CNN-Optimized Electrospun TPE/PVDF Nanofiber Membranes for Enhanced Temperature and Pressure Sensing DOI Open Access
Ming Ma,

Ce Jin,

Shu fang Yao

et al.

Published: July 23, 2024

Temperature and pressure sensors currently encounter challenges such as slow response times, large sizes, insufficient sensitivity. To address these issues, we developed tetraphenylethylene (TPE)-doped polyvinylidene fluoride (PVDF) nanofiber membranes using electrospinning, with process parameters optimized through a convolutional neural network (CNN). We systematically analyzed the effects of PVDF concentration, spinning voltage, tip-to-collector distance, flow rate on fiber morphology diameter. The CNN model achieved high predictive accuracy, resulting in uniform smooth nanofibers under optimal conditions. Incorporating TPE enhanced hydrophobicity mechanical properties nanofibers. Additionally, fluorescent TPE-doped remained stable UV exposure exhibited significant linear responses to temperature variations. demonstrated sensitivity -0.976 gray value/°C an increase fluorescence intensity from 537 a.u. 649 600 g pressure. These findings highlight potential for advanced sensing applications.

Language: Английский

A Development and Comparison Study of PVDF Membranes Enriched by Metal–Organic Frameworks DOI Open Access
Tatiana Pisarenko, Nikola Papěž, Mohammed A. Al‐Anber

et al.

Polymers, Journal Year: 2025, Volume and Issue: 17(9), P. 1140 - 1140

Published: April 22, 2025

This study is concerned with the research and development of nanofibrous hybrid materials functioning as membranes composed polyvinylidene fluoride (PVDF) polymer enriched metal–organic frameworks (MOFs) dopants for adsorption detection gases, dyes, heavy metals in wastewater. Several types nanofiber composites are fabricated by electrostatic spinning. The prepared samples their chemical, optical, material properties analyzed. Subsequently, preliminary investigation dye removal conducted. Accordingly, design these structures may contribute to addressing critical environmental technological challenges.

Language: Английский

Citations

0
CNN-Optimized Electrospun TPE/PVDF Nanofiber Membranes for Enhanced Temperature and Pressure Sensing DOI Open Access
Ming Ma,

Ce Jin,

Shu fang Yao

et al.

Published: July 23, 2024

Temperature and pressure sensors currently encounter challenges such as slow response times, large sizes, insufficient sensitivity. To address these issues, we developed tetraphenylethylene (TPE)-doped polyvinylidene fluoride (PVDF) nanofiber membranes using electrospinning, with process parameters optimized through a convolutional neural network (CNN). We systematically analyzed the effects of PVDF concentration, spinning voltage, tip-to-collector distance, flow rate on fiber morphology diameter. The CNN model achieved high predictive accuracy, resulting in uniform smooth nanofibers under optimal conditions. Incorporating TPE enhanced hydrophobicity mechanical properties nanofibers. Additionally, fluorescent TPE-doped remained stable UV exposure exhibited significant linear responses to temperature variations. demonstrated sensitivity -0.976 gray value/°C an increase fluorescence intensity from 537 a.u. 649 600 g pressure. These findings highlight potential for advanced sensing applications.

Language: Английский

Citations

1