Study on Contact Structures and Joint Strength of Injection Molding Dual‐Polymer Parts Utilizing <scp>3D</scp> Printing Insert

ABSTRACT 3D printing offers flexibility in geometric design, but it is inferior to injection molding in terms of strength. In this study, the joint strength of 3D printing and injection molding parts is investigated. A series of distinct insert contact architectures were manufactured to offer design freedom with polylactic acid (PLA), acrylonitrile‐butadiene‐styrene (ABS), and thermoplastic polyurethane (TPU). Injection molding parts were manufactured as substrates using polymethyl methacrylate (PMMA). The melt flow process was simulated via finite element analysis (FEA), along with static simulations of uniaxial tension and three‐point flexural tests. Experimental validation through quasi‐static uniaxial tensile and flexural tests quantitatively assessed the tensile and flexural properties of the dissimilar material joints under varying contact geometries. The results indicate that PLA–PMMA (P–P) and TPU–PMMA (T–P) achieve optimal tensile performance with Structure 3, whereas ABS–PMMA (A–P) exhibits superior tensile properties under Structure 2. In terms of flexural performance, both P–P and A‐P attained optimum results with Structure 3. The FEA simulation accurately predicted the critical sections, and the results of tensile and flexural strength predictions were consistent with the experimental results, with an average error of 15.16%, indicating a reasonable error range.

Authors

Institutions

Publication Details

Journal
Polymer Engineering and Science
Published
2026-06-19
DOI
https://doi.org/10.1002/pen.70652
Primary Topic
Injection Molding Process and Properties
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Study on Contact Structures and Joint Strength of Injection Molding Dual‐Polymer Parts Utilizing 3D Printing Insert

Shaofei Jiang, Zhutong Li, Haowei Ma, Li J et al.
Polymer Engineering and Science
Injection Molding Process and Properties
article

Study on Contact Structures and Joint Strength of Injection Molding Dual‐Polymer Parts Utilizing 3D Printing Insert

Shaofei Jiang, Zhutong Li, Haowei Ma, Li J, Jiquan Li, Xiang Peng, Jun Xie
article en

Abstract

ABSTRACT 3D printing offers flexibility in geometric design, but it is inferior to injection molding in terms of strength. In this study, the joint strength of 3D printing and injection molding parts is investigated. A series of distinct insert contact architectures were manufactured to offer design freedom with polylactic acid (PLA), acrylonitrile‐butadiene‐styrene (ABS), and thermoplastic polyurethane (TPU). Injection molding parts were manufactured as substrates using polymethyl methacrylate (PMMA). The melt flow process was simulated via finite element analysis (FEA), along with static simulations of uniaxial tension and three‐point flexural tests. Experimental validation through quasi‐static uniaxial tensile and flexural tests quantitatively assessed the tensile and flexural properties of the dissimilar material joints under varying contact geometries. The results indicate that PLA–PMMA (P–P) and TPU–PMMA (T–P) achieve optimal tensile performance with Structure 3, whereas ABS–PMMA (A–P) exhibits superior tensile properties under Structure 2. In terms of flexural performance, both P–P and A‐P attained optimum results with Structure 3. The FEA simulation accurately predicted the critical sections, and the results of tensile and flexural strength predictions were consistent with the experimental results, with an average error of 15.16%, indicating a reasonable error range.

Polymer Engineering and Science
Zhejiang University of Science and Technology (CN), Zhejiang University of Technology (CN), Zhejiang University (CN), Taizhou University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Provincial Universities of Zhejiang
Openalex Percentile: Top 13%
Injection Molding Process and Properties
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.