Compressive and shear performance of three-dimensional rigid stochastic fibrous networks: Experiment, finite element simulation, and factor analysis

Shi, Liping; Long, Kecai; Zhong, Yi; Luo, Guoquan; Ma, Xiaoliang; Li, Mingwei; He, Xiaodong; Yu, Jia

doi:10.1016/j.jeurceramsoc.2019.09.016

Cited by 13 publications

(7 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fiber breakage and fiber bending were both identified as mesoscale deformation mechanisms in bonded inorganic fiber networks by Liu et al [ 9 ]. The significant effect of preferred fiber orientation on the mechanical behavior of SiO 2 ceramic fibers was demonstrated by Shi et al in compression testing, shear testing, and finite element modeling [ 10 ]. A reinvestigation of the computational models relating uniaxial compressive stress to density for non-crosslinked fiber networks was completed by Picu and Negi [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

Local strain quantification of a porous carbon fiber network material

Quammen,

Rottmann

2024

Heliyon

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Local strain quantification of a porous carbon fiber network material

Quammen,

Rottmann

2024

Heliyon

View full text Add to dashboard Cite

“…More generally, CFN (or similar fiber and yarn networks) have been studied both experimentally and numerically [8,9,10,11,12,13].…”

Section: Introductionmentioning

confidence: 99%

A multiscale cohesive law for carbon fiber networks

Schill

Abbott

Haskins

2021

Carbon

View full text Add to dashboard Cite

Better predictive models of mechanical failure in lowweight heat shield composites would aid material certification for missions with aggressive atmospheric entry conditions. Here, we develop such a model for the rapid engineering analysis of the failure limits of phenolic impregnated carbon ablator (PICA) -a leading heat shield material whose structural component is a carbon fiber network. We hypothesize inelastic deformation failure mechanisms and model their behavior using molecular dynamics simulations to calculate the binding energy. We then upscale this binding energy to the macroscale using a renormalization argument. The approach delivers insightful and reasonably accurate macroscale predictions that compare favorably to experiments. In application, the model is validated for a particular variety of PICA by comparison to experiment and would then be used to study design scenarios in different entry conditions.

show abstract

“…Although useful for rapid prototyping of a part, FDM is generally lack of enough elastic properties. Currently, embedding metallic particles or carbon fibers into thermoplastic matrix materials are becoming available for preparation of filament consumables [30][31][32]. For example, 3D printing with continuous fiber reinforced composites has emerged, by embedding continuous glass, Kevlar or carbon fiber along the surface geometry of components [33], and it might provide excellent mechanical properties and allow for tailoring the designs [34][35][36].…”

Section: Introductionmentioning

confidence: 99%

Design, fabrication and implementation of a high-performance compliant nanopositioner via 3D printing with continuous fiber-reinforced composite

Cui¹,

Shang²,

Jiang³

et al. 2021

J. Micromech. Microeng.

View full text Add to dashboard Cite

Nanopositioning systems have been widely applied in scientific and emerging industrial applications. With simplicity in design and operation, flexure bearings with spatial constraints and voice coil based nano-actuators are considered in designing compliant compact nanopositioning systems. To achieve nano-metric positioning quality, monolithic fabrication of the positioner is preferred, which calls for 3D printing fabrication. However, conventional plastic material-based 3D printing suffers from low mechanical performances, and it is challenging to monolithically fabricate 3D compliant mechanisms with high mechanical performances. Here, we study the fabrication of continuous carbon fiber reinforced composites by 3D printing of the double parallelogram flexure beam structures for spatial constrained nanopositioner with enhanced vertical stiffness. Also, with the consideration of the beam structure design, the process parameters for embedding the carbon fibers are optimized to enhance the beam strengths. Experimental results demonstrate a significant performance improvement with the composite based nanopositioner in both stiffness and natural frequency, and its positioning resolution of 30 nm is achieved. The result of this study will serve as the building block to apply advanced 3D printing of composite structure for precision engineering in the presence of more complex spatial structures.

show abstract

Compressive and shear performance of three-dimensional rigid stochastic fibrous networks: Experiment, finite element simulation, and factor analysis

Cited by 13 publications

References 49 publications

Local strain quantification of a porous carbon fiber network material

Local strain quantification of a porous carbon fiber network material

A multiscale cohesive law for carbon fiber networks

Design, fabrication and implementation of a high-performance compliant nanopositioner via 3D printing with continuous fiber-reinforced composite

Contact Info

Product

Resources

About