TriboSeries: A 263-year audit of triboelectric series and oil-paper charging-tendency data for transformer static-electrification assessment

Description

Database of seven qualitative triboelectric series (1759-1917) and quantitative triboelectric charge-density datasets (2019-2022) compiled for a cross-study audit of the triboelectric series and electrostatic charge tendency (ECT), plus the finite-element simulation script (scikit-fem) and the Kendall-tau bootstrap analysis script used in the manuscript.

Steps to reproduce

1. Unzip TriboSeries_zenodo_package.zip. 2. Run code/tau_bootstrap.py (Python 3, requires numpy/scipy/pandas) to reproduce the Kendall-tau bootstrap intervals reported in the manuscript (B = 10,000, fixed seed). 3. Run code/fem_oil_paper.py (requires scikit-fem) to reproduce the finite-element results: M_F = 0.570 and 2.191 at the two published cellulose charge densities, verified against the closed-form layered solution. 4. Database tables are in database/ (historical_series.csv, quantitative_teCD.csv, polymer_orderings.csv); the sigma-M_F scan data is in code/sigma_MF_scan.csv. 5. README.md in the package describes each file and the source DOIs of all transcribed series.

Institutions

• Changchun Institute of Technology

  Jilin, Changchun

Categories

Licence