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Nanofiber TENG Sensor Used in Safety Detection of Rail Fasteners

Rail fasteners are critical parts of railroad tracks and must be inspected regularly to ensure the safe functioning of railway lines. A pre-proof paper from the journal Nano Energy presents a self-powered nanofiber vibration sensor (SNVS) with excellent output performance for regular safety monitoring of rail fasteners.

Nanofiber TENG Sensor Used in Safety Detection of Rail Fasteners​​​​​​​

​​​​​​​Study: Nano-fiber based Self-powered Flexible Vibration Sensor for Rail Fasteners Tightness Safety Detection. Image Credit: SB7/Shutterstock.com

Safety Detection of Rail Fasteners: Importance and Limitations

As a critical element of the railway line infrastructure, the maintenance and preservation of rail fasteners have become essential components of the routine safety check of railway lines. Currently, manual inspection and computer vision recognition are the most common techniques for determining the strength of rail fasteners.

However, manual inspection is inefficient, labor-intensive, and has a high percentage of missed detections. Similarly, computer vision recognition technology is expensive and suffers from low adaptability. These constraints significantly impede the general deployment of the current safety detection technologies.

Therefore, it is crucial to design a highly sensitive, easily fabricated, and adaptable vibration sensor for improving the real-time reliability and efficacy of the rail fasteners' safety monitoring.

Self-Powered Vibration Sensor: The Future of Safety Detection

A self-powered vibration sensor that obtains energy from rail line vibrations can efficiently solve the issue of cost-effective and dependable safety detection.

A triboelectric nanogenerator (TENG) is an innovative power conversion device that converts mechanical energy into electricity based on the connection of triboelectrification and electrostatic inductive processes. TENGs are suited for self-powered sensing applications because of their vast material choices, cheap cost, and excellent efficiency compared to conventional batteries.

However, the output performance of the triboelectric nanogenerator (TENG) based vibration sensor must be enhanced to obtain a greater power conversion effectiveness for next-generation self-sensing applications.

An Electrospun Nanofiber for Improving TENG-based Vibration Sensor

Previously, researchers have tried to improve the electricity production of the TENG-based vibration sensor by improving triboelectric substances, changing device construction, and expanding the functional contact area.

However, the majority of these proposed solutions are complicated and costly. Thus, it is still highly desirable to enhance the performance level of the TENG-based vibration sensor through practical and cost-effective means.

A variety of TENG-based self-powered vibration sensors have been developed in recent times for gathering railway vibration power. However, these vibration sensors still have issues that need to be resolved, such as their big size, tough interfaces, and inability to cover the railway surface uniformly, making it impossible for them to satisfy the requirements for tightness monitoring of railway fasteners.

Recent research has shown that an electrospun nanofiber is a cost-effective material for creating a high-performance vibration sensor. The thinness, adaptability, and permeability of an electrospun nanofiber can considerably increase the functional area and surface roughness of triboelectric substances.

Highlights of the Current Study

In this work, the researchers presented an adaptable, transportable, and economical self-powered nanofiber vibration sensor (SNVS) for detecting the safety and tightness of railway fasteners. A high-performance versatile nanofiber was created by electrospinning a strong dielectric substance barium titanate (BTO) with a comparatively negative triboelectric substance polyvinylidene fluoride (PVDF).

The X-ray diffraction (XRD) technique was used to determine the crystalline structure of the hybrid nanofiber and scanning electron microscopy (SEM) was used to examine the microstructure and topology of the as-prepared nanofiber. A programmed electrometer assessed the open-circuit voltage, short-circuit transference charge, and short-circuit current of the SNVS.

The researchers also created a tightness detection system based on the as-fabricated nanofiber vibration sensor by successfully absorbing railroad vibration energy and assessing the loosened vibration signals of railway fasteners.

Key Developments

The self-powered nanofiber vibration sensor (SNVS) generates electricity with an open-circuit potential of 185 V, a power density of 4.28 W-m-2, and a short-circuit current of 5.68 A-cm-2. It also features outstanding operating reliability, ecological adaptability, and a quick reaction time.

As a result, the self-powered nanofiber vibration sensor (SNVS) can efficiently collect railway vibration energy and properly determine the tightness of rail fasteners based on vibration qualities, ensuring railway line safety.

The production process of the vibration sensor is simple, cost-effective, and feasible, and it is envisaged that the self-powered nanofiber vibration sensor (SNVS) created in this work would offer a useful detection tool for preserving railway line safety.

Reference

Meng, Y. et al. (2022). Nanofiber based Self-powered Flexible Vibration Sensor for Rail Fasteners Tightness Safety Detection. Nano Energy. Available at: https://www.sciencedirect.com/science/article/pii/S2211285522007455?via%3Dihub

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Hussain Ahmed

Written by

Hussain Ahmed

Hussain graduated from Institute of Space Technology, Islamabad with Bachelors in Aerospace Engineering. During his studies, he worked on several research projects related to Aerospace Materials & Structures, Computational Fluid Dynamics, Nano-technology & Robotics. After graduating, he has been working as a freelance Aerospace Engineering consultant. He developed an interest in technical writing during sophomore year of his B.S degree and has wrote several research articles in different publications. During his free time, he enjoys writing poetry, watching movies and playing Football.

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