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Theoretical Prediction of CNT-CF/PP Composite Tensile Properties Using Various Numerical Modeling Methods
Department of Chemical and Environmental Engineering, Faculty of Engineering, University Putra Malaysia, Selangor, Malaysia.
Department of Chemical and Environmental Engineering, Faculty of Engineering, University Putra Malaysia, Selangor, Malaysia; Advanced Materials and Nanotechnology Lab , Institute of Advanced Technology, University Putra Malaysia, Selangor, Malaysia.
Department of Chemical and Environmental Engineering, Faculty of Engineering, University Putra Malaysia, Selangor, Malaysia; Advanced Materials and Nanotechnology Lab, Institute of Advanced Technology, University Putra Malaysia, Selangor, Malaysia.
2013 (English)In: Fullerenes, nanotubes, and carbon nanostructures (Print), ISSN 1536-383X, E-ISSN 1536-4046, Vol. 21, no 5, p. 411-416Article in journal (Refereed) Published
Abstract [en]

Development of effective models to predict tensile properties of ‘carbon nanotube coated carbon fibre reinforced polypropylene (CNT-CF/PP)’ composites is briefly discussed. The composite taken as the reference is based on the highest growth mechanism of CNTs over carbon fibres. Halpin-Tsai and Combined Voigt-Reuss model has been implemented. Young's modulus for CNT-CF/PP composites has been found 4.5368 GPa and the tensile strength has been estimated 45.367 MPa considering the optimum operating condition of chemical vapor deposition (CVD) technique. Stiffness of the composite is represented through the stress-strain plots; stiffness is proportional to the steepness of the slope. There are slight deviations of results that have been found theoretically over the experimental issues.

Place, publisher, year, edition, pages
Taylor & Francis, 2013. Vol. 21, no 5, p. 411-416
Keywords [en]
Carbon nanotube, Hierarchical composites, CNT-CF/PP, Tensile properties, Stiffness
National Category
Materials Chemistry
Identifiers
URN: urn:nbn:se:liu:diva-151329DOI: 10.1080/1536383X.2011.629755ISI: 000310314100005Scopus ID: 2-s2.0-84868127498OAI: oai:DiVA.org:liu-151329DiVA, id: diva2:1248866
Available from: 2018-09-17 Created: 2018-09-17 Last updated: 2018-09-27Bibliographically approved

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Aziz, Shazed
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