Fiber- and Particle-Reinforced Composite Materials with the Gurtin-murdoch and Steigmann-Ogden Surface Energy Endowed Interfaces

2021 ◽  
Author(s):  
Sonia Mogilevskaya ◽  
Anna Y Zemlyanova ◽  
Volodymyr Kushch
Keyword(s):  
Composite Materials ◽  
Material Science ◽  
Composite Structures ◽  
Relevant Literature ◽  
Drastic Reduction ◽  
Comprehensive Review ◽  
Current State ◽  
Reinforced Composite ◽  
Material Surfaces ◽  
Particle Reinforced Composite

Abstract Modern advances in material science and surface chemistry lead to creation of composite materials with enhanced mechanical, thermal, and other properties. It is now widely accepted that the enhancements are achieved due to drastic reduction in sizes of some phases of composite structures. This leads to increase in surface to volume ratios, which makes surface- or interface-related effects to be more significant. For better understanding of these phenomena, the investigators turned their attention to various theories of material surfaces. This paper is a review of two most prominent theories of that kind, the Gurtin-Murdoch and Steigmann-Ogden theories. Here, we provide comprehensive review of relevant literature, summarize the current state of knowledge, and present several new results.

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.

Effect of Different Cooling Rate on the Freezing Behavior of TiB2/A356 Composite

2014 ◽  
Vol 1053 ◽  
pp. 157-164
Author(s):  
Xiu Chuan Wu ◽  
Yu Tao Zhao ◽  
Song Li Zhang ◽  
Kang Le Tian
Keyword(s):  
Composite Materials ◽  
Cooling Rate ◽  
Eutectic Silicon ◽  
Tensile Fracture ◽  
Size Refinement ◽  
Reinforced Composite ◽  
Average Grain Size ◽  
Eutectic Si ◽  
Si Content ◽  
Particle Reinforced Composite

The microstructure and tensile properties of TiB2particles reinforced A356 composite materials at different cooling rates are investigated. Experimental results show that the composition of the alloy solidification ,eutectic silicon content , morphology and size have undergone significant changes while the cooling rate increased: On one hand, α-phase grains significantly reduced, by a 50 μm average grain size refinement to 1~5μm with the evolution from coarse dendritic to rosette dendritic, or even spherical evolution; On the other hand, eutectic Si content increases, and diameter, aspect ratio also showed a decreasing trend, while the circularity is gradually increasing. Meanwhile, with the increasing of cooling rate, the particle distribution of TiB2/A356 particle reinforced composite materials can be optimized. Particle aggregation is reduced, as a result TiB2particles’ reinforcement is more obvious, and the tensile fracture shows the obvious characteristics of ductile fracture.

Preliminary Design of Tubular Composite Structures Using Netting Theory and Composite Degradation Factors

1995 ◽  
Vol 117 (4) ◽  
pp. 390-394 ◽  
Author(s):  
B. W. Tew
Keyword(s):  
Corrosion Resistance ◽  
Composite Materials ◽  
Cyclic Loading ◽  
Composite Structures ◽  
High Strength ◽  
Preliminary Design ◽  
Light Weight ◽  
Fiber Reinforced Composite ◽  
Reinforced Composite ◽  
Design Calculations

Tubular products and process vessels built using fiber-reinforced composite materials provide significant advantages in applications that require corrosion resistance, high strength, and light weight. A design approach based on netting theory is presented which enables engineers to develop preliminary structural designs for these structures using composite materials. The integration of creep, cyclic loading, and environmental degradation factors into initial design calculations is also discussed and illustrated.

scholarly journals Friction Stir Processing of Particle Reinforced Composite Materials

Materials ◽  
2010 ◽  
Vol 3 (1) ◽  
pp. 329-350 ◽  
Author(s):  
Yong Gan ◽  
Daniel Solomon ◽  
Michael Reinbolt
Keyword(s):  
Composite Materials ◽  
Friction Stir Processing ◽  
Friction Stir ◽  
Reinforced Composite ◽  
Particle Reinforced Composite

scholarly journals A Review of Sensing Technologies for Non-Destructive Evaluation of Structural Composite Materials

2021 ◽  
Vol 5 (12) ◽  
pp. 319
Author(s):  
Ranjeetkumar Gupta ◽  
Daniel Mitchell ◽  
Jamie Blanche ◽  
Sam Harper ◽  
Wenshuo Tang ◽  
...  
Keyword(s):  
Composite Materials ◽  
Composite Structures ◽  
Image Correlation ◽  
Structural Composites ◽  
Comprehensive Review ◽  
Contact Type ◽  
Significant Challenge ◽  
Non Destructive Evaluation ◽  
The Future ◽  
Non Destructive

The growing demand and diversity in the application of industrial composites and the current inability of present non-destructive evaluation (NDE) methods to perform detailed inspection of these composites has motivated this comprehensive review of sensing technologies. NDE has the potential to be a versatile tool for maintaining composite structures deployed in hazardous and inaccessible areas, such as offshore wind farms and nuclear power plants. Therefore, the future composite solutions need to take into consideration the niche requirements of these high-value/critical applications. Composite materials are intrinsically complex due to their anisotropic and non-homogeneous characteristics. This presents a significant challenge for evaluation and the associated data analysis for NDEs. For example, the quality assurance, certification of composite structures, and early detection of the failure is complex due to the variability and tolerances involved in the composite manufacturing. Adapting existing NDE methods to detect and locate the defects at multiple length scales in the complex materials represents a significant challenge, resulting in a delayed and incorrect diagnosis of the structural health. This paper presents a comprehensive review of the NDE techniques, that includes a detailed discussion of their working principles, setup, advantages, limitations, and usage level for the structural composites. A comparison between these techniques is also presented, providing an insight into the future trends for composites’ prognostic and health management (PHM). Current research trends show the emergence of the non-contact-type NDE (including digital image correlation, infrared tomography, as well as disruptive frequency-modulated continuous wave techniques) for structural composites, and the reasons for their choice over the most popular contact-type (ultrasonic, acoustic, and piezoelectric testing) NDE methods is also discussed. The analysis of this new sensing modality for composites’ is presented within the context of the state-of-the-art and projected future requirements.

scholarly journals Simulation of Composite Materials by a Network FEM with Error Control

2015 ◽  
Vol 15 (1) ◽  
pp. 21-37 ◽  
Author(s):  
Martin Eigel ◽  
Daniel Peterseim
Keyword(s):  
Composite Materials ◽  
Error Control ◽  
Degrees Of Freedom ◽  
Lattice Structure ◽  
Computational Simulation ◽  
Posteriori Error ◽  
Error Estimator ◽  
Posteriori Error Estimator ◽  
Reinforced Composite ◽  
Particle Reinforced Composite

AbstractA novel finite element method (FEM) for the computational simulation in particle reinforced composite materials with many inclusions is presented. It is based on a specially designed mesh consisting of triangles and channel-like connections between inclusions which form a network structure. The total number of elements and, hence, the number of degrees of freedom are proportional to the number of inclusions. The error of the method is independent of the possibly tiny distances of neighboring inclusions. We present algorithmic details for the generation of the problem-adapted mesh and derive an efficient residual a posteriori error estimator which enables us to compute reliable upper and lower error bounds. Several numerical examples illustrate the performance of the method and the error estimator. In particular, it is demonstrated that the (common) assumption of a lattice structure of inclusions can easily lead to incorrect predictions about material properties.

Sign in / Sign up

Export Citation Format

Share Document