A Python-based tool for analyzing electrochemical corrosion data from Gamry potentiostat measurements. This project was developed to assist in the analysis of corrosion behavior of Nickel-Titanium Shape Memory Alloy (NiTi SMA) coupled with steel rebar. (Publication coming soon)

This project was developed during a summer research project focused on understanding the corrosion behavior of NiTi SMA when coupled with steel rebar. The analysis involved various electrochemical techniques including:

• Linear Polarization Resistance (LPR)
• Potentiodynamic Polarization (Tafel)
• Electrochemical Impedance Spectroscopy (EIS)
• Galvanic Corrosion Testing

• Comprehensive Data Parsing

  • Support for multiple Gamry file formats
  • Automatic file type detection
  • Batch processing capabilities
  • Parallel processing for improved performance

• Advanced Analysis Tools

  • Tafel analysis with automatic range selection
  • EIS data processing and equivalent circuit fitting
  • Galvanic corrosion analysis
  • LPR calculations with Stern-Geary equation

• Data Management

  • Organized storage structure
  • Metadata preservation
  • Easy data retrieval
  • Export capabilities

• Visualization

  • Tafel plots
  • Nyquist and Bode plots
  • Galvanic current/voltage plots
  • Customizable plotting options

1. Clone the repository:

git clone https://github.com/TingXuan-Huang/gamry-corrosion-analyzer.git
cd corrosion-analyzer

2. Install required packages:

pip install -r requirements.txt

corrosion-analyzer/
├── utils/
│   ├── parser.py          # Gamry file parsing utilities
│   ├── equations.py       # Electrochemical analysis functions
│   └── data_storage.py    # Data management utilities
├── demo.py               # Example usage script
├── requirements.txt      # Project dependencies
└── README.md            # This file

1. Place your Gamry data files in the raw_data directory:

mkdir raw_data
# Copy your .dta files here

2. Run the demo script:

python demo.py

from utils.parser import parse_gamry_file, GamryFileType
from utils.equations import analyze_tafel

# Parse a Tafel file
data = parse_gamry_file("path/to/file.dta", GamryFileType.POTENTIODYNAMIC)

# Analyze the data
result = analyze_tafel(
    data=data,
    area=1.0,      # cm²
    density=7.8,   # g/cm³
    EW=27.92       # g/eq
)

from utils.parser import parse_gamry_folder_with_storage
from utils.data_storage import GamryDataStorage

# Initialize storage
storage = GamryDataStorage(base_dir="processed_data")

# Process all files in a folder
results = parse_gamry_folder_with_storage(
    folder_path="raw_data",
    file_type=GamryFileType.POTENTIODYNAMIC,
    storage=storage,
    recursive=True
)

• Automatic range selection for optimal fitting
• Multiple i_corr calculation methods
• Statistical validation
• Confidence interval calculation

• Solution resistance calculation
• Polarization resistance determination
• Capacitance estimation
• Nyquist and Bode plot generation

• Current density calculation
• Average values and standard deviations
• Total charge calculation
• Time-dependent analysis

Feel free to submit issues and enhancement requests!

This project is licensed under the MIT License - see the LICENSE file for details.

• Developed during a summer research project on NiTi SMA corrosion behavior
• Special thanks to the research team for their guidance and support
• Inspired by the need for efficient electrochemical data analysis tools

For questions or suggestions, please open an issue or contact the maintainer.