Influence of void content and morphology on the creep behavior on glass/epoxy composites-Reference-Cited by-同舟云学术

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Influence of void content and morphology on the creep behavior on glass/epoxy composites

Published:2021-06 Issue: Volume:25 Page:100712
ISSN:2452-2139
Container-title:Composites Communications
language:en
Short-container-title:Composites Communications

Author:

Alves Fillip Cortat,Monticeli Francisco Maciel,Neves Roberta Motta,Voorwald Herman Jacobus Cornelis,Cioffi Maria Odila Hilário,Ornaghi Heitor Luiz

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Subject

Materials Chemistry,Polymers and Plastics,Mechanics of Materials,Ceramics and Composites

Reference31 articles.

1. Investigations on the fabrication and the characterization of glass/epoxy, carbon/epoxy and hybrid composites used in the reinforcement and the repair of aeronautic structures;Guermazi;Mater. Des.,2014

2. A review on the development and properties of continuous fiber/epoxy/aluminum hybrid composites for aircraft structures;Botelho;Mater. Res.,2006

3. Geometrical modelling of 3D woven reinforcements for polymer composites: prediction of fabric permeability and composite mechanical properties;Zeng;Compos Part A Appl Sci Manuf,2014

4. Characterization of textile permeability as a function of fiber volume content with a single unidirectional injection experiment;Di Fratta;Compos Part A Appl Sci Manuf,2015

5. On the 3D void formation of hybrid carbon/glass fiber composite laminates: a statistical approach;Monticeli;Compos Part A Appl Sci Manuf,2020

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1. Predicting the mechanical behavior of carbon fiber-reinforced polymer using machine learning methods: a systematic review;Machine Intelligence in Mechanical Engineering;2024

2. Adjunctive Damage Model to Describe the Interaction of Different Defect Types in Textile Composites on the Strain-Rate-Dependent Material Behaviour;Journal of Composites Science;2023-09-01

3. Use of artificial neural network to fit creep behavior of polyetherimide/carbon fiber composite under low-stress load;Polymer Bulletin;2023-08-07

4. Analysis of a Vacuum-Infused Carbon Fiber/Epoxy Composite Beam under 3-Point Bending;Advanced Materials Research;2023-04-28

5. Prediction of resisting force and tensile load reduction in GFRP composite materials using Artificial Neural Network-Enhanced Jaya Algorithm;Composite Structures;2023-01

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