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Core Materials, Permeability and Their Losses

25.3.2026
Reading Time: 31 mins read
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Primarily inductors consist of a coil. If we insert a core of magnetic material the inductive properties of the coil will increase. Such coils are then called chokes. This article explains the basic core materials, their losses and material permeability.

Key Takeaways

  • Inductors primarily consist of coils, and using magnetic cores, known as chokes, enhances their properties.
  • The article covers core types, material losses, and permeability, focusing on soft iron, amorphous, and ferrite cores.
  • Core materials have specific frequency ranges where they perform best, influencing inductance and losses.
  • Loss calculations often use the Steinmetz formula, but accuracy can be affected by various operational conditions.
  • Selecting the right core material involves understanding permeability and losses for optimal inductor and transformer design.

The article is split into three chapters:

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  • brief introduction into Core Types
  • Core Materials and their Losses
  • Permeability

Core Types

When we draw current through a choke electric currents are induced in the magnetic material that try to create a counteracting magnetic field. These currents are undesired both for that reason and because they create heat losses.

Figure 1. B-H curve magnetic flux density as a function of an imposed magnetic field

Homogeneous magnetic bodies are excluded; the induced current would be too high. Instead mutually isolated ribbons are used or a powder technology where the binder material between the magnetic granules limits the induced current by their resistivity.

Soft Iron Cores

The magnetic flux can be increased by means of a core of laminated soft iron or iron powder mixed with a binder. As stated in the introduction the distribution in electrically isolated disks or surface oxidized powder granules reduces the eddy current losses in the choke. The saturation induction according to Figure 1., is relatively high in chokes with iron materials in the core, up to 2.3 T. They can operate at high frequencies; metal alloys to 100 kHz and iron powders to more than 100 MHz. The temperature stability is good. The temperature range for iron powder cores is -55/+105 ยฐC.

Amorphous Magnetic Materials

Figure 2. Example of BH characteristics for a ferrite and an amorphous material.

These non-crystalline magnetic materials consist of ferro or cobalt based powdered amorphous alloys that are baked into some shape impervious material. The core material with the magnetic powder granules constitutes a core with โ€œdistributed air gapsโ€ that limits eddy currents. Another manufacturer heats up the magnetic foils/bands and precipitates the cooling process so rapidly that the metal becomes amorphous. The eddy current limitation is achieved by using these thin ribbons mutually isolated, in the cores. The ribbons are approximately 20 mm (0.8 mils) thick.

Amorphous core materials produce a narrow and high, nearly rectangular BH characteristic that has its highest inductance when the current passes through zero and a nearly negligible inductance as soon as the current reaches a certain strength. Thus the hysteresis losses will be small. The saturation flux is high (Figure 2.). For some laminated cores it is more than 1.5 T. The Curie temperature may, depending on material, vary between 200 and 400 ยฐC. The initial permeability is in some materials very high, up to 100 000.

Learn more about Saturation: Inductor Saturation Current Explained, Influence of Temperature to Inductor Saturation Current

Ferrite Core Materials

The most common inductor material is still the ferrites. They are ferro magnetic and are ceramic materials. They consist of a mixed mass of pulverized oxides of iron and other alloys that is pressed to the desired shape and then sintered. The material resistivity is much higher than that of iron and the eddy current losses correspondingly low, which makes them suitable for high frequency applications.

They have a wide range of permeabilities from 10 to 20 000 but a fairly low saturation induction, < 0.5T. The temperature range is โ€“55/+105 ยฐC. The following figure shows a comparison of characteristics of metals, amorphous materials and ferrites.

Core Shapes

There are a number of different manufactured styles and shapes. Some of the most common are shown in following figure 3. The different manufactured shapes are not shown to the same scale. Rods, E cores, toroids and pot cores are provided with a winding, either direct on the core or via a bobbin. Attenuation ferrites surround the current path.

Figure 3. Common inductor core shapes and styles

ยท a) cylindrical rod core
ยท b) toroid or “attenuation bead”
ยท c) E core with yoke
ยท d) attenuation ferrite for flat conductor cable
ยท e) pot core
ยท f) SMD ferrite.

Core Materials and Their Losses

In deeper theoretical background introducing solid material into a magnetic field, its behaviour can be classified in three groups:

  • diamagnetic materials
  • paramagnetic materials
  • ferromagnetic materials

Diamagnetic and paramagnetic materials have a relative permeability close to one. They are therefore only of limited suitability in the construction of inductive components. Ferromagnetic materials have a relative permeability between 10 and 100 000. In order to understand ferromagnetic core materials, the internal structure of these materials must be examined closer.

