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
Datacite citation style
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.ResearchDataFormat
*.m, *.png, *.jpgAssociated peer-reviewed publication
Thin, Uniform, and Highly Packed Multifunctional Structural Carbon Fiber Composite Battery Lamina Informed by Solid Polymer Electrolyte Cure KineticsReferences
Organizations
Korea Advanced Institute of Science & Technology (KAIST)DATA
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ce5bc09b77b86f502176e007da19a94eREADME.md - 1,297 bytesMD5:
4e525fff1b766b1658bd5e9d0f596a8dCITATION.txt - 3,951 bytesMD5:
e0a45b3104aaad0947bad4c9cfa23f0dcomposite_image_processing.m - 1,072 bytesMD5:
c97d847d73a9892e14d84aed2d31aefcLICENSE.txt - 1,153,929 bytesMD5:
5044c98f8db0deb3068e7daf215c7bb2Output1.png - 25,869 bytesMD5:
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eb0dd0a6808cad1f3e8a2cac96a93dbaSample_11.jpg - 1,058,052 bytesMD5:
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