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API de Calculadora de Varillas de Refuerzo

Matemáticas de acero de refuerzo (varillas) como una API, calculadas local y determinísticamente. El endpoint de área calcula el área transversal de una barra de refuerzo, a = π/4·d², su masa por metro (a·7850/1e6, ρ del acero = 7850 kg/m³), el área total y la masa para un número de barras, y —dada un área de acero requerida— el número de barras necesarias y el área proporcionada. El endpoint de espaciamiento distribuye barras a lo largo de una sección: a partir del ancho, el recubrimiento, el diámetro de la barra y ya sea un espaciamiento centro a centro o un número de barras, devuelve el otro, n = piso((ancho − 2·recubrimiento − d)/espaciamiento) + 1, el área total de acero y el área por metro de ancho. El endpoint de relación calcula la relación de refuerzo ρ = As/(b·d) de una sección a partir del área de acero (o las barras) y el ancho de la sección y la profundidad efectiva, como fracción y porcentaje, el número único que determina si una viga está sub o sobrerreforzada. Todo se calcula local y determinísticamente, por lo que es instantáneo y privado. Ideal para herramientas de ingeniería estructural y de sitio, detallado de concreto reforzado, programas de doblado de barras y despiece de acero, y educación en ingeniería civil. Cálculo local puro — sin clave, sin servicio de terceros, instantáneo. En vivo, nada almacenado. 3 endpoints. Esto es geometría y cantidades de varillas; para proporciones de mezcla de concreto use una API de concreto.

#rebar #reinforcement #concrete
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api.oanor.com/rebar-api

Concrete Mix API

Concrete mix-design maths as an API, computed locally and deterministically. The mix endpoint breaks down a volume of concrete into its materials from a nominal mix ratio (cement:sand:aggregate, for example 1:2:4): it applies the 1.54 dry-volume allowance, then returns the cement in cubic metres, kilograms and 50 kg bags, the sand and aggregate volumes and masses, and the water from the water-cement ratio — the complete batch for the pour. The quantity endpoint computes the concrete volume of a slab, footing, or round or square column from its dimensions, adds a wastage allowance and gives the dry material volume. The watercement endpoint solves the water-cement ratio, the water or the cement from the other two — the single most important number for concrete strength and durability. Densities used are cement 1440, sand 1600 and aggregate 1450 kg/m³, with a 50 kg cement bag. Everything is computed locally and deterministically, so it is instant and private. Ideal for construction, estimating and site-engineering tools, material take-off and ordering, DIY and builder apps, and civil-engineering education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is nominal volume-batch concrete estimating; for retaining-wall earth pressure use an earth-pressure API.

#concrete #mix-design #construction
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api.oanor.com/concrete-api

Valve Flow Coefficient API

Control-valve flow-coefficient (Cv / Kv) maths as an API, computed locally and deterministically. The liquid endpoint sizes a control valve for liquid service using Q = Kv·√(ΔP/SG): give any two of the flow rate (m³/h), the pressure drop across the valve (bar) and the flow coefficient Kv, and it returns the third — the required Kv to size a valve, the flow a valve passes, or the pressure drop it develops — together with the equivalent Cv. The convert endpoint converts between the three flow coefficients in use around the world: the metric Kv, the US Cv = 1.156·Kv, and the SI Av = 2.4e-5·Cv. The opening endpoint computes how far a valve must open to pass an operating Kv against its rated Kvs, for both a linear trim (opening = Kv/Kvs) and an equal-percentage trim (opening = 1 + ln(Kv/Kvs)/ln(R) for a rangeability R), so you can keep the valve in its controllable 20–80 % travel band. Everything is computed locally and deterministically, so it is instant and private. Ideal for process, instrumentation and HVAC engineering tools, control-valve selection and commissioning, hydronic-balancing and plant-design apps, and engineering education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is control-valve sizing; for pump power and head use a pump API and for orifice-plate metering use an orifice API.

