journal article·2026-07-10

Optimized Dimensional Stability of Polypropylene Composites for Screw‐Extrusion Additive Manufacturing via Tuning Crystallinity and Melt Strength

Qihang Liao, Yunlong Ma, Xi Wu, Jiajian He, Weiping Dong, Zhonglue Hu, Bin Wang, Sisi Wang, Xiping Li

Polymer Composites· Volume 47· Issue 13
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Abstract

ABSTRACT The high crystallinity and fast crystallization of polypropylene (PP) severely restrict its additive manufacturing (AM) applications. To tackle this issue, this research created polypropylene/glass fiber composite for screw‐extrusion additive manufacturing (SEAM) by tuning PP's crystallization and rheological properties. To tune the crystallinity and melt strength of PP, low‐viscosity random copolymer PP (CL‐PP1) was adopted as matrix, blended with another high‐viscosity random copolymer PP (CL‐PP2) with low crystallinity (only 9.68%), with the incorporation of calcium carbonate masterbatch (Ca) and glass fiber (GF), which disrupted PP molecular chain regularity, synergistically reducing PP crystallinity from 24.79% to 9.47%, which drastically reduced print warpage ratio (WR, from 127.3% to 1.9%) and increased first layer adhesion (peel force: from 0 to 205 N/m). Rheological analyses showed CL‐PP2 enhanced the composites' complex viscosity and melt strength, enabling 60° overhang printing with negligible distortion at a CL‐PP1/CL‐PP2 blend ratio of 50/50. Mechanical property tests indicated the 50/50 composite retained a tensile strength of 16.2 MPa while exhibiting 312.4% elongation at break and 20.4 kJ/m 2 notched impact strength, attributed to great CL‐PP1/CL‐PP2 interfacial compatibility and plastic deformation of amorphous regions. This printability‐mechanical property balance provides a new method for large‐scale SEAM application of GF‐PP composites.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Additive Manufacturing and 3D Printing Technologies · Polymer Foaming and Composites · Polymer crystallization and properties

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Province Zhejiang Normal University Jinhua China

Sinopec‐Sk (Wuhan) Petrochemical Company, New Material R&D Center Wuhan China

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