamics) software, and the results are consistent with that of experimental test.
Heat steady-state test and simulation The heating power of the system should be keep constant during the unsteady-state heat conduction test.
According to the experimental parameters, the temperature and air flow rate distribution of system in heat steady-state has been simulated by 6SigmaDC (CFD software, Future Facilities Co.), and the simulation results are shown in Fig. 4.
Simulatuon results by CFD software Ti1 To2 Ti2 To1 (a).
The simulation results of system air flow rate and temperature distribution by 6SigmaDC are consistent with the experimental test values.

The study had gave an insight for the bubble growth and provided critical information for the theoretical modelling and numerical simulation [9].
The bubble formation and growth were included into the fluid flow simulation.
In addition, the models for bubble nucleation and growth were implemented into the CFD codes to predict the bubble formation and growth phenomenon.
Pressure based algorithm was employed in current work to calculate the hydrodynamics phenomenon through CFD codes.
Result and discussion The CFD simulation of bubble formation and growth across an orifice had successfully being simulated.

All of these make the numerical simulation of propeller is the one of most challenging problems in computational fluid dynamics (CFD).Many researchers and designers use experimental techniques and simplified numerical method based on potential flow theory, such as vortex lattice method, boundary element method, so far.
Most of the studies show great advancement of CFD technologies and feasibility of the approaches.
Chen[6] presented a simulation of propeller P4118.
The CFD results are presented for comparison and validation, as well as flow field analysis.
It is selected by ITTC to validate the Compute Fluid Dynamics (CFD) method.