#control-valve #flow-coefficient #cv-kv
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api.oanor.com/valveflow-api

Wind Load API

API de cargas de viento estructurales, matemáticas como API, calculadas local y determinísticamente. El endpoint de presión calcula la presión de velocidad (dinámica) del viento, q = ½·ρ·v², a partir de la velocidad del viento y la densidad del aire — la presión que el viento ejerce cuando se detiene contra una superficie — y también resuelve la velocidad del viento a partir de una presión dada, reportando la velocidad en m/s, km/h y mph. El endpoint de fuerza calcula la fuerza del viento sobre una superficie, F = q·Cf·A, a partir de la presión de velocidad (o velocidad del viento), el área expuesta y un coeficiente de fuerza (≈1.3 para una pared de edificio, ≈1.2 para una placa plana), y — dada una altura — el momento de vuelco sobre la base. El endpoint de Beaufort convierte entre la velocidad del viento y la escala Beaufort usando v = 0.836·B^1.5, devolviendo el número Beaufort, la descripción estándar desde calma hasta fuerza de huracán y la presión correspondiente. Todo se calcula local y determinísticamente, por lo que es instantáneo y privado. Ideal para herramientas de ingeniería estructural y de fachadas, señalización, paneles solares, andamios y estructuras temporales, aplicaciones de navegación y meteorología, y educación en ingeniería. Cálculo local puro — sin clave, sin servicio de terceros, instantáneo. En vivo, nada almacenado. 3 endpoints. Esto es presión y fuerza de viento estructural; para la producción de energía de turbinas eólicas use una API de energía eólica.

#wind-load #velocity-pressure #structural
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api.oanor.com/windload-api

Voltage Drop API

Cable voltage-drop and conductor-sizing maths as an API, computed locally and deterministically. The drop endpoint computes the voltage lost along a cable run from the current, the one-way run length, the conductor cross-section and the material: the conductor resistance R = ρ·L/A, the voltage drop Vd = k·I·R (k = 2 for single-phase, √3 for three-phase), the drop as a percentage of the supply and the voltage left at the load. The sizing endpoint works backwards: from an allowable percentage drop it returns the minimum conductor cross-section needed, A ≥ k·I·ρ·L/Vd_allow, rounds up to the next standard cable size (1.5, 2.5, 4, 6, 10, 16, 25 … mm²) and reports the actual drop at that size. The power endpoint computes the power dissipated as heat in the cable, P = N·I²·R (N = 2 or 3 current-carrying conductors), and the cable efficiency given a load power. Copper (ρ = 0.0172) and aluminium (ρ = 0.0282 Ω·mm²/m) are supported. Everything is computed locally and deterministically, so it is instant and private. Ideal for electrical-installation and panel-design tools, cable selection to wiring-regulation limits, solar, EV-charger and sub-main sizing, and electrical-engineering education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is cable voltage drop and sizing; for Ohm's law, reactance and resonance use an Ohm's-law API and for transformer ratios use a transformer API.

#voltage-drop #cable-sizing #electrical
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api.oanor.com/voltagedrop-api

Earth Pressure API

Lateral earth-pressure maths (Rankine theory) as an API, computed locally and deterministically for retaining-wall design. The active endpoint computes the active earth pressure that pushes a wall outward when the soil is allowed to yield: the coefficient Ka = (1−sinφ)/(1+sinφ) from the soil friction angle, the pressure at the base of the wall σ = Ka·γ·H, the total thrust per metre run ½·Ka·γ·H², plus the contributions of a surface surcharge and of soil cohesion (which reduces the pressure by 2c√Ka and forms a tension crack of depth 2c/(γ√Ka)). The passive endpoint computes the passive resistance Kp = (1+sinφ)/(1−sinφ) that the soil mobilises when a wall is pushed into it — the resisting pressure and thrust, with cohesion adding 2c√Kp. The atrest endpoint computes the at-rest pressure K0 = 1−sinφ (Jaky) for unyielding walls such as basements and braced excavations. Everything is computed locally and deterministically, so it is instant and private. Ideal for geotechnical and civil-engineering tools, retaining-wall, sheet-pile and basement-wall design, excavation-shoring and foundation apps, and engineering education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is Rankine lateral earth pressure; for slope geometry use a slope API and for open-channel weir flow use a weir API.

