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Dataset on structure and mechanical properties of electrospun polyacrylonitrile nanofibrous mesh reinforced by halloysite nanotubes

Lookup NU author(s): Dr Kheng-Lim Goh, Dr Vladimir Zivkovic

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Abstract

The mechanical properties of electrospun polyacrylonitrile (PAN)-based membranes for ultrafiltration, such as oil-water separation and heavy metals from water, are often characterised in the dry state but little is known about the membrane properties in the hydrated state. This dataset comprised mechanical properties and structure-related properties of electrospun PAN-based membranes. The mechanical dataset described the yield strength and strain, stiffness, resilience energy, fracture strength, strain at fracture and fracture toughness of electrospun neat PAN and halloysite nanotube (HNT) reinforced PAN membranes in both hydrated and dry states. The data related to the hydrated state were derived from direct measurements of the mechanical properties of the PAN-based membrane using a novel environmental micromechanical tester. The structure-related dataset comprised electron micrographs and quantitative measurements (fibre diameter and pore diameter) derived from the micrographs. For further interpretation and discussion of the dataset, the reader is referred to the research article, “Direct measurement of the elasticity and fracture properties of electrospun polyacrylonitrile/halloysite fibrous mesh in water” [3].


Publication metadata

Author(s): Goh KL, Makaremi M, Pasbakhsh P, De Silva R, Zivkovic V

Publication type: Article

Publication status: Published

Journal: Data in Brief

Year: 2018

Volume: 21

Pages: 2170-2178

Print publication date: 01/12/2018

Online publication date: 14/11/2018

Acceptance date: 05/11/2018

Date deposited: 20/11/2018

ISSN (electronic): 2352-3409

Publisher: Elsevier BV

URL: https://doi.org/10.1016/j.dib.2018.11.039

DOI: 10.1016/j.dib.2018.11.039

Data Source Location: https://doi.org/10.6084/m9.figshare.6713147


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