material-selection

Solid

Systematic material selection using Ashby methodology and performance indices

AI & Automation 814 stars 53 forks Updated today MIT

Install

View on GitHub

Quality Score: 95/100

Stars 20%
97
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Material Selection Skill ## 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 1. **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 | 2. **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 | 3. **Combined Objectives** ``` For minimum cost at...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

Related Skills