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Robust Process Design for Continuous Casting Based On Numerical Simulation and Experimental Study Zuo Shilun Chongqing University of Science&Technology, Chongqing 401331, China zuoshilun@126.com Keywords: Robust Optimization, Numerical Simulation, Process Parameters, Continuous Casting Abstract.
In order to improve design efficiency and reduce design cost, a new method combining numerical simulation with experimental verification was proposed in this study.
With unceasing development of professional software technology, numerical simulation plays an important role in robust optimal design [5].
Combining numerical simulation with process trail to achieve robust optimization has been attracted more and more experts and scholars, attention.
[8] Aubin J, Fletcher D F, Xuereb C, “Modeling turbulent flow in stirred tanks with CFD:the influence of the modeling aooroach, turbulence model and numerical scheme”, Experimental Thermal and Fluid Science, Vol.28, No.5, pp.431-445, 2004.

The active control method(jet flow) by applying the CFD technology based on Scale-Adaptive Simulation(SAS) model developed from two-equation SST turbulent model is used to simulate the changing of the dynamic noise in the standard cavity M219(the ratio of the length to the depth is 5), and studied the flow character, flow field structure and noise mechanism.
The SAS framework therefore offers an interesting approach for this type of simulation.
[4] Rowley C W, Cavity Flow Control Simulations and Experiments, AIAA-2005-0292
Egorov, The Scale-Adaptive Simulation Method for Unsteady Turbulent Flow Predictions.
[8] Chang K S, Hybrid RANS/LES Simulation of Deep Cavity Flow, AIAA-2004-53

In present work, numerical simulation is used to study self-rotating blades affecting the aerodynamic performance of the turbine.
It is necessary to check the independence of grid before simulation, as shown in Fig. 3.
Fig. 2: Calculateing aera and mesh figure Fig. 3: Checking curve of mesh independence CFD software, Fluent, is used to simulate the flow field, and Gambit is used to generate mesh.
The aerodynamic performance of the new turbine is significant better than traditional S-type turbine in numerical simulation
Optimal Design of A New Type of Savonius Rotor Using Simulation Analysis.

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.

In this paper, aerodynamic properties of Blended Wing Body (BWB) civil aircraft are studied by two models: one calls complete model that is computed by numerical simulation coupling equations of motion with the Navier-Stokes equations, and the other doesn’t consider the equations of motion (without dynamic response).
Some groups have studied this phenomenon by CFD methods [10], while most care the effect on airfoil or wings.
Fig. 2 The function of gust Fig.3 CFD grid of the BWB Results and discussion The flight conditions are list in table 2.

This approach is to firstly obtain unsteady surface pressure distribution by computational fluid dynamics (CFD), and then compute far/near field sound distribution by solving FW-H equation or by the Kirchhoff method.
These phenomena can be better described by unsteady simulation methods such as detached eddy simulation (DES).
The grid used in the simulation is generated using the commercial software ICEMCFD.
Detached eddy simulation (DES) is used in the current work.
The simulations show that DES yields good results agreeing with the experiment.

Simulations were performed with a ratio of radius = 0.714. 
Numerical model The numerical simulation was carried out by the Fluent 16.0 code. 
-Simulation results are in good agreement with the experimental data.
Lohse, Direct numerical simulation of Taylor-Couette flow with grooved walls: torque scaling and flow structure, Journal of Fluid Mechanics. 794 (2016) 746-774. http://dx.doi.org/10.1017/jfm.2016.179 [27] Y.
Wilcox, Turbulence Modeling for CFD.

Affecting rules of main factors are studied by experiments and numerical simulation, which provide basis for thorough research.
(a) one nozzle (b) two nozzles (c) three nozzles Fig.3 Photos for different number of nozzles Numerical simulation of different nozzle number in circulation region is done through CFD software (Fluent, Gambit) [5,6].
Simulation results are similar to experimental phenomenon.
Experimental results can be indicated by numerical simulation, which is shown as Fig.9.
Experimental study and numerical simulation are done to define affecting rules of main factors, which provide basis for thorough research.

Previous studies on the Winding Coils Temperature Since the thermal model is an essential when designing a generator, many researchers conducted their studies either using Computational Fluid Dynamics (CFD) method or Lumped Parameter technique.
For example, a CFD analysis to study stators and magnets temperature for steady-state condition only consider fixed inlet water temperature and did not include a room temperature in the analysis [7].
Ruuskanen, "Lumped-parameter-based thermal analysis of a doubly radial forced-air-cooled direct-driven permanent magnet wind generator," Mathematics and Computers in Simulation, vol. 90, pp. 218-229, 4// 2013

The paper studies the relationship between axial force and breadth of back blade by numerical simulation and experiment.
Table 1 The range of back blades breadth t back blades breadth t （mm） 2 3 4 5 5.5 t/s (%) 33.3 50 66.7 83.3 91.2 Numerical Simulation and Analysis To the centrifugal flow field numerical simulation, the first step is to using the corresponding three-dimensional CAD software to modeling the flow field area, the flow field grid by the discrete space only after modeling of the fluid region, and finally set the boundary conditions of the end CFD software is used to import mesh solver for a reasonable simulation.
And then compare the results of numerical simulation and the experiment in graph is shown in Fig. 8.
Fig. 8 The results of numerical simulation and the test Comparison graph It can be seen from the above graph that the two curves of numerical simulation result and experimental result is basically the same, which proves reliability of the numerical simulate result.
Moreover, it is clearly shown that the value of the numerical simulation result is larger than experiment result.