Smoothing-capacitor sizing
API · /rectifier-api
Rectifier Ripple API
Rectifier ripple and smoothing-capacitor maths as an API, computed locally and deterministically. The ripple endpoint computes the peak-to-peak ripple voltage left on a reservoir (smoothing) capacitor after a rectifier, Vr = I_load/(f_ripple·C), where the ripple frequency is the line frequency for a half-wave rectifier and twice it for a full-wave or bridge rectifier — and it solves for whichever of the load current, the capacitance or the ripple you leave out, also giving the RMS ripple. The capacitor endpoint sizes the smoothing capacitor for a target ripple, C = I_load/(f_ripple·Vr), and the energy it stores. The output endpoint gives the DC output of the rectifier from the transformer RMS voltage: the peak Vrms·√2, minus the diode drops in the conduction path (one for half-wave and centre-tapped, two for a bridge), the average DC voltage and, given the ripple, the ripple factor. Everything is computed locally and deterministically, so it is instant and private. Ideal for power-supply and electronics-design tools, linear PSU, charger and audio-amplifier design, and electronics education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is rectifier ripple and filtering; for Ohm's law, reactance and RC time constants use an Ohm's-law API.
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Correlato APIs
Altro APIs con tag sovrapposti.
Zener Regulator API
Zener-diode voltage-regulator electronics maths as an API, computed locally and deterministically. The series-resistor endpoint sizes the series (dropping) resistor for a shunt Zener regulator, Rs = (Vin − Vz)/(Iz + Il), from the input voltage, the Zener voltage, the load current and the desired Zener (knee) current, and gives the power the resistor and the Zener must dissipate — the core design step so the diode stays in regulation at maximum load. The regulator endpoint analyses an existing regulator: from the input voltage, the Zener voltage, the series resistor and the load (as a current or a resistance) it computes the total current, the Zener current Iz = (Vin − Vz)/Rs − Il, the load current, the output voltage and whether the regulator is still regulating (Iz > 0) or has dropped out under heavy load. The power endpoint computes the Zener power dissipation P = Vz·Iz and the maximum safe current Iz_max = Pz_max/Vz from the diode's power rating. Voltages are in volts, currents in amperes, resistances in ohms and power in watts. Everything is computed locally and deterministically, so it is instant and private. Ideal for electronics, power-supply, hobbyist and embedded app developers, regulator-design and reference-voltage tools, and electronics education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is the Zener shunt regulator; for BJT biasing use a transistor API and for an LED series resistor an LED-resistor API.
api.oanor.com/zener-api
Voltage Divider API
Resistive voltage-divider circuit design as an API, computed locally and deterministically. The divide endpoint takes an input voltage and two resistors and returns the output voltage Vout = Vin·R2/(R1+R2), the current I = Vin/(R1+R2) that flows through the chain, and the power dissipated in each resistor and in total — a 12 V source with R1 = 1 kΩ and R2 = 2 kΩ gives 8 V at 4 mA. The loaded endpoint adds a load resistor across R2, computes the parallel combination R2′ = R2·RL/(R2+RL) and the loaded output Vout = Vin·R2′/(R1+R2′), and reports the droop in volts and percent against the unloaded value, the classic mistake when a divider feeds a real load. The resistor endpoint sizes the missing resistor for a target output — R2 = R1·Vout/(Vin−Vout) or R1 = R2·(Vin−Vout)/Vout — so you can pick parts for a reference or sensor-bias point. All quantities are volts, ohms, amps and watts. Everything is computed locally and deterministically, so it is instant and private. Ideal for electronics, embedded, hardware, sensor-interfacing and EE-education app developers, reference-voltage and bias-network tools, and maker software. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is the resistive divider; for a single Ohm’s-law relationship use an Ohm’s-law API and for RC/RL filters an RC-filter API.
api.oanor.com/voltagedivider-api
RC Filter API
First-order RC and RL passive-filter design as an API, computed locally and deterministically. The lowpass and highpass endpoints take a resistor and capacitor (RC) or a resistor and inductor (RL) and return the −3 dB cutoff frequency (fc = 1/(2πRC) for RC, R/(2πL) for RL), the time constant (τ = RC or L/R) and the angular cutoff; pass a frequency as well and they add the magnitude response as a linear gain and in decibels and the phase shift in degrees — a 1 kΩ / 1 µF low-pass has fc ≈ 159.15 Hz, and right at the cutoff the gain is −3.01 dB with −45° phase for a low-pass or +45° for a high-pass. The component endpoint solves the missing one of fc, R and C from the other two (fc = 1/(2πRC)), so you can size a resistor or capacitor for a target cutoff. All quantities are SI: ohms, farads, henries and hertz. Everything is computed locally and deterministically, so it is instant and private. Ideal for electronics, audio, embedded, signal-processing and EE-education app developers, filter-design and circuit-sizing tools, and maker software. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is first-order single-pole filter design; for full RLC impedance and resonance use an impedance API and for stored capacitor energy a capacitor API.
api.oanor.com/rcfilter-api
Chebyshev Filter API
Chebyshev Type I filter-design maths as an API, computed locally and deterministically. The order endpoint computes the minimum filter order to meet a specification, n = ⌈acosh(√((10^(As/10)−1)/(10^(Ap/10)−1))) / acosh(fs/fp)⌉, from the passband edge frequency and its ripple and the stopband edge and its required attenuation — a Chebyshev filter usually needs a lower order than a Butterworth for the same specification, trading a flat passband for equiripple. The response endpoint computes the equiripple magnitude response, |H| = 1/√(1 + ε²·Tₙ²(f/fc)) with the ripple factor ε = √(10^(Ap/10) − 1) and the Chebyshev polynomial Tₙ, in linear and decibel form — in the passband the magnitude ripples between 0 and −Ap dB and reaches exactly −Ap dB at the cutoff, then rolls off faster than a Butterworth. The ripple endpoint converts between the passband ripple in decibels and the ripple factor ε, with the passband maximum and minimum. Frequencies are in hertz, ripple and attenuation in decibels and the order a positive integer. Everything is computed locally and deterministically, so it is instant and private. Ideal for DSP, audio, RF, communications and instrumentation app developers, filter-design and selectivity tools, and signal-processing education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is the Chebyshev Type I filter; for the maximally-flat Butterworth use a Butterworth API.
api.oanor.com/chebyshev-api
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curl https://api.oanor.com/rectifier-api/SOME_PATH \
-H "x-oanor-key: oanor_test_..."
const res = await fetch("https://api.oanor.com/rectifier-api/SOME_PATH", {
headers: { "x-oanor-key": "oanor_test_..." }
});
const data = await res.json();
$ch = curl_init("https://api.oanor.com/rectifier-api/SOME_PATH");
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_HTTPHEADER, ["x-oanor-key: oanor_test_..."]);
$response = curl_exec($ch);
import requests
r = requests.get(
"https://api.oanor.com/rectifier-api/SOME_PATH",
headers={"x-oanor-key": "oanor_test_..."},
)
print(r.json())
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