Computer vision and machine learning for assessing dispersion quality in carbon nanotube / resin systems
Author:
Funder
Agency for Science, Technology and Research
Publisher
Elsevier BV
Subject
General Chemistry,General Materials Science
Reference37 articles.
1. Carbon Nanotube-Polymer Composites: Manufacture, Properties, and Applications;Grady,2011
2. A review on carbon nanotubes and graphene as fillers in reinforced polymer nanocomposites;Mittal;J. Ind. Eng. Chem.,2015
3. Using nanomaterials to enhance the additive manufacturing of polymeric resins;Crowley;Nano Futures,2022
4. A review on the mechanical properties of polymer composites reinforced by carbon nanotubes and graphene;Kumar;Carbon Letters,2021
5. Functionalized carbon nanostructures as lubricant additives – a review;Nyholm;Carbon,2023
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Implementing low budget machine vision to improve fiber alignment in wet fiber placement;Journal of Reinforced Plastics and Composites;2024-09-07
2. Machine Learning Approaches for the Micrographic Evaluation of Carbon Nanotube Cement Composites;2023
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