Cargando…

Response Surface Methodology Analysis of Energy Harvesting System over Pathway Tiles

This paper presents an experimental analysis of the optimization of PZT-based tiles for energy harvesting. The hardware (actual experiment), PZT-based tiles, were developed using 6 × 6 piezoelectric (PZT—lead zirconate titanate) sensors of 40 mm in diameter on a hard cardboard sheet (300 × 300 mm(2)...

Descripción completa

Detalles Bibliográficos
Autores principales: Gothwal, P., Kumar, A., Rathore, D., Mukherji, R., Vetriselvi, T., Anandan, S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919019/
https://www.ncbi.nlm.nih.gov/pubmed/36770152
http://dx.doi.org/10.3390/ma16031146
_version_ 1784886720298221568
author Gothwal, P.
Kumar, A.
Rathore, D.
Mukherji, R.
Vetriselvi, T.
Anandan, S.
author_facet Gothwal, P.
Kumar, A.
Rathore, D.
Mukherji, R.
Vetriselvi, T.
Anandan, S.
author_sort Gothwal, P.
collection PubMed
description This paper presents an experimental analysis of the optimization of PZT-based tiles for energy harvesting. The hardware (actual experiment), PZT-based tiles, were developed using 6 × 6 piezoelectric (PZT—lead zirconate titanate) sensors of 40 mm in diameter on a hard cardboard sheet (300 × 300 mm(2)). Our experimental analysis of the designed tiles obtained an optimized power of 3.626 mW (85 kg or 0.83 kN using 36 sensors) for one footstep and 0.9 mW for 30 footsteps at high tapping frequency. Theoretical analysis was conducted with software (Design-Expert) using the response surface methodology (RSM) for optimized PZT tiles, obtaining a power of 6784.155 mW at 150 kg or 1.47 kN weight using 34 sensors. This software helped to formulate the mathematical equation for the most suitable PZT tile model for power optimization. It used the quadratic model to provide adjusted and predicted R2 values of 0.9916 and 0.9650, respectively. The values were less than 0.2 apart, which indicates a high correlation between the actual and predicted values. The outcome of the various experiments can help with the selection of input factors for optimized power during pavement design.
format Online
Article
Text
id pubmed-9919019
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-99190192023-02-12 Response Surface Methodology Analysis of Energy Harvesting System over Pathway Tiles Gothwal, P. Kumar, A. Rathore, D. Mukherji, R. Vetriselvi, T. Anandan, S. Materials (Basel) Article This paper presents an experimental analysis of the optimization of PZT-based tiles for energy harvesting. The hardware (actual experiment), PZT-based tiles, were developed using 6 × 6 piezoelectric (PZT—lead zirconate titanate) sensors of 40 mm in diameter on a hard cardboard sheet (300 × 300 mm(2)). Our experimental analysis of the designed tiles obtained an optimized power of 3.626 mW (85 kg or 0.83 kN using 36 sensors) for one footstep and 0.9 mW for 30 footsteps at high tapping frequency. Theoretical analysis was conducted with software (Design-Expert) using the response surface methodology (RSM) for optimized PZT tiles, obtaining a power of 6784.155 mW at 150 kg or 1.47 kN weight using 34 sensors. This software helped to formulate the mathematical equation for the most suitable PZT tile model for power optimization. It used the quadratic model to provide adjusted and predicted R2 values of 0.9916 and 0.9650, respectively. The values were less than 0.2 apart, which indicates a high correlation between the actual and predicted values. The outcome of the various experiments can help with the selection of input factors for optimized power during pavement design. MDPI 2023-01-29 /pmc/articles/PMC9919019/ /pubmed/36770152 http://dx.doi.org/10.3390/ma16031146 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gothwal, P.
Kumar, A.
Rathore, D.
Mukherji, R.
Vetriselvi, T.
Anandan, S.
Response Surface Methodology Analysis of Energy Harvesting System over Pathway Tiles
title Response Surface Methodology Analysis of Energy Harvesting System over Pathway Tiles
title_full Response Surface Methodology Analysis of Energy Harvesting System over Pathway Tiles
title_fullStr Response Surface Methodology Analysis of Energy Harvesting System over Pathway Tiles
title_full_unstemmed Response Surface Methodology Analysis of Energy Harvesting System over Pathway Tiles
title_short Response Surface Methodology Analysis of Energy Harvesting System over Pathway Tiles
title_sort response surface methodology analysis of energy harvesting system over pathway tiles
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919019/
https://www.ncbi.nlm.nih.gov/pubmed/36770152
http://dx.doi.org/10.3390/ma16031146
work_keys_str_mv AT gothwalp responsesurfacemethodologyanalysisofenergyharvestingsystemoverpathwaytiles
AT kumara responsesurfacemethodologyanalysisofenergyharvestingsystemoverpathwaytiles
AT rathored responsesurfacemethodologyanalysisofenergyharvestingsystemoverpathwaytiles
AT mukherjir responsesurfacemethodologyanalysisofenergyharvestingsystemoverpathwaytiles
AT vetriselvit responsesurfacemethodologyanalysisofenergyharvestingsystemoverpathwaytiles
AT anandans responsesurfacemethodologyanalysisofenergyharvestingsystemoverpathwaytiles