journal article·2022-08-24

Graphene-Coated PVDF/PAni Fiber Mats and Their Applications in Sensing and Nanogeneration

Md Ashiqur Rahman, Fariha Rubaiya, Nazmul Islam, Karen Lozano, Ali Ashraf

ACS Applied Materials & Interfaces· Volume 14· Issue 33
Publisher page

Abstract

Forcespinning is a powerful technique to produce fiber systems with suitable properties for a vast array of applications. This study investigates the sensing and energy generation performance of PVDF/PAni fiber mat systems made by the forcespinning method with and without graphene coating. The developed fiber mats were coated with graphene nanoflakes by drop-casting. The graphene-coated nanocomposites show an average output voltage of 75 mV (peak-to-peak), which is 300% higher compared to bare fiber mats, and an output current of 24 mA (peak-to-peak) by gentle finger pressing. Moreover, graphene-coated PVDF/PAni showed a volume conductivity of 1.2 × 10–7 S/cm and was investigated as a promising system for temperature (5 times better sensitivity than normal fiber mat), vibration (2 times better voltage generation), and airflow sensing. The graphene-coated composite has been further investigated as a water tide energy harvesting piezoelectric nanogenerator, with the system generating ∼40 mV for a synthetic ocean wave with a flow rate of 30 mL/min. In the future, graphene-coated nanofiber mats can be a solution for low-powered sensors and to harvest blue energy and vibration energy.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Innovative Energy Harvesting Technologies · Conducting polymers and applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Mechanical Engineering, University of Texas Rio Grande Valley, Edinburg, Texas78539, United States

School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia30332, United States

Department of Electrical and Computer Engineering, University of Texas Rio Grande Valley, Edinburg, Texas 78539, United States

Funding

National Science Foundation · Division of Materials Research

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