#earth-pressure #rankine #retaining-wall
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api.oanor.com/earthpressure-api

Reverberation Time API

Room-acoustics reverberation-time maths as an API, computed locally and deterministically. The sabine endpoint computes the reverberation time of a room — the RT60, the time for the sound to decay by 60 dB — from the Sabine formula RT60 = 0.161·V/A, where V is the room volume and A the total absorption in metric sabins; you can give the absorption directly, or as a surface area times an average absorption coefficient, and it also solves the absorption you would need to hit a target reverberation time. The eyring endpoint uses the Eyring-Norris formula RT60 = 0.161·V/(−S·ln(1−ᾱ)), which is more accurate than Sabine for absorbent rooms with a high average coefficient, and reports both for comparison. The absorption endpoint builds the absorption budget from a list of surfaces, each with its area and absorption coefficient, returning the total and average absorption and the resulting Sabine RT60, plus the extra absorption needed to reach a target. Everything is computed locally and deterministically, so it is instant and private. Ideal for acoustic-design, studio, classroom and home-theatre tools, room-treatment planning and building-acoustics apps, and audio-engineering education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is room reverberation time; for decibel conversion and combining sound levels use a sound-level API.

#reverberation #acoustics #rt60
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api.oanor.com/reverb-api

Weir Flow API

Weir flow maths for open-channel discharge measurement as an API, computed locally and deterministically. The rectangular endpoint computes the flow over a rectangular sharp-crested weir, Q = (2/3)·Cd·b·√(2g)·H^1.5, from the crest width and the head of water above the crest — and solves the head back from a known discharge. The vnotch endpoint computes the flow over a triangular V-notch weir, Q = (8/15)·Cd·√(2g)·tan(θ/2)·H^2.5, from the notch angle and head, the most accurate weir for small flows because the discharge varies with the head to the power 2.5. The broadcrested endpoint computes the flow over a broad-crested weir, Q = Cd·(2/3)^1.5·√g·b·H^1.5 ≈ Cd·1.705·b·H^1.5, the rugged field structure used for river gauging. Each device carries its standard discharge coefficient (rectangular 0.62, V-notch 0.58, broad-crested 0.85) which you can override, and each solves either the discharge from a measured head or the head required for a target discharge. Everything is computed locally and deterministically, so it is instant and private. Ideal for hydrology, irrigation and civil-engineering tools, flow gauging in channels and treatment plants, stormwater and water-resource apps, and fluid-mechanics education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is weir overflow discharge; for uniform open-channel flow use a Manning API and for differential-pressure pipe metering use an orifice API.

#weir #open-channel #discharge
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api.oanor.com/weir-api

Pulley System API

Pulley and block-and-tackle mechanics as an API, computed locally and deterministically. The advantage endpoint computes the mechanical advantage of a pulley system — the ideal MA equals the number of rope parts supporting the load, which is also the velocity ratio — and returns the effort needed to hold or raise a load, effort = load/(n·efficiency), the length of rope that must be pulled (n times the lift height) and the work in and out. The friction endpoint models a real block and tackle where every sheave loses a little tension: the mechanical advantage becomes MA = e·(1−eⁿ)/(1−e) for a per-sheave efficiency e (≈0.96 for a plain bearing, ≈0.98 for a ball bearing), so it returns the true MA, the overall efficiency and the extra effort friction costs you. The solve endpoint takes any two of the load, the effort and the number of rope parts and returns the third — for example, how many parts you need so a given person can raise a given load, or the heaviest load a winch can lift. Everything is computed locally and deterministically, so it is instant and private. Ideal for rigging, lifting and hoist-design tools, sailing, climbing and theatre-rigging apps, crane and winch sizing, and physics education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is pulley and block-and-tackle mechanics; for lever and moment balance use a lever API and for rope-around-a-drum capstan friction use a capstan API.

