Understanding T-Shaped Electromagnetic Actuators Through 3D FEM Analysis

A T-Shaped Electromagnetic Actuator

This article discusses the outcomes of a 3D FEM simulation on a T-shaped electromagnetic actuator, crucial for efficient actuator design. Utilizing EMS software, the study examines magnetic parameters such as flux, force, and speed. Results, compared with experimental data, analyze the coil's force relative to ampere-turns and air gap distance. Additionally, motion analysis, coupled with EMS, computes linear displacement and velocity.

Figure 1 depicts the actuator's geometry, while Table 1 lists its main dimensions [1]. Figure 2 illustrates the 3D model.

Geometry of the T-shaped electromagnet
Figure 1 - Geometry of the T-shaped electromagnet [1]
 
Table 1 - Dimensions of the electromagnet
h 52.5 g 19.8 f 6.30 hb 31.2
h1 7.90 ha 57.8 R 6.50 Lb 7.50
h2 7.90 La 28.3 R1 12.30 d1 2.40
L 50.90 La1 13.0 ga 14.30 d2 3.00
L1 6.35 c 4.65 x 1.60 d3 2.10
L2 6.35 d 4.00 y 4.20 d4 2.25
L3 16.5 e 2.60 t 6.00 R2 2.40
 

 3D Model of the T-Shaped electromagnet
Figure 1 - 3D model of the electromagnet structure
 
 

3D EM simulation

Parametric Analysis conducted through EMSEM simulation enables comprehensive exploration of various electromagnet aspects across multiple scenarios. EMS facilitates the simultaneous evaluation of numerous cases by parameterizing simulation and geometric variables. Utilizing EMS's Magnetostatic study type, magnetic results like flux density, field intensity, force, and torque are computed and visualized. This study focuses on determining the magnetic force generated by the actuator concerning both air gap distance and ampere-turns.

Simulation Setup: The analysis begins with the creation of a parameterized Magnetostatic analysis, with ampere-turns and air gap distance as the parametric variables. Table 2 outlines the simulated scenarios.

Table 2 - Simulation scenarios

Scenarios Air gap length (mm) Ampere-turns (A-t)
scenario 1 2 575
scenario 2 3 575
scenario 3 4 575
scenario 4 5 575
scenario 5 6 575
scenario 6 7 575
scenario 7 2 460
scenario 8 3 460
scenario 9 4 460
scenario 10 5 460
scenario 11 6 460
scenario 12 7 460
scenario 13 2 345
scenario 14 3 345
scenario 15 4 345
scenario 16 5 345
scenario 17 6 345
scenario 18 7 345

2. The ferromagnetic parts are made of non-oriented steel. Figure 3 contains the BH curve of the used steel. The coil is made of copper.

B-H curve

Figure 3 - B-H curve [1]

3. Figure below shows the meshed model. It is possible to define specific mesh element sizes on selected surfaces or bodies.

Meshed model
 
Figure 4 - Meshed model

For the scenario with 460 A-t and a 6 mm air gap, Figure 5 illustrates the magnetic flux density, predominantly following the steel path with high permeability. Meanwhile, Figure 6 depicts a vector plot of magnetic flux density at 575 A-t.

 

Comparing the magnetic force computed via EMS to experimental measurements [1] (shown in Figure 7), it's evident that force, directly proportional to coil ampere-turns, increases from approximately 4 N at 460 A-t to about 6.3 N at 575 A-t. Notably, force amplifies with reduced air gap distance, as larger gaps lead to higher magnetic reluctance, resulting in diminished flux and force.

Examining the force curves reveals maximal values at 2 mm and minimal values at 7 mm air gap length for each curve. Specifically, the highest force is observed at 575 A-t and a 2 mm air gap length, as depicted in Figure 7.

Figure 5 - Cross-section plot of the magnetic flux density (460A-t, 6mm)
 
 
Figure 6 - Vector plot of the magnetic flux density
 
Comparison of the magnetic force computed by EMS and measured by experimental tests 
 
Figure 7 - Comparison of the magnetic force computed by EMS and measured by experimental tests

Motion Simulation

EMS offers the ability to integrate electromagnetic fields with motion through coupling. The electromagnetic force computed by EMS is utilized by SW Motion's solver to generate mechanical motion. Figure 8 illustrates the motion study settings.

In Figure 9, a cross-sectional view showcases the magnetic flux density plot within the moving plunger and the core at 0.025s (AT=575 A-t). Initially, at t=0s, the plunger's position is Y=0 mm, with an air gap distance of 7 mm.

 Motion study settings
Figure 8 - Motion study settings
 
Figure 9 - Section plot of the magnetic flux density

Figures 10a) and 10b) depict the magnetic force computed by EMS acting on the moving part and incorporated into the SW motion analysis, respectively, plotted against position and time. At 0 mm, the force measures F=1.4N, increasing to approximately F=6.20N at Y= -0.0049m (refer to Figure 10a). These findings closely align with those presented in Figure 7 (575 A-t). Notably, the force on the plunger reaches 33.16N at 0.01s (see Figure 10b).

 Force results, a) versus position, b) versus time
Figure 10 - Force results, a) versus position, b) versus time

In Figures 11a) and 11b), the plunger's position over time and the instantaneous linear velocity are depicted, respectively. At 0.01s, the velocity peaks at 1.67 m/s, correlating with the force's influence on velocity.

 a) Center of mass of the plunger versus time, b) Linear velocity of the plunger
Figure 11 - a) Center of mass of the plunger versus time, b) Linear velocity of the plunger

Conclusion

The application note delves into the comprehensive 3D FEM simulation of a T-shaped electromagnetic actuator, highlighting its performance in generating magnetic force, and flux density and enabling precise motion control. Utilizing EMS software, the study scrutinizes the actuator's magnetic parameters through parametric analysis, considering variables like ampere-turns and air gap distances. The simulations demonstrate a direct relationship between coil ampere-turns and the magnetic force exerted, with force increasing alongside ampere-turns and decreasing air gap distances. This relationship underscores the actuator's efficiency in converting electromagnetic force into mechanical motion, as evidenced by motion simulations that reveal the actuator's dynamic response under varying electromagnetic conditions.

The findings, corroborated by experimental data, confirm the simulation's accuracy in predicting the actuator's behavior, showcasing the potential of EMS software in optimizing electromagnetic actuator designs. The integration of electromagnetic fields with motion analysis further exemplifies the actuator's capability to achieve targeted linear displacement and velocity, essential for precision applications.

References

[1]: Alin-Iulian DOLAN, Ivan YATCHEV and Krastio HINOV . COMPARISON OF DIFFERENT FORMULATIONS AND TECHNIQUES
FOR 3D STATIC FORCE COMPUTATION OF A T-SHAPED ELECTROMAGNET. 

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