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Parameters optimization in compression molding of ultra-high molecular weight polyethylene/cellulose nanofiber bio-nanocomposites by using response surface methodology


Citation

Sharip, Nur Sharmila and Ariffin, Hidayah and Kamal Bahrin, Ezyana and Jawaid, Mohammad and Md Tahir, Paridah and Ibrahim, Nor Azowa (2020) Parameters optimization in compression molding of ultra-high molecular weight polyethylene/cellulose nanofiber bio-nanocomposites by using response surface methodology. Pertanika Journal of Science and Technology, 28 (s.2). pp. 299-316. ISSN 0128-7680; eISSN:2231-8526

Abstract

Conventional UHMWPE molding involves long pressure holding duration, nevertheless in the presence of filler such as cellulose nanofiber (CNF), this may contribute to filler degradation. This study optimized the compression molding parameters of UHMWPE/ CNF bio-nanocomposite by using response surface methodology (RSM) in consideration of temperature, pressure and duration as variables. An optimal processing condition of 180°C, 15 MPa, and 20 minutes contributed to more than 80% desirability with tensile strength, yield strength, elongation at break, and Young’s modulus values of 22.83 MPa, 23.14 MPa, 487.31%, and 0.391 GPa, accordingly. Mechanical properties of UHMWPE/CNF bio-nanocomposites molded at optimized processing conditions were comparably similar to those prepared at conventional processing condition, and with the advantage of having shorter processing time. The results presented herewith provides insight towards a more practical approach for UHMWPE/CNF bio-nanocomposites consolidation process.


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Official URL or Download Paper: https://doi.org/10.47836/pjst.28.s2.23

Additional Metadata

Item Type: Article
Divisions: Institute of Tropical Forestry and Forest Products
DOI Number: https://doi.org/10.47836/pjst.28.s2.23
Publisher: UPM Press
Keywords: Bio-nanocomposite; Cellulose nanofiber; Compression molding; Optimization; Response surface methodology; Ultra-high molecular weight polyethylene
Depositing User: Mohamad Jefri Mohamed Fauzi
Date Deposited: 09 Oct 2024 02:02
Last Modified: 09 Oct 2024 02:02
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.47836/pjst.28.s2.23
URI: http://psasir.upm.edu.my/id/eprint/87052
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