DavidMercier/Scratc​hPlot

A Matlab toolbox to plot and to analyze (nano)scratch data.
30 Downloads
Updated 9 Aug 2021

ScratchPlot

This Matlab toolbox has been developed to plot and to analyze scratch resistance and mechanical deformation of material from (nano)scratch results.

To get started with the ScratchPlot toolbox, clone the repository, then run Matlab, and cd into the folder containing this README file.

You can start the launcher by typing "demo" at the Matlab command prompt.

Features

The ScratchPlot toolbox has been developed to plot and to analyze (nano)scratch dataset.

With this Matlab toolbox, it is possible:

  • to load .xls file with scratch results;
  • to plot 2D scratch profiles as a function of horizontal displacement;
  • to plot 2D scratch profiles as a function of applied normal load;
  • to plot pre- and post-profiles (or initial and residual topographies);
  • to plot cross profile;
  • to get statistical values (min, mean and max).

Matlab version

Developed with Matlab R2014a.

Author

Author: David Mercier [1]

[1] CRM Group, Avenue du Bois Saint-Jean 21, B27 – Quartier Polytech 4, 4000 Liège, Belgium

Reference papers

Keywords

Matlab toolbox; GUI;nanoscratch; scratch resistance; groove; pre-scratch; residual scratch; cross profile; critical load.

Acknowledgements

Screenshots

data_image/ScratchPlot_SG1300nmGlass.png

Scratch performed on a 1300nm thick sol gel coating on a glass substrate.

doc/_pictures/ScratchPlot_3Dprofiles.png

ScratchPlot GUI with a 3D plot of residual scratch profiles.

Cite As

David MERCIER (2024). DavidMercier/ScratchPlot (https://github.com/DavidMercier/ScratchPlot/releases/tag/1.1), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2014a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.1

See release notes for this release on GitHub: https://github.com/DavidMercier/ScratchPlot/releases/tag/1.1

1.0.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.