The atoms in ferromagnetic materials (termed magnetic materials as follows) have a magnetic moment. In the unmagnetized state, the magnetic moments of the atoms are aligned in all spatial directions, whereby atoms show a preferred direction within limited cells (Weiss domains). The boundaries between these Weiss domains are termed as Bloch walls.

If an external magnetic field is now applied, this attempts to orientate the magnetic moments along the magnetic field direction, whereby the crystal direction remains the preferred direction. This occurs because the Weiss domains with a magnetic moment in the direction of the field grow at the expense of neighboring domains. This is described as shifting of the Bloch walls. This is a reversible process within certain limits.

If the field strength is increased, the Bloch walls jump from one defect site to the next. This is then no longer reversible. If all domains are aligned, a further increase in the magnetic field rotates the magnetic moments from their crystal direction. Here one speaks of rotating processes.

This behaviour is reflected in the hysteresis curve (also known as the B-H curve) as shown in Figure 1. Reversible Bloch wall shifts predominate in the lower region of the new curve. In the middle region, where the magnetic flux density B rises almost linearly with the field strength H, the irreversible jumps of the Bloch domains (so-called Barkhausen jumps) may be identified. In the saturation range where the rise in the magnetic flux density is very much slower, the rotating processes predominate. Further growth of the Weiss domains is no longer possible.

Reducing the field strength further, many of the shifted Bloch walls remain stuck at defect sites. The magnetic flux density falls along another curve. Magnetic flux is still present even when the field strength has returned to zero. This refers to remanent flux density Br. In order to reset the flux density to zero, a certain negative field strength has to be applied, the so-called coercive field strength HC. The hysteresis curve profile is dependent on the material.

In a real design, the Bโ€‘H curve translates into a simple rule: keep the peak inductionย Bpeakย far enough below saturation that temperature, tolerances, and DC bias cannot push the core into the flat saturation region. For power magnetics, a common starting range is 0.2โ€“0.3 T for ferrites and 0.8โ€“1.2 T for ironโ€‘based cores, then refined using the core datasheet loss curves and temperature rise measurements. The closer the design operates to saturation, the more sensitive inductance becomes to current, which can strongly affect control loop stability and ripple current.โ€‹

For storage chokes, designers usually work backwards from the required inductance and ripple current to derive the maximum flux swingย ฮ”B. With thisย ฮ”B they check thatย BDC+ฮ”B/2ย stays in the โ€œlinear enoughโ€ part of the curve where permeability is relatively flat and core losses are still acceptable. For EMI chokes or beads, the target may intentionally be a region where the loss component is high, so the main constraint is not saturation but keeping selfโ€‘heating within the allowed temperature budget.

According to the value of the coercive field strength, โ€œsoft magneticโ€ and โ€œhard magneticโ€ materials are distinguished.

  • soft magnetic materials: HC < 1000 A/m are mainly used in inductive components
  • hard magnetic materials HC > 10000 A/m are mainly used as permanent magnets and with electromagnets

The area within the hysteresis curve corresponds to the core losses per cycle. At higher frequencies there are also eddy current losses.

A frequently asked question concerns core material losses and the resulting power dissipation through ripple current in the storage choke. We will provide some basic information in this section.

Expensive measuring techniques are required to determine core losses. These are generally based on the measurement of parameters defined for toroidal ferrites and in order to obtain relatively accurate results, phase-accurate power amplifiers and multiplying measuring instruments are required for power measurement with a low phase difference. The classical specification of core losses is given by the โ€œSteinmetz formulaโ€ named after its inventor:

core losses Steinmetz equation formula [1]

Pcore=kfaBbP_{\text{core}} = k \, f^{a} \, B^{b}

B = peak value of induction
Pcore
is the average power dissipation per volume unit
f is the frequency of the sinusoidal measurement voltage. For ferrites the coefficient โ€œaโ€ is between 1.1~1.9 and the coefficient โ€œbโ€ is in the range 1.6 ~ 3. An iterative approach is required for other materials in order to identify the coefficients.

However, in switching controller applications we find rectangular voltages across the storage choke. For a 50% duty cycle, the accuracy of the Steinmetz formula is already reduced, for small or large duty cycles errors of 100% can arise ! See Figure 4.

Figure 4: Example for the error in the Steinmetz formula with a duty cycle > 50% (f = 100 kHz; MnZn core)
Figure 5. Power dissipation in the core material as a function of temperature based on the example of a NiZn power ferrite

The accuracy of the Steinmetz formula is further compromised by:

  • ignoring the DC premagnetization (โ†’ a different B-H curve is produced!)
  • ignoring the current harmonics
  • ignoring the Vฮผsec product (higher Vฮผsec product ~ higher losses)
  • temperature dependence of the core material (many core materials only attain their loss minimum at elevated temperatures!)

