Comparative analysis of machine learning techniques for predicting wear and friction properties of MWCNT reinforced PMMA nanocomposites-Reference-Cited by-同舟云学术

Comparative analysis of machine learning techniques for predicting wear and friction properties of MWCNT reinforced PMMA nanocomposites

Published:2024-09 Issue:9 Volume:15 Page:102895
ISSN:2090-4479
Container-title:Ain Shams Engineering Journal
language:en
Short-container-title:Ain Shams Engineering Journal

Author:

Jain Prince^ORCID,Joshi Unnati,Joshi Anand,Patel Vijay,Thakor Sanketsinh^ORCID

Publisher

Elsevier BV

Reference45 articles.

1. Polymer nanocomposites based on functionalized carbon nanotubes;Sahoo;Prog Polym Sci,2010

2. Review on the processing and properties of polymer nanocomposites and nanocoatings and their applications in the packaging, automotive and solar energy fields;Müller;Nanomaterials,2017

3. Hole quality evaluation for abrasive water jet drilling of GF/Al mesh reinforced epoxy hybrid composites;Seif;Polym Compos,2024

4. Ultrasonic-assisted synthesis of TiO2/MWCNT/Pani nanocomposite: Photocatalyst characterization and optimization of efficient variables in the degradation of benzene via RSM-CCD;Karamifar;Powder Technol,2024

5. High-performance nanocomposites based on polyetherketones;Díez-Pascual;Prog Mater Sci,2012

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