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How to Run

1) Clone Repository

git clone https://github.com/NeerajK1998/coating-performance-decision-support.git
cd coating-performance-decision-support

2) Install Requirements

pip install -r requirements.txt

Required Datasets (Not Included)

Raw datasets are intentionally excluded to keep the repository lightweight.

ORNL Machining Force Dataset

Download from the official NIST portal:

https://data.nist.gov/od/id/mds2-3121

Thesis Experimental Dataset

Place your experimental Excel file here:

01_data/
  thesis_raw/
    Complete Analysis.xlsx

Full expected structure:

01_data/
  ornl_raw/
    Cutting data/
    FTF data/
    Impact data/
    Configurations/
  thesis_raw/
    Complete Analysis.xlsx

Execute Full Pipeline

python 02_src/compute_cri.py
python 02_src/compute_msi.py
python 02_src/compute_risk_matrix.py

Generated Outputs

07_outputs/
  coating_robustness_index.csv
  machining_severity_index.csv
  risk_matrix.csv
  plots/

Technical Scope

  • Severity-normalized comparative risk framework
  • Signal-processing–based machining severity modeling
  • Experimental coating robustness quantification
  • Not a finite element wear simulator
  • Not an absolute tool-life predictor
  • Designed for coating engineering decision-support

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Python-based coating robustness and machining severity decision-support framework

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