For these reasons, all calculations with the classical Steinmetz formula must always be evaluated in the light of these facts. The safest method of assessing whether the design of a storage choke works optimally is efficiency measurement on the switching controller and the measurement of self-heating in operation (taking into account the heat coupling with hotter components such as diodes and switching transistors!).

To illustrate how to use core loss information in practice, consider a 100 kHz, 100 W flyback transformer using a MnZn ferrite core. Suppose the datasheet loss curves indicate that at 100 kHz, a peak induction of 0.2 T produces a specific core loss of approximately 80 mW/cmยณ at 80 ยฐC for the chosen material. If the core volume is 3 cmยณ, the estimated core loss is about 0.24 W, which is usually acceptable for this power level.โ€‹

If we increase the flux swing so that the peak induction rises to 0.3 T, the same curves might show specific losses of 200 mW/cmยณ. With the same 3 cmยณ core, the estimated core loss becomes 0.6 W, which adds significant heating and can force a larger core or better cooling. This simple calculation demonstrates why designers often trade some copper loss (more turns, higher DCR) for lower core loss by keeping BB in a moderate range.โ€‹

Because real waveforms are not perfectly sinusoidal and DC bias shifts the effective Bโ€‘H loop, this calculation is only a first estimate. The final step is always to verify losses with an efficiency measurement and core temperature measurement under realistic operating conditions.

Example: Material 1P2400
MnZn-ferrites are mainly used for transformers working in the range between 50 and 500 kHz. The material 1P2400 used in example, is characterized as follows in Table 1. that provides an overview of the most important parameters of the material. The permeability ฮผ is around 2400.

Table 1. Characterization of Mn-Zn ferrite material 1P2400
Figure 6. Specific losses dependent on the magnetic flux density

Figure 6. shows the specific core losses as a function of magnetic flux density at different frequencies for a sinusoidal input and temperatures of +23 ยฐC and +80 ยฐC. The core losses at +80 ยฐC are lower than at +23 ยฐC. As transformers usually work in the range between +60 ยฐC and +100 ยฐC due to self-heating, one can assume the +80 ยฐC curves when calculating losses. The so-called Steinmetz coefficients may be obtained from the curves and by entering into the Steinmetz formula the losses at other frequencies and flux densities may be interpolated.

As the magnetic behaviour of ferrites is not linear, the respective Steinmetz coefficients only apply within certain ranges. Also, switching transformers are usually not driven sinusoidally. So the calculated core loss values may deviate in reality.

Permeability ฮผ

Figure 7. Ferromagnetic material in a magnetic field

Permeability describes an important effect in ferromagnetic materials. If a ferromagnetic material is placed in a magnetic field, it is observed that the magnetic flux becomes concentrated in this material. Analogous to electric resistance, the ferromagnetic material presents a good conductor for the field lines. Permeability may therefore be described as a magnetic conducting or penetrating property.

The factor by which the induction (B) changes through the introduction of the material is called the relative permeability (ฮผr).

The equation for relative permeability is extended for the space filled by the material:

relative permeability equation [2]

ฮผr=Bฮผ0H\mu_{r} = \dfrac{B}{\mu_{0} H}

The induction in the core material (B) is given by:

induction in core material equation [3]

B=ฮผ0ฮผrHB = \mu_{0} \, \mu_{r} \, H

The relative permeability of the material is however not constant but strongly non-linear. The permeability of a material is essentially dependent on:

  • The magnetic field strength H (dependent on operating conditions โ†’ hysteresis curve)
  • The frequency f (frequency dependent complex permeability)
  • The temperature T (โ†’ temperature drift, โ†’ Curie temperature)
  • The material used

Typical permeabilities (ฮผr):

  • Iron powder cores, superflux cores: 50 โ€ฆ 150
  • Manganese-zinc cores: 300 โ€ฆ 20000
  • Nickel-zinc cores: 40 โ€ฆ 1500

Complex Permeability


The introduction of complex permeability allows separation into an ideal (zero loss) inductive component and a frequency dependent resistive component which represents the losses of the core material. This treatment can be applied to all core materials and clearly differentiates between inductors and EMC ferrites.

complex permeability expression [4]:

uS=ฮผSโ€ฒ+jฮผSโ€ฒโ€ฒu_{S} = \mu_{S}^{\prime} + j \mu_{S}^{\prime\prime}

Figure 8. Frequency dependence of permeability and impedance

The inductive component is represented by (ฮผI) and the resistive component by (ฮผII). The following applies to transformation on the impedance level:

impedance of ideal inductive component [5]:

Z=jฯ‰L0ฮผZ = j\omega L_{0} \mu


with L0 = inductance of an air coil of the same construction and field distribution, without core material (ฮผr = 1).

