Code for composite SEM image processing, underlying the publication: Thin, Uniform, and Highly Packed Multifunctional Structural Carbon Fiber Composite Battery Lamina Informed by Solid Polymer Electrolyte Cure Kinetics

doi:10.4121/72c0a42d-b35f-45ed-bd80-7a6fcdce9c16.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/72c0a42d-b35f-45ed-bd80-7a6fcdce9c16
Datacite citation style:
Raja, Mohamad A.; Kim, Seong Su (2024): Code for composite SEM image processing, underlying the publication: Thin, Uniform, and Highly Packed Multifunctional Structural Carbon Fiber Composite Battery Lamina Informed by Solid Polymer Electrolyte Cure Kinetics. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/72c0a42d-b35f-45ed-bd80-7a6fcdce9c16.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

This repository contains MATLAB code for detecting and analyzing circular features (e.g., fibers) in composite images. The script demonstrates how to preprocess images, identify round objects, and calculate relevant metrics such as the Fiber Volume Fraction (FVF). This code was used in the paper titled: 'Thin, Uniform, and Highly Packed Multifunctional Structural Carbon Fiber Composite Battery Lamina Informed by Solid Polymer Electrolyte Cure Kinetics'. Its a simple code, that employs MATLAB's built in functions in the Image Processing Toolbox, to get the stochastic properties of composites. In my case, an SEM image of CFRP cross-section is used, and I will use it as a showcase for the code running framework. This code was developed during my Master's research at KAIST (Korea Advanced Institute of Science and Technology).

history
  • 2024-12-30 first online, published, posted
publisher
4TU.ResearchData
format
*.m, *.png, *.jpg
organizations
Korea Advanced Institute of Science & Technology (KAIST)

DATA

files (9)