Innovative approach using ultrasonic-assisted laser beam machining for the fabrication of ultrasensitive carbon nanotubes-based strain gauges

KarimzadGhavidel, A., Zadshakoyan, M., Kiani, G., Lawrence, J. and Moradi, M. (2023) Innovative approach using ultrasonic-assisted laser beam machining for the fabrication of ultrasensitive carbon nanotubes-based strain gauges. Optics and Lasers in Engineering. 161 0143-8166.

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Item Type:	Article
Abstract:	Here, we present for the first time a novel process based on the simultaneous implementation of ultrasonic vibrations (USVs) and laser beam machining (LBM) to fabricate ultrasensitive strain gauges fabricated from polymethyl methacrylate (PMMA)/carbon nanotubes (CNTs) nanocomposites. The results clearly showed that ultrasonic-assisted laser cutting reduces the surface electrical resistance up to 2.5 kΩ, while laser cutting alone is able to reduce the surface electrical resistance down to 3 kΩ towards the best conditions. Microscopic studies confirm that USVs reduce the wrapping of PMMA chains around CNTs and intensify the mechanism of electrons transfer through tunneling by improving the dispersion degree of CNTs on the surface. It was found that the prepared sample using USVs with an 80 W laser power and the beam motion velocity of 35 mm/s presented the best performance for detecting small strains. The sensing properties of the generated sample were characterized in the strain range of 0–1.2%. At 1.2% strain, the relative resistance changes were 27.04%, indicating the gauge factor is higher than 20 for the fabricated strain gauge, which is about 8 times higher than the best similar samples reported previously.
Uncontrolled Keywords:	Ultrasensitive strain gauge, Ultrasonic-assisted Laser beam machining, Ultrasonic vibrations, Carbon nanotubes
Creators:	KarimzadGhavidel, Ayub, Zadshakoyan, Mohammad, Kiani, Gholamreza, Lawrence, Jonathan and Moradi, Mahmoud
Date:	1 February 2023
Date Type:	Publication
Journal or Publication Title:	Optics and Lasers in Engineering
Volume:	161
Language:	English
DOI:	https://doi.org/10.1016/j.optlaseng.2022.107325
ISSN:	0143-8166
Status:	Published / Disseminated
Refereed:	Yes
Related URLs:	https://www.sciencedirect.com/science/ar... https://pure.northampton.ac.uk/en/public...
URI:	http://nectar.northampton.ac.uk/id/eprint/18195

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