Mechanical Pressure Characterization of CNT-Graphene Composite Material.

carbon nanotubes composite graphene pressure pressure sample resistance

Journal

Micromachines
ISSN: 2072-666X
Titre abrégé: Micromachines (Basel)
Pays: Switzerland
ID NLM: 101640903

Informations de publication

Date de publication:
12 Nov 2020
Historique:
received: 29 10 2020
accepted: 10 11 2020
entrez: 17 11 2020
pubmed: 18 11 2020
medline: 18 11 2020
Statut: epublish

Résumé

Carbon nanotubes (CNTs) and graphene are extensively studied materials in the field of sensing technology and other electronic devices due to their better functional and structural properties. Additionally, more attention is given to utilize these materials as a filler to reinforce the properties of other materials. However, the role of weight percentage of CNTs in the piezoresistive properties of these materials has not been reported yet. In this work, CNT-graphene composite-based piezoresistive pressure samples in the form of pellets with different weight percentages of CNTs were fabricated and characterized. All the samples exhibit a decrease in the direct current (DC) resistance with the increase in external uniaxial applied pressure from 0 to 74.8 kNm

Identifiants

pubmed: 33198096
pii: mi11111000
doi: 10.3390/mi11111000
pmc: PMC7698087
pii:
doi:

Types de publication

Journal Article

Langues

eng

Références

Nat Commun. 2017 Mar 31;8:14950
pubmed: 28361867
Sci Rep. 2020 Jun 1;10(1):8895
pubmed: 32483263
Sci Rep. 2015 Feb 27;5:8603
pubmed: 25721159
ACS Sens. 2018 Jul 27;3(7):1276-1282
pubmed: 29943577
Proc Natl Acad Sci U S A. 2004 Sep 14;101(37):13408-10
pubmed: 15347810
ACS Appl Mater Interfaces. 2019 Feb 13;11(6):6195-6200
pubmed: 30666869
Science. 2008 Jun 6;320(5881):1308
pubmed: 18388259
Sci Rep. 2017 Feb 07;7:41896
pubmed: 28169306
Front Chem. 2019 Jun 11;7:399
pubmed: 31245352
Adv Mater. 2016 Jun;28(22):4306-37
pubmed: 26748581
Sensors (Basel). 2016 Jan 12;16(1):
pubmed: 26771616
Nano Lett. 2012 Mar 14;12(3):1603-8
pubmed: 22329428

Auteurs

Asar Ali (A)

Department of Electrical Engineering, Wah Engineering College, University of Wah, Rawalpindi 47040, Pakistan.

Farman Ali (F)

Department of Electrical Engineering, Qurtuba University of Science and IT, Dera Ismail Khan, Khyber Pakhtunkhwa 29050, Pakistan.

Muhammad Irfan (M)

Electrical Engineering Department, College of Engineering, Najran University Saudia Arabia, Najran 61441, Saudi Arabia.

Fazal Muhammad (F)

Electrical Engineering Department, University of Engineering Technology, Mardan 23200, Pakistan.

Adam Glowacz (A)

Department of Automatic, Control and Robotics, AGH University of Science and Technology, 30-059 Krakow, Poland.

Jose Alfonso Antonino-Daviu (JA)

Instituto Tecnologico de la Energía Camino de Vera s/n, Universitat Politecnica de Valencia, 46022 Valencia, Spain.

Wahyu Caesarendra (W)

Faculty of Integrated Technologies, Universiti Brunei Darussalam, Jalan Tungku Link, Gadong BE1410, Brunei.

Salman Qamar (S)

Department of Electrical Engineering, Qurtuba University of Science and IT, Dera Ismail Khan, Khyber Pakhtunkhwa 29050, Pakistan.

Classifications MeSH