Failure Mechanisms of Short Fiber Reinforced Composite Materials Subjected to Dynamic Loading

ABSTRACT The mechanical behavior of short carbon fiber reinforced polylactic acid (SCF/PLA) composites fabricated by fused deposition modeling (FDM) is crucial for engineering applications, yet their strain‐rate dependence is not fully understood. This study aims to investigate the tensile response and fracture mechanisms of SCF/PLA under varying strain rates. Dog‐bone specimens were tested under quasi‐static (10 −4 s −1 ) and dynamic loading up to 50 s −1 , and fracture surfaces were analyzed via scanning electron microscopy (SEM). Results indicate clear strain‐rate sensitivity: Young's modulus increased from 2.1 to 2.4 GPa, and fracture strength in MPa followed a power‐law relationship with strain rate in s –1 ( σ = 38· ε̇ 0.065 ). SEM observations reveal a transition from flat fracture surfaces dominated by matrix cracking and fiber/matrix debonding at low rates to rougher surfaces with increased fiber pull‐out, fiber fracture, and matrix cracking at high rates. The number of exposed fibers increased whilst their pull‐out length decreased, suggesting enhanced interfacial shear strength. These findings demonstrate pronounced rate‐dependent mechanical and microstructural behavior, providing essential insights for designing FDM‐printed SCF/PLA components in dynamic applications.

Authors

Institutions

Publication Details

Journal
Polymer Composites
Published
2025-12-05
DOI
https://doi.org/10.1002/pc.70687
Citations
1
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
0.68

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Failure Mechanisms of Short Fiber Reinforced Composite Materials Subjected to Dynamic Loading

Zhongwei Guan, John P. Dear, W.J. Cantwell, Jin Zhou et al.
1 citations
Polymer Composites
Additive Manufacturing and 3D Printing Technologies
0.68
article

Failure Mechanisms of Short Fiber Reinforced Composite Materials Subjected to Dynamic Loading

Zhongwei Guan, John P. Dear, W.J. Cantwell, Jin Zhou, Yugang Duan, J.P. Dear, Hui Liu
article en
1 citations

Abstract

ABSTRACT The mechanical behavior of short carbon fiber reinforced polylactic acid (SCF/PLA) composites fabricated by fused deposition modeling (FDM) is crucial for engineering applications, yet their strain‐rate dependence is not fully understood. This study aims to investigate the tensile response and fracture mechanisms of SCF/PLA under varying strain rates. Dog‐bone specimens were tested under quasi‐static (10 −4 s −1 ) and dynamic loading up to 50 s −1 , and fracture surfaces were analyzed via scanning electron microscopy (SEM). Results indicate clear strain‐rate sensitivity: Young's modulus increased from 2.1 to 2.4 GPa, and fracture strength in MPa followed a power‐law relationship with strain rate in s –1 ( σ = 38· ε̇ 0.065 ). SEM observations reveal a transition from flat fracture surfaces dominated by matrix cracking and fiber/matrix debonding at low rates to rougher surfaces with increased fiber pull‐out, fiber fracture, and matrix cracking at high rates. The number of exposed fibers increased whilst their pull‐out length decreased, suggesting enhanced interfacial shear strength. These findings demonstrate pronounced rate‐dependent mechanical and microstructural behavior, providing essential insights for designing FDM‐printed SCF/PLA components in dynamic applications.

Polymer Composites
Khalifa University of Science and Technology (AE), Imperial College London (GB), Xi'an Jiaotong University (CN)
Strong
Openalex Percentile: Top 23%
Additive Manufacturing and 3D Printing Technologies
0.68
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.