Adaptive multiscale modeling of fiber-reinforced composite materials subjected to transverse microcracking

2014 ◽  
Vol 113 ◽  
pp. 249-263 ◽  
Author(s):  
Fabrizio Greco ◽  
Lorenzo Leonetti ◽  
Paolo Nevone Blasi
Keyword(s):  
Composite Materials ◽  
Multiscale Modeling ◽  
Fiber Reinforced ◽  
Fiber Reinforced Composite ◽  
Reinforced Composite

Investigations into Moisture Diffusion of Fiber Reinforced Composite Materials.

2018 ◽  
Author(s):  
Karla Rosa Reyes ◽  
Karla Rosa Reyes ◽  
Adriana Pavia Sanders ◽  
Lee Taylor Massey ◽  
Corinne Hagan ◽  
...  
Keyword(s):  
Composite Materials ◽  
Moisture Diffusion ◽  
Fiber Reinforced ◽  
Fiber Reinforced Composite ◽  
Reinforced Composite

The effect of nanoparticle additive on surface milling in glass fiber reinforced composite structures

2021 ◽  
pp. 096739112110141
Author(s):  
Ferhat Ceritbinmez ◽  
Ahmet Yapici ◽  
Erdoğan Kanca
Keyword(s):  
Composite Materials ◽  
Glass Fiber ◽  
Composite Structures ◽  
Fiber Composite ◽  
Cutting Speed ◽  
Fiber Reinforced ◽  
Fiber Reinforced Composite ◽  
Reinforced Composite ◽  
Glass Fiber Reinforced ◽  
Composite Layers

In this study, the effect of adding nanosize additive to glass fiber reinforced composite plates on mechanical properties and surface milling was investigated. In the light of the investigations, with the addition of MWCNTs additive in the composite production, the strength of the material has been changed and the more durable composite materials have been obtained. Slots were opened with different cutting speed and feed rate parameters to the composite layers. Surface roughness of the composite layers and slot size were examined and also abrasions of cutting tools used in cutting process were determined. It was observed that the addition of nanoparticles to the laminated glass fiber composite materials played an effective role in the strength of the material and caused cutting tool wear.

On the Properties of Anisotropic Piezoelectric and Fiber Reinforced Composite Materials

2006 ◽  
Author(s):  
Mohamed Gaith ◽  
Cevdet Akgoz
Keyword(s):  
Composite Materials ◽  
Elastic Fiber ◽  
Physical Property ◽  
Ceramic Materials ◽  
Fiber Reinforced ◽  
Fiber Reinforced Composite ◽  
Reinforced Composite ◽  
Semiconductor Compounds ◽  
Degree Of Anisotropy ◽  
Tensor Basis

A new procedure based on constructing orthonormal tensor basis using the form-invariant expressions which can easily be extended to any tensor of rank n. A new decomposition, which is not in literature, of the stress tensor is presented. An innovational general form and more explicit physical property of the symmetric fourth rank elastic tensors is presented. The new method allows to measure the stiffness and piezoelectricity in the elastic fiber reinforced composite and piezoelectric ceramic materials, respecively, using a proposed norm concept on the crystal scale. This method will allow to investigate the effects of fiber orientaion, number of plies, material properties of matrix and fibers, and degree of anisotropy on the stiffness of the structure. The results are compared with those available in the literature for semiconductor compounds, piezoelectric ceramics and fiber reinforced composite materials.

Fiber Reinforced Composite Materials

1985 ◽  
Vol 38 (10) ◽  
pp. 1267-1270 ◽  
Author(s):  
R. M. Christensen
Keyword(s):  
Composite Materials ◽  
Nondestructive Evaluation ◽  
Life Prediction ◽  
Nonlinear Behavior ◽  
Interface Conditions ◽  
Fiber Reinforced ◽  
Fiber Reinforced Composite ◽  
Reinforced Composite ◽  
Damage States ◽  
Failure Life

Fiber-reinforced composite materials offer considerable performance advantages over conventional materials. New fiber developments place a premium upon understanding the mechanical interactions between phases in order to optimize the composition. Of particular importance are the means of quantifying damage states and predicting nonlinear behavior. Special attention is given to such areas as damage/failure/life prediction, environmental effects, nondestructive evaluation, interface conditions, and data base generation.

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