Simulation of Micro-Void Development within Large Scale Additively Manufactured Polymer Composite Deposition Beads

Despite the growing level of technology advancement that characterizes extrusion-deposition additive manufacturing technology, there remains a significant knowledge gap in fully understanding the process-structure-property relationship involved in this technology. The ability to effectively and efficiently control the manufacturing process provides an opportunity for optimizing the complex microstructure of the polymer composite prints which can lead to significant improvement of the associated print properties and in-service part performance. Modeling the polymer melt flow extrusion-deposition process is important in understanding the development of the inherent microstructural formation. The current research presents a computational-based approach for investigating process-induced micro-voids and their impact on print properties. We develop a multiscale FEA simulation tool to predict the global and local flow-fields during the polymer-melt flow process to investigate underlying mechanisms that may promote the micro-void development within the bead microstructure and determine potential process related factors that can be controlled to mitigate micro-void formation and growth. The research also presents a computational based method for assessing the impact of micro-voids on the effective print properties. The direct implication of reduced part voidage levels is the development of high-quality functional components for specialized applications such as light weight & high strength integrity composites widely used in a variety of industries particularly the automobile, aerospace, renewable energy and defense industries.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-01-26
DOI
https://doi.org/10.5281/zenodo.14743342
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simulation of Micro-Void Development within Large Scale Additively Manufactured Polymer Composite Deposition Beads

Zenodo (CERN European Organization for Nuclear Research)
Additive Manufacturing and 3D Printing Technologies
article

Simulation of Micro-Void Development within Large Scale Additively Manufactured Polymer Composite Deposition Beads

article en

Abstract

Despite the growing level of technology advancement that characterizes extrusion-deposition additive manufacturing technology, there remains a significant knowledge gap in fully understanding the process-structure-property relationship involved in this technology. The ability to effectively and efficiently control the manufacturing process provides an opportunity for optimizing the complex microstructure of the polymer composite prints which can lead to significant improvement of the associated print properties and in-service part performance. Modeling the polymer melt flow extrusion-deposition process is important in understanding the development of the inherent microstructural formation. The current research presents a computational-based approach for investigating process-induced micro-voids and their impact on print properties. We develop a multiscale FEA simulation tool to predict the global and local flow-fields during the polymer-melt flow process to investigate underlying mechanisms that may promote the micro-void development within the bead microstructure and determine potential process related factors that can be controlled to mitigate micro-void formation and growth. The research also presents a computational based method for assessing the impact of micro-voids on the effective print properties. The direct implication of reduced part voidage levels is the development of high-quality functional components for specialized applications such as light weight & high strength integrity composites widely used in a variety of industries particularly the automobile, aerospace, renewable energy and defense industries.

Zenodo (CERN European Organization for Nuclear Research)
Baylor University (US), University of Michigan–Dearborn (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 55%
Additive Manufacturing and 3D Printing Technologies
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.