AFPM Core Design GuideEfficiency Optimization

AFPM Core Efficiency Optimization

Compare core-loss data at your design point, then use the evidence and limits below to decide what needs validation. The tool starts with operating inputs and keeps material loss assumptions explicit.

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Published September 23, 2026 · Sources reviewed October 1, 2026

AFPM core loss comparison

Calculate electrical frequency, then compare measured or datasheet loss values at the same frequency and peak flux density. Example operating values are editable; no material loss is assumed.

1. Operating point

Electrical frequency = speed × total poles ÷ 120. The defaults describe an example point, not a recommended design.

Allowed range: 500–30,000 RPM.

Even whole number, from 2 to 60.

Enter the peak flux density for the point being assessed.

Derived electrical frequency: 200.0 Hz

2. Enter material loss data

Use measured or supplier-published specific core loss (W/kg) and the test frequency and peak flux density reported with it. Both materials must match the operating point shown above.

Laminated steel

Enter a loss value from the same steel grade and condition.

As stated in the source data; compared to 0.1 Hz precision.

Use the stated test induction.

Soft magnetic composite (SMC)

Enter a loss value for the selected SMC grade and process.

As stated in the source data; compared to 0.1 Hz precision.

Use the stated test induction.

Comparison result

A point comparison of the values you enter, not a predicted motor efficiency or an automatic material selection.

Add measured or datasheet loss data to compare materials.

The result stays empty until both materials have loss, test frequency, and test peak flux density. Use the same operating point for a valid point comparison.

What an efficiency review should establish

Start with the operating point

Speed and total pole count set the fundamental electrical frequency. PWM and slotting can add harmonic flux components that this simple calculation does not capture.

Compare like-for-like data

A material grade alone is not a loss value. Match frequency, peak flux density, waveform, temperature, specimen or core geometry, and processing before drawing a ranking.

Keep core loss in system context

A lower measured core loss can help, but it does not establish higher motor efficiency by itself. Copper, magnet, mechanical, inverter, cooling, and duty-cycle losses also matter.

Validate the component route

Electrical-steel laminations and compacted SMC parts have different geometric and process constraints. Review flux path, tooling, assembly, thermal path, and cost with the actual design.

Method: compare losses at a defined point

The calculator derives the fundamental electrical frequency from synchronous speed and total poles. Material loss must then come from test or supplier data at that frequency and the same peak flux density. No Steinmetz coefficients or generic crossover threshold are assumed.

  1. 1

    Set the operating point

    Enter speed, total poles, and peak flux density.

  2. 2

    Match loss data

    Use steel and SMC data at the same frequency and peak flux density.

  3. 3

    Compare entered W/kg

    The tool compares only the values and conditions you provide.

  4. 4

    Validate the design

    Check waveform, test method, geometry, process, and temperature.

The workflow screens a defined point; it does not model harmonic flux, interpolate curves, or calculate complete motor efficiency.

Published data: useful for screening, not direct ranking

Supplier data is tied to a grade and test specimen. The examples below show why a loss value needs its conditions attached; the numbers are not a head-to-head AFPM core result.

Published supplier data examples and their limits for AFPM core efficiency decisions
Decision dimensionElectrical steel exampleSMC exampleInterpretation
Supplier loss data exampleM270-35A: maximum 2.70 W/kg at 1.5 T and 50 Hz for the 0.35 mm grade. Supplier dataSomaloy 700 1P: 9.9 W/kg at 1.5 T and 50 Hz in the cited data sheet; its test specimen and process are specified there. Supplier dataThese published examples use different specimen and process conditions; do not compare them as a material ranking.
Measurement contextIEC 60404-3 covers AC magnetic-property measurement of electrical-steel sheet and strip with a single-sheet tester at power frequencies. IEC scopeUse the specific SMC grade data sheet and its stated specimen, compaction, heat-treatment, and test method. Example data sheetMaterial-sheet measurements do not automatically represent a finished AFPM core.
Design decisionAssess the selected grade, lamination thickness, cutting and stacking route, insulation, and the actual 2D or 3D flux path.Select a grade against both magnetic and mechanical requirements; the SMC product family has different loss/permeability trade-offs. Höganäs product rangeChoose from matched component or machine evidence, not a universal frequency threshold.