#pulley #block-and-tackle #mechanical-advantage
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api.oanor.com/pulley-api

Bolt Torque API

Bolted-joint torque, preload and stress maths as an API, computed locally and deterministically for ISO metric fasteners. The torque endpoint applies the torque-tension relation T = K·D·F — the tightening torque equals the nut factor times the nominal diameter times the bolt preload — and solves either way: the torque needed for a target preload, or the preload achieved by a given torque, with the nut factor K capturing the lubrication condition (≈0.20 plain, 0.16 plated, 0.12 lubricated). The stressarea endpoint computes the tensile stress area from the thread geometry, As = π/4·(d − 0.9382·P)² — the effective cross-section that carries the load — together with the nominal shank area and, given a proof or yield stress, the proof and yield loads of the bolt. The preload endpoint sets the clamp force as a percentage of the proof load (75 % is the usual target for reusable joints), F = (percent/100)·σproof·As, and returns the resulting tensile stress and, with a diameter and nut factor, the tightening torque. Grade proof stresses for 8.8, 10.9 and 12.9 bolts are documented. Everything is computed locally and deterministically, so it is instant and private. Ideal for mechanical-design, assembly and maintenance tools, torque-spec generation, fastener selection and structural-bolting apps, and engineering education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is bolt tightening and preload mechanics; for thread pitch/lead geometry use a thread API and for bolt-circle hole patterns use a bolt-circle API.

#bolt-torque #preload #fastener
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api.oanor.com/bolttorque-api

Orifice Flow Meter API

Differential-pressure flow-meter maths (ISO 5167) as an API, computed locally and deterministically for orifice plates, venturi tubes and flow nozzles. The flow endpoint computes the mass and volumetric flow rate from the measured pressure drop across the meter, qm = Cd·ε·E·A·√(2·ρ·ΔP), where E = 1/√(1−β⁴) is the velocity-of-approach factor, β = d/D the diameter ratio and A the bore area — and it reports the throat velocity and the permanent (unrecovered) pressure loss. The pressure endpoint works the other way: from a known flow it returns the differential pressure the meter will develop, ΔP = (qm/(Cd·ε·E·A))²/(2ρ), and the permanent loss. The sizing endpoint solves the meter geometry: from a target flow and an allowable pressure drop it iterates the required bore diameter and diameter ratio, and flags whether β falls in the ISO-recommended 0.2–0.75 range. Each device type carries its standard discharge coefficient (orifice 0.61, venturi 0.984, nozzle 0.96) which you can override. Everything is computed locally and deterministically, so it is instant and private. Ideal for process, HVAC and instrumentation engineering tools, flow-meter selection and commissioning, and fluid-mechanics education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is differential-pressure flow metering; for pipe continuity (Q=A·v) use a flow-rate API and for friction pressure drop use a Darcy-Weisbach API.

#orifice #flow-meter #venturi
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api.oanor.com/orifice-api

Slider-Crank Mechanism API

Slider-crank (piston-crank) mechanism kinematics as an API, computed locally and deterministically. The position endpoint takes the crank radius, the connecting-rod length and the crank angle from top dead centre and returns the exact piston displacement from TDC, x = r(1−cosθ) + l(1 − √(1−λ²sin²θ)) with λ = r/l, the piston-pin distance from the crank axis, the connecting-rod swing angle φ = asin(λ·sinθ), the stroke (2r), the rod ratio n = l/r and the fraction of stroke travelled. The velocity endpoint adds the crank speed (as rpm or angular velocity) and returns the exact piston velocity, v = ω·[r·sinθ + r·λ·sinθcosθ/√(1−λ²sin²θ)], and the piston acceleration from the standard two-term approximation a ≈ r·ω²·(cosθ + λ·cos2θ) — the inertia term engine designers use for balancing. The geometry endpoint summarises the whole mechanism: the stroke, the rod ratio, the top- and bottom-dead-centre positions, the maximum connecting-rod angle asin(λ), and — with a speed — the mean piston speed 2·stroke·(rev/s). Everything is computed locally and deterministically, so it is instant and private. Ideal for engine, compressor and pump-mechanism design tools, robotics and linkage simulation, CNC and animation, and mechanical-engineering education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is slider-crank linkage kinematics; for rotational energy use a flywheel API and for shaft torsion use a torsion API.

