Agent skill

mechanism-design

Skill for mechanism kinematics, dynamics, and motion analysis

Stars 514
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/mechanical-engineering/skills/mechanism-design

Metadata

Additional technical details for this skill

phase
8
domain
science
category
mechanical-systems
priority
medium
specialization
mechanical-engineering
tools libraries
[
    "MSC ADAMS",
    "RecurDyn",
    "SolidWorks Motion",
    "MATLAB"
]

SKILL.md

Mechanism Design Skill

Purpose

The Mechanism Design skill provides capabilities for mechanism kinematics, dynamics, and motion analysis, enabling systematic design and optimization of mechanical motion systems.

Capabilities

  • Linkage synthesis and analysis
  • Cam profile design
  • Gear train design and analysis
  • Kinematic simulation
  • Dynamic force analysis
  • Motion optimization
  • ADAMS/RecurDyn integration
  • Mechanism specification documentation

Usage Guidelines

Kinematic Analysis

Degrees of Freedom

Gruebler's Equation (planar):
DOF = 3(n-1) - 2j1 - j2

Where:
n = number of links (including ground)
j1 = number of full joints (pin, slider)
j2 = number of half joints (cam, gear)

DOF = 1: Constrained mechanism
DOF = 0: Structure
DOF < 0: Over-constrained

Common Mechanisms

Mechanism Links Joints DOF Application
Four-bar 4 4 pins 1 Motion generation
Slider-crank 4 3 pins + 1 slider 1 Reciprocating motion
Scotch yoke 4 2 pins + 2 sliders 1 Exact sinusoidal
Quick return 4 3 pins + 1 slider 1 Unequal stroke times
Geneva 2 Cam joint Intermittent Indexing

Linkage Design

Four-Bar Linkage Types

Grashof criterion:
s + l <= p + q

Where:
s = shortest link
l = longest link
p, q = intermediate links

If satisfied: At least one link can rotate fully

Types:
- Crank-rocker: Shortest link is crank
- Double-crank: Shortest link is ground
- Double-rocker: No full rotation

Position Analysis

Loop closure equation:
r2*e^(i*theta2) + r3*e^(i*theta3) - r4*e^(i*theta4) - r1 = 0

Solve for theta3, theta4 given theta2 (input)

Velocity:
omega3 = omega2 * r2 * sin(theta4-theta2) / (r3 * sin(theta4-theta3))

Transmission Angle

mu = angle between coupler and output link

Ideal: mu = 90 degrees
Acceptable: 40 < mu < 140 degrees
Poor: mu < 30 or mu > 150 degrees

Cam Design

Cam Profile Types

Type Motion Application
Plate cam Translating or oscillating follower High speed
Cylindrical cam Oscillating follower Indexing
Face cam Translating follower Compact
Globoidal cam Oscillating follower High accuracy

Motion Profiles

Common profiles:

1. Parabolic (constant acceleration)
   s = (1/2) * a * t^2 for first half
   Good: Simple, smooth
   Bad: Infinite jerk at transition

2. Simple harmonic
   s = (h/2) * (1 - cos(pi*t/T))
   Good: Zero velocity at ends
   Bad: Finite acceleration at ends

3. Cycloidal
   s = h * (t/T - sin(2*pi*t/T)/(2*pi))
   Good: Zero acceleration at ends
   Bad: Higher peak acceleration

4. Modified trapezoid
   Combines constant acceleration with transitions
   Good: Low peak acceleration
   Bad: More complex

Pressure Angle

tan(alpha) = (dy/dtheta) / (rb + y)

Where:
alpha = pressure angle
dy/dtheta = slope of displacement curve
rb = base circle radius
y = follower displacement

Limit: alpha < 30 degrees (typically)

Gear Train Design

Gear Types

Type Application Efficiency
Spur Parallel shafts 98-99%
Helical Parallel shafts, quieter 97-99%
Bevel Intersecting shafts 97-98%
Worm High ratio, non-reversing 50-90%
Planetary Compact, high ratio 97-98%

Gear Ratios

Simple gear train:
i = N2/N1 = omega1/omega2

Compound gear train:
i_total = product of individual ratios

Planetary gear train:
i = 1 + Nring/Nsun (sun fixed)
i = 1/(1 + Nsun/Nring) (ring fixed)

Gear Geometry

Module: m = d/N
Pitch: p = pi * m
Addendum: a = m
Dedendum: b = 1.25 * m
Center distance: C = m * (N1 + N2) / 2

Contact ratio:
CR = (Arc of action) / (Circular pitch)
Minimum CR > 1.2 recommended

Dynamic Analysis

Force Analysis

Newton-Euler method:
Sum F = m * a_g (for each link)
Sum M_g = I_g * alpha (about mass center)

D'Alembert approach:
Add inertia forces: -m*a, -I*alpha
Solve as static equilibrium

Shaking Forces and Moments

Shaking force = -Sum(m_i * a_i)
Shaking moment = -Sum(I_i * alpha_i + r_i x m_i * a_i)

Balancing strategies:
1. Add counterweights
2. Optimize mass distribution
3. Use multiple cylinders (phase)

Process Integration

  • Cross-cutting for mechanical system design processes

Input Schema

json
{
  "mechanism_type": "linkage|cam|gear|custom",
  "motion_requirements": {
    "input_motion": "rotation|translation",
    "output_motion": "rotation|translation",
    "motion_profile": "string or array",
    "speed": "number (RPM or m/s)"
  },
  "constraints": {
    "space_envelope": "object",
    "force_requirements": "number",
    "accuracy": "number"
  },
  "operating_conditions": {
    "load": "number",
    "speed_range": "array [min, max]",
    "duty_cycle": "string"
  }
}

Output Schema

json
{
  "mechanism_design": {
    "type": "string",
    "configuration": "object",
    "link_dimensions": "array"
  },
  "kinematic_results": {
    "position_analysis": "array or function",
    "velocity_analysis": "array or function",
    "acceleration_analysis": "array or function",
    "transmission_angle": "number"
  },
  "dynamic_results": {
    "forces": "array",
    "torques": "array",
    "shaking_forces": "object"
  },
  "performance_metrics": {
    "pressure_angle": "number (cams)",
    "contact_ratio": "number (gears)",
    "efficiency": "number"
  },
  "design_documentation": "reference"
}

Best Practices

  1. Start with kinematic requirements
  2. Check Grashof criterion for linkages
  3. Limit pressure angles in cams
  4. Verify adequate contact ratio for gears
  5. Analyze dynamics at operating speed
  6. Consider balancing for high-speed mechanisms

Integration Points

  • Connects with CAD Modeling for geometry
  • Feeds into FEA Structural for stress analysis
  • Supports Test Planning for validation
  • Integrates with Vibration Analysis for dynamics

Expand your agent's capabilities with these related and highly-rated skills.

a5c-ai/babysitter

gsd-tools

Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).

514 31
Explore
a5c-ai/babysitter

model-profile-resolution

Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.

514 31
Explore
a5c-ai/babysitter

verification-suite

Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.

514 31
Explore
a5c-ai/babysitter

state-management

STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.

514 31
Explore
a5c-ai/babysitter

git-integration

Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.

514 31
Explore
a5c-ai/babysitter

frontmatter-parsing

YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.

514 31
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results