Prediction of mechanical and thermal properties in bronze-filled polyamide 66 composites using artificial neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Materials Chemistry,Polymers and Plastics,Condensed Matter Physics,General Chemistry
Link
https://link.springer.com/content/pdf/10.1007/s00289-021-03751-5.pdf
Reference51 articles.
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2. AL-Oqla FM (2021) Flexural characteristics and impact rupture stress investigations of sustainable green olive leaves bio-composite materials. J Polym Environ 29:892–899. https://doi.org/10.1007/s10924-020-01889-3
3. AL-Oqla FM, El-Shekeil YA (2019) Investigating and predicting the performance deteriorations and trends of polyurethane bio-composites for more realistic sustainable design possibilities. J Clean Prod 222:865–870. https://doi.org/10.1016/j.jclepro.2019.03.042
4. AL-Oqla FM, Hayajneh MT, Fares O (2019) Investigating the mechanical thermal and polymer interfacial characteristics of Jordanian lignocellulosic fibers to demonstrate their capabilities for sustainable green materials. J Clean Prod 241:118256. https://doi.org/10.1016/j.jclepro.2019.118256
5. AL-Oqla FM, Salit MS, Ishak MR, Aziz NA (2014) Combined multi-criteria evaluation stage technique as an agro waste evaluation indicator for polymeric composites: Date palm fibers as a case study. BioResources 9:4608–4621. https://doi.org/10.15376/biores.9.3.4608-4621
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