Struct IronLossCharacteristic 

pub struct IronLossCharacteristic {
    pub frequency: Quantity<dyn Dimension<Kind = dyn Kind, M = Z0, L = Z0, Th = Z0, N = Z0, I = Z0, J = Z0, T = NInt<UInt<UTerm, B1>>>, dyn Units<f64, time = second, electric_current = ampere, luminous_intensity = candela, length = meter, mass = kilogram, thermodynamic_temperature = kelvin, amount_of_substance = mole>, f64>,
    pub characteristic: Vec<FluxDensityLossPair>,
}

A iron loss characteristic for a specific frequency.

This struct contains the iron loss characteristic (relationship between sinusoidal magnetic flux density amplitude and losses) for a single frequency. This characteristic is usually taken from the datasheet of the lamination manufacturer or measured by applying a sinusoidal magnetic field at a given frequency with different amplitudes to a sample. The losses within the sample are then measured and form a FluxDensityLossPair datapoint together with the corresponding amplitude.

One or more of these characteristics form an IronLossData dataset, which is essentially just a vector of IronLossCharacteristics. The dataset can then be used to derive the coefficients of the JordanModel.

Examples

use stem_material::prelude::*;

// These datapoints might come from a manufacturer sheet.

// All datapoints were measured at this frequency
let frequency = Frequency::new::<hertz>(50.0);

// List of the individual datapoints as flux density - loss pairs.
let mut datapoints = Vec::new();
datapoints.push(FluxDensityLossPair::new(
    MagneticFluxDensity::new::<tesla>(0.5),
    SpecificPower::new::<watt_per_kilogram>(2.0)
));
datapoints.push(FluxDensityLossPair::new(
    MagneticFluxDensity::new::<tesla>(0.6),
    SpecificPower::new::<watt_per_kilogram>(2.5)
));
datapoints.push(FluxDensityLossPair::new(
    MagneticFluxDensity::new::<tesla>(0.7),
    SpecificPower::new::<watt_per_kilogram>(3.2)
));
datapoints.push(FluxDensityLossPair::new(
    MagneticFluxDensity::new::<tesla>(0.8),
    SpecificPower::new::<watt_per_kilogram>(4.0)
));
let loss_charactistic = IronLossCharacteristic::new(frequency, datapoints);

Fields

frequency: Quantity<dyn Dimension<Kind = dyn Kind, M = Z0, L = Z0, Th = Z0, N = Z0, I = Z0, J = Z0, T = NInt<UInt<UTerm, B1>>>, dyn Units<f64, time = second, electric_current = ampere, luminous_intensity = candela, length = meter, mass = kilogram, thermodynamic_temperature = kelvin, amount_of_substance = mole>, f64>

Frequency at which the charactistic has been measured. Should be a positive value (a negative frequency makes no sense from a physics point of view and at zero frequency the losses are also zero).

characteristic: Vec<FluxDensityLossPair>

Collection of amplitude - losses datapoints. The order of these datapoints does not matter.

Implementations

impl IronLossCharacteristic

pub fn new( frequency: Quantity<dyn Dimension<Kind = dyn Kind, M = Z0, L = Z0, Th = Z0, N = Z0, I = Z0, J = Z0, T = NInt<UInt<UTerm, B1>>>, dyn Units<f64, time = second, electric_current = ampere, luminous_intensity = candela, length = meter, mass = kilogram, thermodynamic_temperature = kelvin, amount_of_substance = mole>, f64>, characteristic: Vec<FluxDensityLossPair>, ) -> IronLossCharacteristic

Creates a new IronLossCharacteristic from its fields.

pub fn from_vecs( frequency: Quantity<dyn Dimension<Kind = dyn Kind, M = Z0, L = Z0, Th = Z0, N = Z0, I = Z0, J = Z0, T = NInt<UInt<UTerm, B1>>>, dyn Units<f64, time = second, electric_current = ampere, luminous_intensity = candela, length = meter, mass = kilogram, thermodynamic_temperature = kelvin, amount_of_substance = mole>, f64>, flux_densities: &[Quantity<dyn Dimension<Kind = dyn Kind, M = PInt<UInt<UTerm, B1>>, L = Z0, Th = Z0, N = Z0, I = NInt<UInt<UTerm, B1>>, J = Z0, T = NInt<UInt<UInt<UTerm, B1>, B0>>>, dyn Units<f64, time = second, electric_current = ampere, luminous_intensity = candela, length = meter, mass = kilogram, thermodynamic_temperature = kelvin, amount_of_substance = mole>, f64>], specific_losses: &[Quantity<dyn Dimension<Kind = dyn Kind, M = Z0, L = PInt<UInt<UInt<UTerm, B1>, B0>>, Th = Z0, N = Z0, I = Z0, J = Z0, T = NInt<UInt<UInt<UTerm, B1>, B1>>>, dyn Units<f64, time = second, electric_current = ampere, luminous_intensity = candela, length = meter, mass = kilogram, thermodynamic_temperature = kelvin, amount_of_substance = mole>, f64>], ) -> IronLossCharacteristic

Creates a new IronLossCharacteristic from its frequency, a slice of flux densities and one of specific losses.

Each entry of the flux_densities vector is paired with the same-index entry of specific_losses to form a FluxDensityLossPair. If one slice is longer than the other, the surplus entries are discarded.

Trait Implementations

impl Clone for IronLossCharacteristic

fn clone(&self) -> IronLossCharacteristic

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for IronLossCharacteristic

fn fmt(&self, f: &mut Formatter<'_>) -> Result<(), Error>

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for IronLossCharacteristic

fn deserialize<__D>( __deserializer: __D, ) -> Result<IronLossCharacteristic, <__D as Deserializer<'de>>::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for IronLossCharacteristic

fn serialize<__S>( &self, __serializer: __S, ) -> Result<<__S as Serializer>::Ok, <__S as Serializer>::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.