Values and product availability can change. The cited supplier sheets are the source for each stated grade and test condition; request current data for a production decision.

A practical AFPM core validation sequence

  1. 1

    Map the duty cycle

    Record speed, torque, electrical frequency, flux waveform, and time at each operating region.

  2. 2

    Screen candidate data

    Compare grade-specific loss curves only where frequency, flux density, and test conditions overlap.

  3. 3

    Check the core and process

    Review flux path, saturation margin, geometry, manufacturing route, assembly stress, cooling, and cost.

  4. 4

    Validate representative hardware

    Measure a representative core or machine and reconcile the result with the loss model before locking the design.

An AFPM prototype study reported that optimization and control choices changed iron loss by around 14% between its tested configurations. That result belongs to the studied prototypes; it is evidence to evaluate topology and control together, not a general performance promise. Read the IEEE study.

Apply the comparison to your AFPM design

For a design-specific review, share the operating point, core geometry, candidate loss data, and validation target.

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Limits and risks to resolve before selection

Input and model limits

The tool checks fundamental frequency and peak flux density only. It does not verify waveform, harmonics, material grade, sample method, temperature, or whether a test sample represents the finished core.

System-efficiency limits

Core loss per kilogram is not motor efficiency. Include copper, magnets, inverter, mechanical loss, cooling demand, mass, and the actual duty cycle in the system comparison.

Manufacturing and cost limits

Do not assume a fixed scrap percentage, crossover frequency, or payback for either route. Obtain geometry-specific process, tooling, yield, and quotation data for the target production volume.

AFPM efficiency FAQ

What does the comparison tool calculate?

It calculates fundamental electrical frequency from speed and total pole count, checks whether both entered loss data sets match that frequency and the entered peak flux density, and compares the two W/kg values. It does not predict losses from material names.

How is AFPM electrical frequency calculated?

For synchronous operation, fundamental electrical frequency in hertz is mechanical speed in RPM multiplied by the total number of poles, then divided by 120. This does not include inverter harmonics or local space-harmonic effects.

Why must both loss values use the same frequency and flux density?

Specific core loss changes with magnetic frequency and flux density. Comparing values measured at different operating points can make the apparent material difference meaningless; use matching curves or test data instead of interpolating with this tool.

Does lower core loss mean higher motor efficiency?

It indicates lower entered core loss for the stated comparison point only. Motor efficiency also depends on copper, magnet, mechanical, inverter, cooling, and operating-cycle losses, plus how the core behaves in the assembled machine.

Is SMC always better at high frequency?

No universal crossover frequency applies to every topology, grade, waveform, and process. Compare the specific steel and SMC data over the intended operating range, then validate the selected design in a representative component or machine.

Can supplier sheet data be used as finished-core performance?

Use it for screening, with the supplier test conditions attached. Cutting, compaction, heat treatment, assembly stress, local flux waveform, and geometry can change finished-part behavior; verify critical values on representative samples.

What should an engineering review include?

Share the speed and torque map, pole/slot geometry, flux-density waveform, core drawings, candidate grades, process route, cooling boundary conditions, and test targets. Include loss curves with frequency, induction, waveform, and specimen details.

Related AFPM engineering topics

Sources and evidence limits

Page reviewed October 1, 2026. Supplier values describe named products and stated test conditions. They do not establish an unmeasured production-core result or guarantee an efficiency gain.

  1. Höganäs, Somaloy® 700 1P material data sheet

    Supplier loss curves and sample conditions for a specific SMC grade and compaction route; not a universal SMC value.

  2. thyssenkrupp Steel, powercore® A non-oriented electrical steel

    Supplier maximum core-loss data for named grades, thicknesses, flux densities, and frequencies.

  3. IEEE Transactions on Energy Conversion, AFPM SMC iron-loss analysis

    AFPM prototype study showing that topology and control choices affect measured and modeled iron loss.

  4. IEC 60404-3:2022

    Measurement method for AC magnetic properties of electrical-steel sheet and strip using a single-sheet tester at power frequencies.

  5. Höganäs, coated powders for electromagnetic applications

    Product-family positioning: grades address different combinations of loss, permeability, and mechanical requirements.

Need a design-specific comparison?

Share your operating points, core geometry, candidate material data, and validation target for an engineering review of an AFPM core or SMC stator program.

Discuss your AFPM core