For the series impedance (Z):

complex impedance of inductive and resistive components [6]

Z=RS+jฯ‰LS=jฯ‰L0(ฮผSIโˆ’jฮผSII)Z = R_S +j\, \omega L_{S} = j \, \omega L_{0} (\mu_{S I} – j \mu_{S II})

Figure 9. Equivalent impedance circuit diagram

Multiplying out and dividing into real and imaginary parts provides the following relationship:

  • Loss component RS = ฯ‰L0ฮผSII
  • Inductance component XLS = ฯ‰L0ฮผSI

complex loss angle for inductive and resistive components [7]

tanฮด=RSXLS=uSIIฮผSItan \delta= \dfrac{R_{S}}{X_{LS}} = \dfrac{u_{S II}}{\mu_{S I}}

Figure 9. Loss angle (ฮด)

For the loss angle (ฮด), tan ฮด is given by:

A large angle (ฮด) means a high core loss; the phase relationship between voltage and current at the inductor is less than 90ยฐ.

Furthermore:
ฮผSI = ฮผi
ฮผSII = ฮผi ยท tan ฮด

(ฮผi = initial permeability)

Similarly, inductance and resistance can also be presented as a parallel equivalent circuit; the following relationships [8] apply. These frequency dependent components can be measured with the aid of impedance analysis and represented in an associated graph example on Figure 10.

parallel equivalent circuit equation [8]

Rp=RSโ‹…(1+1tan2โกฮด)R_{p} = R_{S} \cdot \left( 1 + \dfrac{1}{\tan^{2}\delta} \right)

XLp=XLSโ‹…(1+tan2โกฮด)X_{L p} = X_{L S} \cdot \left( 1 + \tan^{2}\delta \right)

Figure 10. Impedance curve example for SMD ferrite 742 792 034

Observations from the above measurement graph:

  • The inductance is stable in a certain frequency range, to show strong frequency dependence above approx. 10 MHz. Above 100 MHz the inductance falls sharply, down to zero at approx. 250 MHz.
  • The loss component (R) grows continuously with frequency and reaches the same value as the X component at the so-called ferromagnetic resonance frequency. The resistance value rises until the high MHz range and dominates over the impedance (Z).

The component shown here โ€“ a SMD ferrite โ€“ serves the user as a broadband absorber or filter component, as a result of its broadband loss resistance (R).

Core Materials Comparison

Core materials are only used effectively in the construction of inductors within a limited frequency range, as a result of the frequency dependent loss components. Core losses rise sharply above a typical frequency limit. The core material may then be used then as a filter component. See Impedance vs frequency chart on Figure 11.

Figure 11. Impedance vs Frequency of different magnetic core materials

This relationship and also the limits of core materials are illustrated in the following graph on Figure 12. and 13.:

Figure 12. Inductive parts of impedance and their frequency dependence for various core materials
Figure 13. Resistive parts of impedance and their frequency dependence for various core materials

Observations:

  • Iron powder materials (Fe): May be used as pure inductance up to approx. 400 kHz; the R loss component dominates thereafter up to approx. 10 MHz (also beyond depending on the core material). The core is no longer effective in the frequency range above approx. 20 MHz.
  • Manganese-zinc cores are inductive up to frequencies around 20 MHz โ€“ 30 MHz, typically with losses rising above 10 MHz. The core material is no longer effective in the frequency range above โ€“approx. 80 MHz.
  • Nickel-zinc cores are inductive up to frequencies around 60 MHz, above this, the core material shows losses up to frequencies of 1 GHz and more.

This quantitative comparison illustrates why nickel-zinc ferrites have become predominant in the EMC field. The core material can perform an effective filter function in the frequency range of greatest interest.

For everyday work, many design engineers benefit from a compact mapping between application, frequency, and preferred core family. The table below can serve as a firstโ€‘pass selection guide before diving into detailed datasheets and loss curves.

