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Magnetic Database

Core materials, Steinmetz parameters, winding windows, and thermal data — for automated magnetics sizing.

Magnetic Component Library

Access comprehensive data on core materials, winding configurations, and thermal characteristics to enable automated transformer and inductor design.

Core Materials

Ferrite, powder core, and nanocrystalline materials with B-H curves, Steinmetz parameters, and frequency-dependent loss models.

Winding Optimisation

Winding window analysis, copper loss calculations, and thermal derating for optimal power density and efficiency.

Thermal Data

Thermal resistance models and safe operating area limits for reliable magnetics design under mission profiles.

What the library holds

A magnetic component is three things at once — a shape, a material, and a winding. All three are stored together, because changing any one of them moves the loss, the temperature rise and the fit in the window.

Part shapes covered centre-leg gap ℓg E / ER / PQ / RM core bobbin winding · Ae, ℓe, Aw Toroid / distributed gap sendust, high-flux, MPP, nanocrystalline Planar / ELP core PCB winding stack · interleaved
One record = geometry + material + winding. The core contributes Ae, ℓe, Ve, window area and mean turn length; the material contributes B–H loops, saturation flux density and temperature-dependent loss; the winding contributes conductor type, turns, layers and interleaving. Automated magnetics sizing closes only when all three are present.
Winding conductors (cross-section) δ Solid round AWG / metric · low f skin-effect limited Litz bundle strand count × dia · transposed best AC resistance at high f hw Copper foil thickness × height · high fill sensitive to fringing at the gap PCB planar copper weight · stack-up · vias repeatable, manufacturable
Winding material matters as much as core material. The library records conductor type, cross-section, insulation, fill factor and temperature-dependent resistivity — enough to compute DC resistance, the AC resistance ratio FR under Dowell/interleaving, proximity loss and the extra loss a fringing field drives into conductors near the gap.
Core loss density 10 100 1000 1 10 100 1000 B̂ (mT) Pv (kW/m³) 100 kHz 200 kHz 500 kHz Pv = k fα B̂β ● measured points
Not just three Steinmetz coefficients. The measured loss surface (frequency × flux density × temperature) is stored alongside iGSE / improved-Steinmetz fits and their valid range — under non-sinusoidal excitation and DC bias, one set of k/α/β is quietly misleading.
Permeability under DC bias 0 50 100 150 200 0 25 50 75 100 Hdc (Oe) % of initial µ gapped ferrite high-flux 60 µ MPP 60 µ sendust 60 µ hard saturation
Inductance is a function of DC current. Powder cores roll off softly, gapped ferrite saturates hard. Without this curve, ripple current in a PFC or buck inductor is badly under-predicted at full load, so µ(Hdc, T) and the resulting L–I curve are stored per material and per core.

Figures are illustrative of the stored data format. Related reading: high-frequency transformer design.

Parameter coverage

Fields carried per core, per material and per conductor — enough to size a transformer or inductor, predict its loss split, and check it fits before anything is wound.

Core geometry

  • Shape & size code E, ER, ETD, PQ, RM, ELP, toroid
  • Ae, ℓe, Ve effective magnetic parameters
  • Window Aw, MLT winding area, mean length of turn
  • AL vs gap per gap length, incl. fringing
  • Mass & surface area for loss density and cooling
  • Rth / natural convection K/W vs air flow

Core materials

  • Ferrite MnZn power grades, NiZn
  • Powder cores sendust, high-flux, MPP, iron powder
  • Nanocrystalline & amorphous tape-wound cores
  • B–H loop, Bsat(T) measured, temperature resolved
  • Loss surface Pv(f, B̂, T) + Steinmetz / iGSE fits
  • µi, µ(Hdc), Curie point bias roll-off, thermal limits

Winding materials

  • Solid round wire AWG / metric, grade, build
  • Litz wire strand count × diameter, construction
  • Copper foil / strip thickness × height, edge treatment
  • PCB planar turns copper weight, stack-up, via array
  • ρ(T), skin depth δ(f) AC resistance ratio FR
  • Insulation & creepage triple-insulated, margin tape, class

Magnetics measurement

Accurate current sensing supports magnetics validation, loss extraction, and closed-loop testing. Our PCB Rogowski coil design reference covers a precision sensor for converter and inductor characterisation workflows.

Rogowski coil design reference Transistor database Contact us