scholarly journals Multi-material 3D printed mechanical metamaterials: Rational design of elastic properties through spatial distribution of hard and soft phases

2018 ◽  
Vol 113 (24) ◽  
pp. 241903 ◽  
Author(s):  
M. J. Mirzaali ◽  
A. Caracciolo ◽  
H. Pahlavani ◽  
S. Janbaz ◽  
L. Vergani ◽  
...  
2021 ◽  
Vol 118 (21) ◽  
pp. 211901
Author(s):  
Mohammad Naghavi Zadeh ◽  
Farbod Alijani ◽  
Xianfeng Chen ◽  
Iman Dayyani ◽  
Mehdi Yasaee ◽  
...  

2017 ◽  
Vol 111 (5) ◽  
pp. 051903 ◽  
Author(s):  
M. J. Mirzaali ◽  
R. Hedayati ◽  
P. Vena ◽  
L. Vergani ◽  
M. Strano ◽  
...  

2021 ◽  
Vol 25 ◽  
pp. 101168
Author(s):  
Mohammad Mirkhalaf ◽  
Xiao Wang ◽  
Ali Entezari ◽  
Colin R. Dunstan ◽  
Xinquan Jiang ◽  
...  

Author(s):  
Suresh Dande ◽  
◽  
Robert R. Stewart ◽  
Nikolay Dyaur ◽  
◽  
...  

Laboratory physical models play an important role in understanding rock properties and wave propagation, both theoretically and at the field scale. In some cases, 3D-printing technology can be adopted to construct complex rock models faster, more inexpensively, and with more specific features than previous model-building techniques. In this study, we use 3D-printed rock models to assist in understanding the effects of various fluids (air, water, engine oil, crude oil, and glycerol) on the models’ elastic properties. We first used a 3D-printed, 1-in. cube-shaped layered model. This model was created with a 6% primary porosity and a bulk density of 0.98 g/cc with VTI anisotropy. We next employed a similar cube but with horizontal inclusions embedded in the layered background, which contributed to its total 24% porosity (including primary porosity). For air to liquid saturation, P-velocities increased for all liquids in both models, with the highest increase being with glycerol (57%) and an approximately 45% increase for other fluids in the inclusion model. For the inclusion model (dry and saturated), we observed a greater difference between two orthogonally polarized S-wave velocities (Vs1 and Vs2) than between two P-wave velocities (VP0 and VP90). We attribute this to the S2-wave (polarized normal to both the layering and the plane of horizontal inclusions), which appears more sensitive to horizontal inclusions than the P-wave. For the inclusion model, Thomsen’s P-wave anisotropic parameter (ɛ) decreased from 26% for the air case to 4% for the water-saturated cube and to 1% for glycerol saturation. The small difference between the bulk modulus of the frame and the pore fluid significantly reduces the velocity anisotropy of the medium, making it almost isotropic. We compared our experimental results with theory and found that predictions using Schoenberg’s linear slip theory combined with Gassmann’s anisotropic equation were closer to actual measurements than Hudson’s isotropic calculations. This work provides insights into the usefulness of 3D-printed models to understand elastic rock properties and wave propagation under various fluid saturations.


2021 ◽  
Vol 309 ◽  
pp. 01214
Author(s):  
M.V.N Mohan ◽  
Ramesh Bhagat Atul ◽  
Vijay Kumar Dwivedi

Carbon/Carbon composites finds its applications in several high temperature applications in the field of Space, Aviation etc. Designing of components or sub systems with carbon/carbon composites is a challenging task. It requires prediction of elastic properties with a very high accuracy. The prediction can be normally done by analytical, numerical or experimental methods. At the design stage the designers resort to numerical predictions as the experimental methods are not feasible during design stage. Analytical methods are complex and difficult to implement. The designers use numerical methods for prediction of elastic properties using Finite Element Modeling (FEM). The spatial distribution of fibers in matrix has an effect on results of prediction of elastic constants. The generation of random spatial distribution of fibers in representative volume element (RVE) challenging. The present work is aimed at study of effect of spatial distribution of fiber in numerical prediction of elastic properties of unidirectional carbon/carbon composites. MATLAB algorithm is used to generate the spatial distribution of fibers in unidirectional carbon/carbon composites. The RVE elements with various random fiber distributions are modeled using numerical Finite element Model using ABAQUS with EasyPBC plugin. The predicted elastic properties have shown significant variation to uniformly distributed fibers.


Nanoscale ◽  
2021 ◽  
Author(s):  
Antonios Raptakis ◽  
Arezoo Dianat ◽  
Alexander Croy ◽  
Gianaurelio Cuniberti

This computational study establishes a correlation between the elastic properties of COFs and their building-blocks towards the rational design of new materials with tailored properties.


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