#slider-crank #mechanism #kinematics
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api.oanor.com/crankslider-api

API de Vida Útil de Rodamientos

Matemáticas de vida útil de rodamientos de elementos rodantes (ISO 281) como una API, calculada local y determinísticamente. El endpoint de vida calcula la vida nominal básica de un rodamiento de bolas o rodillos, L10 = (C/P)^p — donde p es 3 para rodamientos de bolas y 10/3 para rodamientos de rodillos — a partir de la capacidad de carga dinámica C y la carga equivalente P, reportando la vida en millones de revoluciones y, dada una velocidad en rpm, en horas y días; también funciona en reversa, resolviendo la capacidad de carga dinámica mínima necesaria para una vida objetivo, o la carga máxima que un rodamiento puede soportar para alcanzarla. El endpoint de carga calcula la carga dinámica equivalente P = X·Fr + Y·Fa a partir de las cargas radial y axial y los factores X e Y del rodamiento, el valor de carga único que necesita la fórmula de vida. El endpoint de confiabilidad aplica el factor de modificación de vida a1 de la ISO 281 para dar la vida nominal ajustada Lna = a1·L10 para cualquier probabilidad de supervivencia desde 90 % hasta 99.95 %, interpolado de la tabla de confiabilidad estándar. Todo se calcula local y determinísticamente, por lo que es instantáneo y privado. Ideal para herramientas de ingeniería mecánica, mantenimiento y confiabilidad, diseño de máquinas y trenes de potencia, aplicaciones de mantenimiento predictivo y costeo de vida útil, y educación en ingeniería. Cálculo local puro — sin clave, sin servicio de terceros, instantáneo. En vivo, nada almacenado. 3 endpoints. Esta es la vida nominal de rodamientos; para esfuerzo de torsión en ejes use una API de torsión y para energía rotacional use una API de volante de inercia.

#bearing #iso-281 #rating-life
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api.oanor.com/bearing-api

Pendulum Calculator API

Gravity-driven pendulum maths as an API, computed locally and deterministically. The simple endpoint computes the period of a simple pendulum, T = 2π·√(L/g), together with its frequency and angular frequency, and solves for the length needed to give a target period — with an optional large-amplitude correction (the first two terms of the amplitude series) for swings where the small-angle approximation no longer holds. The physical endpoint handles a compound (physical) pendulum — any rigid body swinging about a pivot — from its moment of inertia about the pivot, its mass and the distance from the pivot to its centre of mass, T = 2π·√(I/(m·g·d)), and reports the equivalent simple-pendulum length I/(m·d). The conical endpoint solves a conical pendulum, a bob sweeping a horizontal circle, T = 2π·√(L·cosθ/g), giving the radius of the circle, the speed of the bob, the angular velocity and — with a mass — the string tension m·g/cosθ and the centripetal force. Everything is an idealised system under constant gravity with no air resistance or string mass, computed locally and deterministically, so it is instant and private. Ideal for physics-education and engineering tools, clock and metronome design, swing and amusement-ride dynamics, and STEM teaching. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is gravity-pendulum dynamics; for spring-mass-damper vibration use a vibration API, for rotational kinetic energy use a flywheel API.

#pendulum #oscillation #period
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api.oanor.com/pendulum-api

Projectile Motion API

Ballistic projectile-motion maths as an API, computed locally and deterministically. The launch endpoint takes a launch speed and angle (and, optionally, a launch height above the landing plane and a custom gravity) and returns the full flight: the horizontal and initial vertical velocity components, the time of flight, the range, the maximum height, the time to the apex and the impact speed and angle — using R = v0²·sin(2θ)/g on flat ground and solving the full quadratic h0 + vy0·t − ½g·t² = 0 when launched from a height. The trajectory endpoint gives the exact state of the projectile — its x and y position, its horizontal and vertical velocity, its speed and its direction — at any given time t or at any given horizontal distance x. The range endpoint works backwards: from a target range it solves the two complementary launch angles that reach it for a given speed (the flat fast shot and the high lob), or the launch speed needed at a chosen angle, and reports the maximum achievable range. Everything is an idealised point mass under constant gravity with no air resistance, computed locally and deterministically, so it is instant and private. Ideal for physics-education and ballistics tools, game and simulation development, sports-trajectory and artillery-style calculators, and STEM teaching. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is ballistic projectile kinematics; for orbital mechanics use an orbital API, for universal gravitation use a gravitation API.

