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Singh, R., Grewal, A., Singh, A.P., Kumar, V., Bodaghi, M. 
ORCID: 0000-0002-0707-944X, Serjouei, A. ORCID: 0000-0002-7250-4131 and Wei, Y. ORCID: 0000-0001-6195-8595,
2022.
3D printed sensor for online condition monitoring of energy storage device.
Sādhanā, 47 (4): 212.
ISSN 0256-2499
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Abstract
In the past two decades’ significant studies have been reported on electrically conducting thermoplastic composites of acrylonitrile butadiene styrene (ABS), polyvinylidene fluoride (PVDF), etc. for the fabrication of novel energy storage devices (ESD) by 3D printing. But hitherto little has been reported on online condition monitoring of ESD prepared by secondary (2°) recycling of ABS. This study reports the investigations on mechanical and electrical properties of NH4Cl–ZnCl2 (electrolyte) reinforced ABS composite (as 3D printed sensor) for online condition monitoring of ESD. In a typical dry cell, the electrolyte is one of the integral parts, and the change in its dielectric properties with the time/ applied electric load has been used to ascertain the health of ESD (online) as the internet of things (IoT) based solution (Bluetooth application) in industry sports and medicine (ISM) band (2.4 GHz). Based on melt flow index (MFI), 10% NH4Cl and 10% ZnCl2 (by weight%) were reinforced in ABS for preparing 3D printed rectangular substrates as ring resonators for calculating dielectric constant (er) and loss tangent/dissipation factor (tand) for the resonant frequency. Trans- mission line parameters (S21) were observed using a vector network analyzer (VNA), and a high-frequency structure simulation (HFSS) software package. The results are supported by morphological analysis of ABS composite based on scanning electron microscopy (SEM), energy dispersion spectroscopy (EDS), 3D rendering, surface roughness (Ra), area mapping, current (I)–voltage (V), and Fourier transformed infrared (FTIR) characterization.
| Item Type: | Journal article | ||||||
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| Publication Title: | Sādhanā | ||||||
| Creators: | Singh, R., Grewal, A., Singh, A.P., Kumar, V., Bodaghi, M., Serjouei, A. and Wei, Y. | ||||||
| Publisher: | Springer Science and Business Media LLC | ||||||
| Date: | December 2022 | ||||||
| Volume: | 47 | ||||||
| Number: | 4 | ||||||
| ISSN: | 0256-2499 | ||||||
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| Rights: | This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s12046-022-01992-2 | ||||||
| Divisions: | Schools > School of Science and Technology | ||||||
| Record created by: | Laura Ward | ||||||
| Date Added: | 23 Nov 2022 09:26 | ||||||
| Last Modified: | 26 Oct 2023 03:00 | ||||||
| URI: | https://irep.ntu.ac.uk/id/eprint/47479 |
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