Material Selection Skill
SkillDev toolsSystematic material selection using Ashby methodology and performance indices
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Material Selection Skill skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/mechanical-engineering/skills/material-selection/SKILL.md and read by ahel’s review.
Purpose
The Material Selection skill provides systematic capabilities for selecting materials using Ashby methodology and performance indices, enabling optimal material choices based on functional requirements, manufacturing constraints, and cost considerations.
Capabilities
- Ashby chart generation and interpretation
- Performance index derivation for design requirements
- Material property database access (MatWeb, CES)
- Environmental compatibility assessment
- Manufacturing process compatibility evaluation
- Cost and availability analysis
- Equivalent material identification
- Material specification documentation
Usage Guidelines
Ashby Methodology
Performance Indices
-
Stiffness-Limited Design
Loading Performance Index Maximize Tie (tension) E/rho Specific stiffness Beam (bending) E^(1/2)/rho Flexural efficiency Panel (bending) E^(1/3)/rho Panel efficiency Shaft (torsion) G^(1/2)/rho Torsional efficiency -
Strength-Limited Design
Loading Performance Index Maximize Tie (tension) sigma_y/rho Specific strength Beam (bending) sigma_y^(2/3)/rho Flexural strength Panel (bending) sigma_y^(1/2)/rho Panel strength Shaft (torsion) tau_y^(2/3)/rho Torsional strength -
Combined Objectives
For minimum cost at required stiffness: M = E / (rho * C_m) Where: E = Young's modulus rho = density C_m = cost per unit mass
Material Selection Charts
-
Young's Modulus vs Density
- Identify materials above target index line
- Compare material families
- Identify lightweight alternatives
-
Strength vs Density
- Evaluate strength-to-weight ratio
- Compare metallic and composite options
- Identify high-performance materials
-
Thermal Conductivity vs Electrical Resistivity
- Heat dissipation requirements
- Electrical isolation needs
- Combined thermal-electrical requirements
Property Requirements
Mechanical Properties
| Property | Units | Considerations |
|---|---|---|
| Yield strength | MPa | Safety factors, fatigue |
| Ultimate strength | MPa | Failure modes |
| Young's modulus | GPa | Deflection limits |
| Fracture toughness | MPa.m^(1/2) | Damage tolerance |
| Fatigue strength | MPa | Cyclic loading |
| Hardness | HRC, HB | Wear resistance |
Physical Properties
| Property | Units | Considerations |
|---|---|---|
| Density | kg/m3 | Weight constraints |
| Thermal expansion | 10^-6/K | Dimensional stability |
| Thermal conductivity | W/m.K | Heat transfer |
| Electrical resistivity | ohm.m | Conductivity needs |
| Melting point | C | Operating temperature |
Manufacturing Compatibility
Process-Material Matrix
| Process | Metals | Polymers | Ceramics | Composites |
|---|---|---|---|---|
| Casting | Yes | Yes | Limited | No |
| Machining | Yes | Yes | Limited | Yes |
| Forging | Yes | No | No | No |
| Injection molding | No | Yes | No | Short fiber |
| Sheet forming | Yes | Limited | No | Limited |
| Additive | Yes | Yes | Limited | Yes |
Environmental Considerations
-
Corrosion Resistance
- Atmospheric exposure
- Chemical exposure
- Galvanic compatibility
- Stress corrosion cracking
-
Temperature Effects
- Property degradation
- Creep behavior
- Oxidation resistance
- Cryogenic performance
-
Sustainability
- Recyclability
- Embodied energy
- Toxicity
- Lifecycle assessment
Process Integration
- ME-014: Material Selection Methodology
Input Schema
{
"application": "string",
"loading_conditions": {
"type": "tension|bending|torsion|combined",
"magnitude": "number",
"cyclic": "boolean"
},
"constraints": {
"max_weight": "number (kg)",
"max_cost": "number ($/part)",
"max_temperature": "number (C)",
"corrosion_environment": "string"
},
"manufacturing_process": "machined|cast|molded|forged|additive",
"current_material": "string (if replacement study)",
"required_properties": {
"min_yield": "number (MPa)",
"min_stiffness": "number (GPa)",
"max_density": "number (kg/m3)"
}
}
Output Schema
{
"recommended_materials": [
{
"name": "string",
"specification": "string (e.g., ASTM, AMS)",
"performance_index": "number",
"properties": {
"yield_strength": "number (MPa)",
"modulus": "number (GPa)",
"density": "number (kg/m3)"
},
"cost_estimate": "number ($/kg)",
"availability": "string"
}
],
"selection_rationale": "string",
"trade_off_analysis": {
"primary_candidate": "string",
"alternates": "array",
"comparison_matrix": "object"
},
"manufacturing_notes": "string",
"specification_recommendation": "string"
}
Best Practices
- Define functional requirements before selecting material
- Consider full lifecycle costs, not just material cost
- Verify property data from reliable sources
- Account for processing effects on properties
- Evaluate galvanic compatibility in assemblies
- Document selection rationale for traceability
Integration Points
- Connects with Requirements Flowdown for design constraints
- Feeds into FEA Structural for analysis properties
- Supports DFM Review for manufacturing feasibility
- Integrates with Material Testing for validation
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
material-selection- Source
- github.com/a5c-ai/babysitter