#projectile-motion #ballistics #kinematics
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api.oanor.com/projectile-api

Op-Amp Gain API

Operational-amplifier gain and bandwidth maths as an API, computed locally and deterministically. The gain endpoint computes the closed-loop gain of an inverting (Av = −Rf/Rin) or non-inverting (Av = 1 + Rf/Rin) amplifier from the feedback and input resistors, gives the gain in decibels (20·log₁₀|Av|) and the output voltage for an input, and solves the feedback resistor needed for a target gain. The summing endpoint computes the output of an inverting summing (adder) amplifier, Vout = −Rf·Σ(Vi/Ri), from any number of weighted inputs — the basis of analogue mixers and digital-to-analogue converters. The bandwidth endpoint applies the gain-bandwidth product, GBW = closed-loop gain × bandwidth, and solves any of the three (a 1 MHz op-amp at a gain of 10 has a 100 kHz bandwidth), and computes the full-power bandwidth from the slew rate and the peak output voltage, f = slew_rate/(2π·Vpeak). Everything is computed locally and deterministically, so it is instant and private. Ideal for analogue-electronics and circuit-design tools, amplifier, filter and sensor-conditioning design, audio and instrumentation apps, and electronics education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is op-amp amplifier design; for Ohm's law, reactance and resonance use an Ohm's-law API.

#op-amp #amplifier #gain
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api.oanor.com/opamp-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.

#rectifier #ripple #power-supply
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api.oanor.com/rectifier-api

API de Torque de Embreagem e Freio

Torque de embreagem de fricção e freio a disco como uma API, calculado local e deterministicamente. O endpoint de embreagem calcula o torque que uma embreagem de placa (disco) pode transmitir a partir do coeficiente de atrito, da força de aperto axial e dos raios interno e externo da face de atrito, por ambas as teorias padrão — desgaste uniforme, T = n·μ·F·(Ro+Ri)/2, e pressão uniforme, T = ⅔·n·μ·F·(Ro³−Ri³)/(Ro²−Ri²) — para qualquer número de superfícies de atrito (uma embreagem multi-disco multiplica o torque), além da potência máxima em uma dada velocidade. O endpoint cônico faz o mesmo para uma embreagem cônica, T = n·μ·F·Rm/sin α, onde o ângulo de cunha amplifica a força normal por 1/sin α. O endpoint de freio fornece o torque de frenagem de um freio a disco, T = n·μ·F·R_eff, a potência dissipada em uma velocidade e — dada uma inércia rotativa e sua velocidade — a desaceleração angular, o tempo e o número de revoluções para parar, e a energia cinética convertida em calor. Tudo é calculado local e deterministicamente, portanto é instantâneo e privado. Ideal para ferramentas de trem de força, automotivas e de projeto de máquinas, engenharia de embreagens, freios e guinchos, e educação em engenharia mecânica. Cálculo puramente local — sem chave, sem serviço de terceiros, instantâneo. Ao vivo, nada armazenado. 3 endpoints. Este é o torque de embreagem e freio de fricção rotativa; para tensão de torção de eixo, use uma API de torção e para fricção de cabo/correia em tambor, use uma API de capstan.

