Bio-derived polymers are promising materials for the development of eco-friendly sensors. Composites, composed of bacterial cellulose sheets sandwiched between two layers of conducting polymers and infused with ionic liquids, exhibit generating properties when utilized as deformation sensors. The composite material underwent a frequency analysis to explore the relationship between the transduction property and the frequency of the applied mechanical deformation. A model identification was performed using the acquired experimental data. The linearity of the system was examined, and the findings show that a second-order system, adequately approximates the system’s dynamics.

Modeling of Bacterial Cellulose-Based Composite

Caponetto R.
Primo
Membro del Collaboration Group
;
Di Pasquale G.
Secondo
Membro del Collaboration Group
;
Graziani S.
Membro del Collaboration Group
;
Pollicino A.
Membro del Collaboration Group
;
Sapuppo F.
Membro del Collaboration Group
;
Trigona C.
Ultimo
Membro del Collaboration Group
2023-01-01

Abstract

Bio-derived polymers are promising materials for the development of eco-friendly sensors. Composites, composed of bacterial cellulose sheets sandwiched between two layers of conducting polymers and infused with ionic liquids, exhibit generating properties when utilized as deformation sensors. The composite material underwent a frequency analysis to explore the relationship between the transduction property and the frequency of the applied mechanical deformation. A model identification was performed using the acquired experimental data. The linearity of the system was examined, and the findings show that a second-order system, adequately approximates the system’s dynamics.
2023
bacterial cellulose
conducting polymers
frequency response
green deformations sensors
ionic liquids
modeling
File in questo prodotto:
File Dimensione Formato  
electronics-12-04530.pdf

accesso aperto

Descrizione: Modeling of Bacterial Cellulose-Based Composite
Tipologia: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 877.49 kB
Formato Adobe PDF
877.49 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/580289
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact