Infolytica Corporation Enewsletter #57
Infolytica Corp. enewsletter
Products Applications Support Company

December 8, 2011 - Issue #57

In this issue

Infolytica Corporation releases MotorSolve v2.6

AC Synchronous Reluctance Machine for Traction Application

Simulink® with MagNet - Response Surface Modeling of an Actuator

Analyzing the magnetostatic properties of a 2D axisymmetric loudspeaker design

Brushless Motor: Minimizing Cogging Torque

Coil Size Optimization - Induction Heating

IPM Motor with vector control in Simulink



Infolytica Corporation releases MotorSolve v2.6

Magnetic GearMotorSolve v2.6 includes several new features: synchronous reluctance motor templates, improved loss predictions and enhanced stator winding modeling with 3D viewing and more accurate end effect calculations.

Motor efficiency can be determined with greater accuracy due to improved loss predictions. Mechanical factors such as friction, windage and stray losses can now be accounted for.


synchronous reluctance
                motor


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AC Synchronous Reluctance Machine for Traction Application

An angled view of the synchroneous reluctance
                machine without the end winding
The rise of rare earth permanent magnet prices due to their limited supply has revived a great deal of interest in AC synchronous reluctance machines, particularly, for traction applications. In this example, a 55 KW traction motor is designed using a stator that was originally designed for a squirrel cage induction motor for a similar output rating and application. The design of the new machine uses the stator of the induction machine and only the rotor geometrical parameters and configurations are used as free design parameters to achieve the target performance criterion.

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Updated Design Examples

We have recently updated some of the design examples posted on infolytica.com in order to better reflect the functionality available in MagNet, ThermNet, ElecNet and OptiNet version 7.

Take a look at these refreshed examples to see new field plots, animations, sample models and results!

Simulink® with MagNet - Response Surface Modeling of an Actuator

Actuator
Modeling an electromagnetic actuator in a systems context is sometimes required to accurately simulate the dynamic interaction between drive circuit, actuator, and load. Response Surface Modeling (RSM), creates a functionally equivalent model of the actuator by performing a large number of static analyses at different currents and positions. Presented here is an example of an RSM, used in conjunction with the Simulink® system simulator from The MathWorks, Inc.

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Analyzing the magnetostatic properties of a 2D axisymmetric loudspeaker design

Loudspeaker modelA basic analysis of a loudspeaker design consists of analyzing the magnetostatic properties of a 2D axisymmetric design. In certain cases, 2D analysis is insufficient because of symmetry breaking features, for example, segmented magnets. In this case, a 3D model is needed. The same analyses can be performed in 3D as with the 2D analysis package.

The following diagrams show a typical 2D loudspeaker design in MagNet and the resulting contoured and shaded flux density fields, some 3D views, and the results of parameterization to the geometry of the model

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Brushless Motor: Minimizing Cogging Torque

BLDC motorsCogging torque is an undesirable effect that prevents the smooth rotation of the rotor and results in noise. In this example, OptiNet is used with MagNet in order to minimize the cogging torque by changing a number of geometric parameters while maintaining a certain running torque.

The rotor and stator use a laminated structure and there are four permanent magnets on the rotor, each magnetized to alternate between north and south.

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Coil Size Optimization - Induction Heating

Induction heating coils
In the multiple-coil configuration shown in this figure, the work piece is surrounded by six coils (coils are shown partially so that the workpiece can be seen). The objective of this optimization is to find the inner radii of the coils in order to obtain a uniform temperature in the upper portion of the workpiece.

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IPM Motor with vector control in Simulink

IPM motor with vector control in Simulink
The vector control of an Interior Permanent Magnet (IPM) Brushless DC motor involves running both Simulink and MagNet transient solvers simultaneously. .

Co-simulations allow the strengths of two separate simulators to be combined, in this case the powerful system-level simulation of Simulink with the dynamic electrical machine analysis of MagNet. A continuous data exchange between the two keeps the shared quantities (voltages and currents) synchronized.

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Feb. 5-9, 2012
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