Application Pages

Impact of Shield Thickness on Reducing Stray Losses (T.E.A.M. Problem 21c)

There are two types of shields in this benchmark: one single silicon steel sheet or copper plate (M1 or EM1), or three separated silicon steel sheets or plates M2 or EM2). The transformer wall is made out of magnetic steel.

Link to example

Improved Iron Loss Prediction in Transformers

This example shows that a MagNet time-harmonic solver can predict the same iron loss as a transient solver within a fraction of the time. A 90 % reduction in solution-time was achieved in this example of 100 kVA single-phase distribution transformer.

Link to example

Induction Heating of a Workpiece Past the Curie Point

A workpiece is placed inside an inductor coil, the eddy current losses raise its temperature past the Curie point, which in turn affects the distribution of the eddy currents. To correctly simulate this process a fully coupled electromagnetic-thermal field solver and temperature dependent material database, which is the case for MagNet and ThermNet, is required.

Link to example

Investigating the Complex Characteristics of an Hybrid Electric Vehicle Motor

HEV motors are characterized by high power density and high output torque over a wide range of operational speeds. Field weakening and operation in the constant-power speed range (CPSR) is key to operating at a wide range of vehicle speeds without the need for excessive gearing. MotorSolve is able to provide useful results to investigate these complex characteristics.

Link to example

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.

Link to example

Iron Loss Calculations in Laminated Structures

Most core loss calculation approaches apply Epstein frame data neglecting a number of significant factors such as drive types and differences between flux density. MagNet takes into account the histories of flux density in various parts of the machine, the drive type and separates the loss sources at the component level. Using the example of an interior permanent magnet motor, this novel approach is demonstrated.

Link to example

Iron loss separation in high-torque BLDC Motors

Using MotorSolve BLDC, the iron loss trends in a high-torque BLDC motor with respect to electrical loading, drive types (sinewave and six-step drive) and rotor back iron depth are computed. The need for FEA based analysis is demonstrated here, as well as a simple application of the results that helps the engineer set electrical loadings for this machine.

Link to example

Minimizing the Cogging Torque in a Brushless DC Motor

OptiNet is used with MagNet in order to minimize the cogging torque by varying the geometry yet maintaining a certain running torque in a brushless dc motor. This optimization run took an hour to complete and resulted in reducing the cogging torque by 77%.

Link to example