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EngineerCore — Mechanical Engineering Calculator

Server Details

Ground your AI with deterministic mechanical engineering tools. Prevent hallucinations in dynamics, thermal fluids, and solid mechanics via strict validation.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL

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Available Tools

3 tools
analyze_state_spaceAnalyze State Space System
Read-onlyIdempotent
Inspect

Analyze an LTI system in state-space form. Evaluates stability, controllability, and observability. Automatically catches ragged matrices and dimension mismatches.

ParametersJSON Schema
NameRequiredDescriptionDefault
AYesSystem matrix A (n x n)
BYesInput matrix B (n x m)
CYesOutput matrix C (p x n)
DYesFeedforward matrix D (p x m)

Output Schema

ParametersJSON Schema
NameRequiredDescription
observabilityYes
controllabilityYes
system_dimensionsYes
stability_analysisYes
analyze_vibrationAnalyze Vibration
Read-onlyIdempotent
Inspect

Analyse a mass-spring-damper system. Returns natural frequency (rad/s and Hz), damping ratio, damped natural frequency, system classification, logarithmic decrement, and engineering flags. All inputs must be in strict SI units.

ParametersJSON Schema
NameRequiredDescriptionDefault
massYesMass of the system in kilograms
stiffnessYesSpring stiffness in Newtons per metre
damping_coefficientYesDamping coefficient in Newton-seconds per metre

Output Schema

ParametersJSON Schema
NameRequiredDescription
f_dYesDamped natural frequency in Hz (underdamped only)
f_nYesNatural frequency in Hertz
zetaYesDamping ratio (dimensionless)
omega_dYesDamped natural frequency in rad/s (underdamped only)
omega_nYesNatural frequency in radians per second
c_criticalYesCritical damping coefficient in N·s/m
log_decrementYesLogarithmic decrement (underdamped only)
classificationYesSystem damping classification
engineering_flagsYesAdvisory messages about the system characteristics
tune_pidTune PID
Read-onlyIdempotent
Inspect

Generate PID tuning parameters using Ziegler-Nichols and Cohen-Coon methods from a FOPDT process model. Returns Kp, Ki, Kd for the selected controller type and method, with reliability flags and method comparison. All inputs must be in strict SI units.

ParametersJSON Schema
NameRequiredDescriptionDefault
methodNoTuning method to applyboth
dead_timeYesProcess dead time theta in seconds
process_gainYesStatic process gain K from step test
time_constantYesFirst-order time constant tau in seconds
controller_typeNoType of controller to tunePID

Output Schema

ParametersJSON Schema
NameRequiredDescription
warningsYesReliability advisory messages for the computed parameters
cohen_coonYesTuning parameters computed via the Cohen-Coon method
ziegler_nicholsYesTuning parameters computed via the Ziegler-Nichols open-loop method
recommended_methodYesWhich tuning method is preferred for this process model
controllability_classYesTextual controllability assessment based on the dead-time ratio
controllability_ratioYesDead-time ratio r = θ/τ; values above 1.0 indicate a difficult process
method_agreement_ratioYesCohen-Coon / Ziegler-Nichols Kp ratio; values between 0.8–1.2 indicate good agreement

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