Application exampleTypical frequency rangePreferred core familyDesign note
PFC or lineโ€‘frequency boost choke20 kHz โ€“ 150 kHzIron powder / Fe alloyHigh saturation, moderate ฮผ, good for large DC bias.โ€‹
Flyback / forward transformer50 kHz โ€“ 500 kHzMnZn ferriteBalance of ฮผ, losses, and cost for power transfer.โ€‹
LLC / resonant converter magnetics100 kHz โ€“ 1 MHzLowโ€‘loss MnZn / nanocryst.Low loss at elevated T, careful flux swing control.โ€‹
Output storage choke (SMPS)50 kHz โ€“ 1 MHzIron powder / MnZn ferriteChoose by bias level vs loss; check DC premagnetization effect.โ€‹
CAN/LVDS/USB commonโ€‘mode choke1 MHz โ€“ 100 MHzNiZn ferriteUse highโ€‘loss region for broadband EMI suppression.โ€‹
Single SMD ferrite bead on supply line10 MHz โ€“ 1 GHzNiZn ferriteSelect by impedance vs frequency curve at critical bands.โ€‹

This guide should be presented as a starting point only. Final material choice still depends on required inductance, allowable temperature rise, mechanical format, and vendorโ€‘specific material properties.

Conclusion

Magnetic core materials, their permeability, and their frequencyโ€‘dependent losses form the foundation for reliable inductor and transformer design. By understanding how the Bโ€‘H curve, core material family, and complex permeability translate into inductance and loss behavior, design engineers can make informed tradeโ€‘offs between size, efficiency, and thermal performance. Ironโ€‘based cores, MnZn ferrites, and NiZn ferrites each have a preferred operating window where their inductive and loss characteristics are most advantageous, while outside this window they are better suited as lossy EMI components.

In practice, core selection should start from the required frequency range, flux swing, and allowable temperature rise, then be refined using real loss measurements in the final circuit. With these fundamentals and the complementary articles in this knowledge base, engineers can approach magnetic design with greater confidence and predictability.

FAQ: Magnetic core materials, permeability and losses

What is the role of a magnetic core in an inductor?

A magnetic core concentrates the magnetic flux generated by the coil, which increases inductance compared to an air core and allows smaller components for the same inductance value.

Which magnetic core materials are most commonly used?

This article focuses on soft iron and iron powder cores, amorphous alloy cores, and ferrite cores based on MnZn and NiZn compositions, each with different saturation flux density, permeability and loss behavior.

How does permeability affect inductor performance?

Permeability describes how well a material conducts magnetic flux; higher relative permeability increases inductance but is strongly dependent on field strength, frequency, temperature and the specific core material.

What are the main types of core losses?

Core losses are mainly composed of hysteresis losses from the Bโ€‘H loop area and eddy current losses induced in the conductive core material; both rise with frequency and flux density.

How is the Steinmetz formula used for core loss estimation?

The Steinmetz formula expresses core loss per volume as a function of frequency and peak induction using materialโ€‘specific coefficients, but its accuracy is limited for nonโ€‘sinusoidal waveforms, DC bias and varying duty cycles.

When should iron powder, MnZn and NiZn ferrites be used?

Iron powder and Fe alloys are preferred for lowโ€‘ to midโ€‘frequency, highโ€‘bias inductors, MnZn ferrites for power transformers up to a few hundred kilohertz, and NiZn ferrites for highโ€‘frequency EMC components up to hundreds of megahertz.

How can I quickly choose a suitable core material?

A practical approach is to start from the operating frequency range, application type (energy storage vs EMI suppression), allowed temperature rise and required inductance, then select a matching core family and refine using datasheet loss curves and sample measurements.

How to select a magnetic core material for an inductor

  1. Define the inductor function and topology

    Decide whether the component is a power inductor, transformer or EMI ferrite, and note the converter topology, input and output voltages, and ripple current requirements.

  2. Determine operating frequency and relevant harmonics

    Set the fundamental switching frequency and identify significant harmonics or EMI bands, as core materials have limited frequency ranges where inductive behavior and losses are acceptable.

  3. Estimate inductance, current and flux swing

    From the required inductance and ripple or magnetizing current, estimate the peak and ripple flux density so that the operating point stays safely below core saturation over temperature and tolerances.

  4. Select a suitable core material family

    Use the frequency and application to choose between iron powder or Fe alloys for high DC bias at lower frequencies, MnZn ferrites for power magnetics up to a few hundred kilohertz, or NiZn ferrites for highโ€‘frequency EMI suppression.

  5. Check permeability and temperature limits

    Review typical relative permeability, Curie temperature and usable temperature range for the chosen material, ensuring that permeability and losses remain acceptable across the full operating temperature span.

  6. Estimate core losses using datasheets or Steinmetz data

    Use manufacturer loss curves or Steinmetz coefficients to approximate loss density at the target frequency and flux swing, keeping in mind that nonโ€‘sinusoidal waveforms and DC bias can introduce significant error.

  7. Validate with prototypes and thermal measurements

    Build a prototype with the selected core, then measure efficiency, core temperature rise and waveforms in the real circuit to confirm that losses and saturation margin meet design goals.

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