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puran-water

Corrosion Engineering MCP Server

by puran-water
README.md2.07 kB
# Corrosion Engineering Databases This directory contains JSON databases for corrosion engineering calculations. ## Files ### `materials_catalog.json` Material properties database including: - Composition (wt%) - Density - Cost factors (relative to carbon steel) - Galvanic potentials (V vs SCE) - PREN (Pitting Resistance Equivalent Number) - CPT (Critical Pitting Temperature) **Phase 3 Enhancement**: Integrate with matminer for expanded alloy database. ### `coatings_catalog.json` (To be created in Phase 2) Coating specifications including: - Permeability data (Zargarnezhad 2022-2023) - Thickness ranges - Temperature limits - Chemical compatibility ### `polarization_curves.json` (To be created in Phase 2) Polarization curve library for galvanic corrosion calculations: - Material-environment combinations - Potential vs current data - Sources (NRL, literature) ### `freecorp_parameters.json` (To be created in Phase 4) FREECORP model parameters: - CO2/H2S reaction kinetics - Activation energies - Protective scale formation parameters ## Data Sources - **Materials**: NACE, ASM Handbook, manufacturer data sheets - **Coatings**: Zargarnezhad et al. (2022-2023), coating manufacturer specs - **Polarization**: NRL corrosion-modeling-applications, literature - **FREECORP**: Ohio University ICMT publications ## Usage ```python import json # Load materials database with open('databases/materials_catalog.json') as f: materials = json.load(f) # Get 316L properties ss316l = materials['materials']['316L'] print(f"PREN: {ss316l['PREN']}") # 25 print(f"Cost factor: {ss316l['cost_factor']}") # 3.5x carbon steel ``` ## Maintenance - Update cost factors annually (inflation, market changes) - Add new materials as needed - Validate PREN/CPT values against latest standards - Expand coating database with new products ## Future Enhancements - [ ] matminer integration for automatic property calculation - [ ] pycalphad integration for phase diagrams - [ ] Link to online materials databases (MatWeb, NIST) - [ ] Uncertainty ranges for properties

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