#clutch #brake #friction-torque
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api.oanor.com/clutch-api

API de Fricción de Cabrestante y Correa

Matemáticas de fricción de cabrestante y correa (la ecuación de Euler-Eytelwein) como una API, calculada local y determinísticamente. El endpoint de cabrestante aplica T1/T2 = e^(μ·β) — la relación entre la tensión del lado tenso y el lado flojo de una cuerda o correa enrollada alrededor de un tambor depende solo del coeficiente de fricción y el ángulo de envoltura, no del diámetro del tambor — y resuelve para cualquiera de las dos tensiones, la fricción o el ángulo de envoltura que omitas, con el ángulo de envoltura dado en grados, radianes o vueltas completas. El endpoint de sujeción muestra el efecto cabrestante: cómo una fuerza pequeña sostiene o mueve una carga grande, fuerza de sujeción = Carga·e^(−μβ) y fuerza de tracción = Carga·e^(+μβ) — unas pocas vueltas de cuerda alrededor de una bita permiten que una persona sostenga un barco. El endpoint de correa dimensiona una transmisión por correa: a partir de la tensión máxima del lado tenso, la fricción y el ángulo de envoltura, proporciona la tensión del lado flojo, la tensión efectiva (neta) T1 − T2 que impulsa la carga y, con la velocidad de la correa, la potencia máxima transmisible antes de que la correa deslice. Todo se calcula local y determinísticamente, por lo que es instantáneo y privado. Ideal para herramientas de ingeniería mecánica y marina, diseño de transmisiones por correa, cabrestantes, polipastos y frenos de banda, aplicaciones de escalada y aparejos, y educación en física. Cálculo local puro — sin clave, sin servicio de terceros, instantáneo. En vivo, nada almacenado. 3 endpoints. Esto es fricción de correa y cuerda; para longitud de correa, ángulo de envoltura y relación de velocidad, usa una API de transmisión por correa.

#capstan #belt-friction #euler-eytelwein
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api.oanor.com/capstan-api

Power Factor & AC Power API

AC power triangle and power-factor maths as an API, computed locally and deterministically. The power-factor endpoint solves the power triangle: from any two of the apparent power S (volt-amperes), the real power P (watts), the reactive power Q (VAR), the power factor (cos φ) or the phase angle it returns all of them, using S = √(P²+Q²), P = S·cosφ, Q = S·sinφ and PF = P/S. The load endpoint computes the powers of a load directly from its voltage, current and power factor — single-phase S = V·I or three-phase S = √3·V·I from line values. The correction endpoint sizes power-factor correction: the reactive power a capacitor must supply to raise the power factor from a present value to a target, Qc = P·(tanφ1 − tanφ2), and — given the supply voltage and frequency — the capacitance, C = Qc/(2π·f·V²), the basis of cutting reactive demand and utility penalties. Everything is computed locally and deterministically, so it is instant and private. Ideal for electrical-engineering and power-systems tools, motor, industrial and HVAC load analysis, energy-billing and power-quality apps. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is AC power and power-factor correction; for Ohm's law, reactance and resonance use an Ohm's-law API.

#power-factor #ac-power #electrical-engineering
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api.oanor.com/powerfactor-api

Shaft Torsion API

Shaft torsion as an API, computed locally and deterministically. The stress endpoint computes the maximum torsional shear stress in a circular shaft, τ = T·r/J — torque times the outer radius divided by the polar moment of inertia — for a solid shaft (J = π·d⁴/32) or a hollow tube (J = π·(D⁴−d⁴)/32), and solves the torque a shaft can carry for an allowable stress. The twist endpoint computes the angle of twist along the shaft, θ = T·L/(G·J), in radians and degrees, from the torque, length and the shear modulus (given directly or from a built-in material table — steel, aluminium, copper, titanium and more), plus the torsional stiffness G·J/L. The power endpoint relates the power a rotating shaft transmits to its torque and speed, P = T·ω = T·2πN/60, and solves any of the three, reporting power in watts, kilowatts and horsepower. Everything is computed locally and deterministically, so it is instant and private. Ideal for mechanical and drivetrain engineering tools, shaft, axle and coupling design, motor and gearbox apps, and machine-design education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is circular-shaft torsion; for axial stress-strain use a Young's-modulus API and for the 2D stress state use a Mohr-circle API.

#torsion #shaft #shear-stress
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api.oanor.com/torsion-api