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Numerical Simulation of a Core-Shell Polymer Strand in Material Extrusion Additive Manufacturing
Hamid Narei1, Maryam Fatehifar2, Ashley Howard Malt3
1Faculty of New Sciences and Technologies, University of Tehran, Tehran 1439957131, Iran.
This study uses computational fluid dynamics (CFD) to optimize material extrusion additive manufacturing (ME-AM) for core-shell polymer strands. The best parameters ensure complete core encapsulation and high core volume fraction in 3D printing.
Area of Science:
- Materials Science
- Polymer Engineering
- Additive Manufacturing
Background:
- Material extrusion additive manufacturing (ME-AM) is a novel technique for producing core-shell polymer structures.
- ME-AM offers enhanced mechanical properties and dimensional accuracy compared to traditional 3D printing methods.
- Optimizing operating parameters is crucial for achieving desired quality in 3D-printed products.
Purpose of the Study:
- To identify optimal operating parameters for 3D printing core-shell polymer strands using ME-AM.
- To achieve complete encapsulation of the core polymer within the shell polymer.
- To maximize the volume fraction of the core polymer in the final printed strand.
Main Methods:
- Numerical simulations utilizing computational fluid dynamics (CFD).
- Modeling the deposition flow controlled by three dimensionless parameters: diameter ratio (d/D), normalized gap (t/D), and velocity ratio (V/U).
- Analyzing cross-sections of deposited strands to evaluate encapsulation and morphology.
Main Results:
- The study identified specific operating parameters that lead to successful core-shell strand formation.
- Complete encapsulation of the core material by the shell material was achieved under optimal conditions.
- The shape and size of the printed strand were significantly influenced by the selected parameters.
Conclusions:
- Optimal operating parameters for ME-AM core-shell polymer printing were determined.
- A diameter ratio (d/D) of 0.7, a normalized gap (t/D) of 1, and a velocity ratio (V/U) of 1 are recommended.
- These parameters ensure high core volume fraction and complete encapsulation for improved 3D-printed polymer products.
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