About this document
Interpretable ML for PVDF Fiber Properties by KABIR REDDY is a document available to read on EtoBox.
This study presents the development of the Electrospun Fiber Experimental Attributes Dataset (FEAD) to model the fiber diameter of electrospun polyvinylidene fluoride (PVDF) using machine learning techniques. The dataset compiles experimental data from literature and new experiments, identifying key parameters that influence fiber properties, such as polymer concentration and solvent characteristics. This approach aims to enhance the understanding of structure-property relationships in PVDF fibers, reducing
- Author
- KABIR REDDY
- Language
- EN