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Journal article
Formulation of a Model Resin System for Benchmarking Processing-Property Relationships in High-Performance Photo 3D Printing Applications
Materials, v 13(18), p4109
01 Sep 2020
PMID: 32947908
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
A well-defined resin system is needed to serve as a benchmark for 3D printing of high-performance composites. This work describes the design and characterization of such a system that takes into account processability and performance considerations. The Grunberg-Nissan model for resin viscosity and the Fox equation for polymer T-g were used to determine proper monomer ratios. The target viscosity of the resin was below 500 cP, and the target final T-g of the cured polymer was 150 degrees C based on tan-delta peak from dynamic mechanical analysis. A tri-component model resin system, termed DA-2 resin, was determined and fully characterized. The printed polymer exhibited good thermal properties and high mechanical strength after post-cure, but has a comparatively low fracture toughness. The model resin will be used in additive manufacturing of fiber reinforced composite materials as well as for understanding the fundamental processing-property relationships in light-based 3D printing.
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Details
- Title
- Formulation of a Model Resin System for Benchmarking Processing-Property Relationships in High-Performance Photo 3D Printing Applications
- Creators
- Jianwei Tu - Drexel UniversityKamran Makarian - Drexel UniversityNicolas J. Alvarez - Drexel UniversityGiuseppe R. Palmese - Drexel University
- Publication Details
- Materials, v 13(18), p4109
- Publisher
- Mdpi
- Number of pages
- 15
- Grant note
- W911NF-14-2-0227 / Army Research Laboratory; United States Department of Defense; US Army Research Laboratory (ARL)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Chemical and Biological Engineering
- Web of Science ID
- WOS:000581418300001
- Scopus ID
- 2-s2.0-85091328059
- Other Identifier
- 991019168221404721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Chemistry, Physical
- Materials Science, Multidisciplinary
- Metallurgy & Metallurgical Engineering
- Physics, Applied
- Physics, Condensed Matter