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          2008 Int ANSYS Conf Electronic CFD Validation Motors

          admin
           
          2008 International ANSYS Conference
          TEFC Electric Motors: CFD-Based Design Validation
           
          WEG Electric Equipment –Motors
           
          This is WEG -Foundation
          September 16th, 1961 –Jaraguá do Sul -SC -Brazil
          Capital US$ 12,000.00 = 3 VW Beetle
          *WEG in german means way.
           
          This is WEG -Products
          “The largest transformer made by WEG”
          “The largest die cast iron frame of the world”
           
           
          This is WEG –After 47 years
          -Exports since 1970
          -Sales to 5 Continents (100 Countries)
          -Branches abroad: USA, Mexico, Argentina, Venezuela, Belgium, Germany, France, Spain, England, Sweden, Italy, Portugal, Japan, Australia, Chile, Colombia, India, China, Singapore and Emirates.-Seven plants in the exterior:Argentina, Mexico, Portugal, India and China.
          -Exportation: 39 % of the income
          -Employees 2008: 22000 (estimated)
          Income 2008:US$ 3,34 Billion (goal)
           
          Function of Electrical Motors
          Function: Convert Electrical Energy in Mechanical Energy
           
           
          Heat Sources and Fan Systems
          External Fan System
          Internal Fan System
          Heat Sources
           
          Evaluation of Fan System -External
          Quantitative
          Qualitative
          Smoke generator
          Automatic hot wire anemometer system
           
          Evaluation of Fan System -Internal
          How to evaluate the internal fan system in a electric motor?
          Problems:
          -Difficult to access;
          -Risk of electrical shock;
          -Difficult to do qualitative analysis.
           
          Alternatives? Use of Numerical Softwares –CFD.
          Evaluation of Fan System -Internal
          How accuracte can CFD be?
           
          First Discretization of the Problem
          Physical Domain
          Numerical Domain
          Transposition aid of a 3D coordinate-measuring machine
           
          Data Acquisition (Air Flow)
          TSI Hot Wire Anemometer, model 8465.
          Data Acquisition Software (in house)
          0.5 mm Mechanical Pencil
          Max. Air Velocity
          Min. Air Velocity
          Measurement Interval
          Mean Air Velocity
           
          Measurement Points (Air Flow)
          Example of Radial Points (RD-005-X and RD-095-1)
          Example of Axial Points
          (AR-100-X and AR-140-X)
          140 mm
          100 mm
          AR-100-X
          AR-140-X
          Measurement Points (Air Flow)
          RD-005-X
          RD-095-1
           
          Data Acquisition (Fan Consumption)
          Power Analizer
          Special Device
          Auxiliar Electric Motor
          Measurement Results (Air Flow)
           
          Numerical Simplifications
          Physical Domain
          Numerical Domain
           
          Simulation Domain
          Periodic Symmetry (1/4)
           
          Stationary Domain
          Simulation Domain
          Rotating Domain
          Additional data: steady state regime, stage interfaces, convergence criteria 5.10-5(rms)
           
          Steady State Results (non converging)
          Iteration 299Iteration 399
          Velocity Streamlines
          Residual Values
          Iteration 299Iteration 399
          Steady State Results (non converging)
           
          Steady State Results (non converging)
           
           
           
          Mesh Transition
          Mesh Size 554.861 nodes
           
          Results for y+
          y+mean=5.55
          y+max=16.33
          y+min=0.03
           
           
          Differences Between Domains
          Temporal Average
          Residual Values
          Velocity Monitoring
          Steady State
          Transient
          Temporal Mean
          Additional data: transient regime, frozen rotor interfaces, convergence criteria 5.10-5(rms)
          (Stage)
          (Frozen Rotor)
           
          Air Flow –Time of Simulation
          Time over streamlines
           
          Air Flow –Geometric Mean
          Physical Domain
          Numerical Domain
          RD-005-6
           
          Air Flow -Results
           
           
          Air Flow –Error @ 3600 rpm
           
          Analyses for Results @ AR-100-6
          Hot wire anemometer sensor
           
          Analyses for Results @ AR-100-6
          Hot wire anemometer sensor
           
          Air Flow –Results @ 1800 rpm
           
          Fan Energy Consumption
          Additional data:
          -steady state regime;
          -stage interfaces;
          -convergence criteria: torque stabilization.
           
          Fan Energy Consumption (Simulation)
          Additional data:
          -
          Shell script and 400 interations by rotation speed.
           
          Fan Energy Consumption -Results
           
          Conclusions and Next Steps
           
          The methodology used allowed to address efforts to the aspects related to numerical problems, eliminating uncertainties due to the geometric aspects. As a result, the numeric parameters that are essential for the study of the internal air flow of electric motors were obtained.
           
          This work discussed the problem of numerical convergence and proposed a methodology to deal with this situation. Once defined the numerical methodology, it was possible to continue with the optimization problem.
           
          The SST turbulence model, allied with the automatic wall function model, resulted in good agreement between numerical and experimental analyses, not only regarding to the punctual comparisons of the air speed, but also the power consumption of the external fan system.
          Next Step: Include heat transfer and optimization processes.
           
          Acknowledgment
          The authors want to thank:
           WEG, for the support and testing facilities;
           ESSS (Engineering Simulation and Scientific Software), for the support to ANSYS-CFX;
           Mr. Regis Ataides for having made feasible this presentation;
           ANSYS for the invite.THANK YOU!
           
           
           
           
           

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