Mixing Element Structure in Direct Fiber Feeding Injection Molding: Correlating Microstructure and Fiber Morphology With Length Retention and Mechanical Properties in <scp>GF</scp> / <scp>PP</scp> Composites

ABSTRACT This study systematically evaluated screw mixing elements for direct fiber feeding injection molding (DFFIM), addressing the critical yet unresolved trade‐off between fiber length retention and fiber dispersion in glass fiber/polypropylene (GF/PP) composites. A comparative analysis between DFFIM and the conventional “two‐step” method confirmed that DFFIM retained significantly longer fibers, with 30.79% of fibers exceeding 2 mm in length compared with 12.4% for the “two‐step” method, but exhibited poorer dispersion. To address this limitation, four screw mixing elements, standard screw element (SWE), cylindrical pin element (CPE), pineapple pin element (PPE), and SAXTON element (SNE), were designed and evaluated. PPE, characterized by a low shear and long residence time profile, achieved the best overall balance between fiber length retention and dispersion, resulting in the highest tensile and bending strengths (92.27 and 128.74 MPa, respectively). In contrast, the high‐shear CPE prioritized dispersion uniformity and produced the maximum impact strength (84.91 kJ/m 2 ). This study elucidates the fiber length–dispersion trade‐off governed by shear stress and residence time and provides clear selection guidelines based on target mechanical properties, with PPE recommended for strength‐critical applications and CPE for optimal impact resistance.

Authors

Institutions

Publication Details

Journal
Journal of Applied Polymer Science
Published
2026-01-22
DOI
https://doi.org/10.1002/app.70427
Primary Topic
Natural Fiber Reinforced Composites
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mixing Element Structure in Direct Fiber Feeding Injection Molding: Correlating Microstructure and Fiber Morphology With Length Retention and Mechanical Properties in GF / PP Composites

M Wu, Tianshuo Zheng, Zhiming Jin, Qiang Gong
Journal of Applied Polymer Science
Natural Fiber Reinforced Composites
article

Mixing Element Structure in Direct Fiber Feeding Injection Molding: Correlating Microstructure and Fiber Morphology With Length Retention and Mechanical Properties in GF / PP Composites

M Wu, Tianshuo Zheng, Zhiming Jin, Qiang Gong
article en

Abstract

ABSTRACT This study systematically evaluated screw mixing elements for direct fiber feeding injection molding (DFFIM), addressing the critical yet unresolved trade‐off between fiber length retention and fiber dispersion in glass fiber/polypropylene (GF/PP) composites. A comparative analysis between DFFIM and the conventional “two‐step” method confirmed that DFFIM retained significantly longer fibers, with 30.79% of fibers exceeding 2 mm in length compared with 12.4% for the “two‐step” method, but exhibited poorer dispersion. To address this limitation, four screw mixing elements, standard screw element (SWE), cylindrical pin element (CPE), pineapple pin element (PPE), and SAXTON element (SNE), were designed and evaluated. PPE, characterized by a low shear and long residence time profile, achieved the best overall balance between fiber length retention and dispersion, resulting in the highest tensile and bending strengths (92.27 and 128.74 MPa, respectively). In contrast, the high‐shear CPE prioritized dispersion uniformity and produced the maximum impact strength (84.91 kJ/m 2 ). This study elucidates the fiber length–dispersion trade‐off governed by shear stress and residence time and provides clear selection guidelines based on target mechanical properties, with PPE recommended for strength‐critical applications and CPE for optimal impact resistance.

Journal of Applied Polymer ScienceVol. 143(14)
Beijing University of Chemical Technology (CN)
Openalex Percentile: Top 81%
Natural Fiber Reinforced Composites
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.