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Anisotropic material properties of fused deposition modeling ABS

Ahn, Sung‐Hoon, Montero, Michael, Odell, Dan, Roundy, Shad, Wright, Paul K.·2002·Rapid Prototyping Journal

Abstract

Rapid Prototyping (RP) technologies provide the ability to fabricate initial prototypes from various model materials. Stratasys Fused Deposition Modeling (FDM) is a typical RP process that can fabricate prototypes out of ABS plastic. To predict the mechanical behavior of FDM parts, it is critical to understand the material properties of the raw FDM process material, and the effect that FDM build parameters have on anisotropic material properties. This paper characterizes the properties of ABS parts fabricated by the FDM 1650. Using a Design of Experiment (DOE) approach, the process parameters of FDM, such as raster orientation, air gap, bead width, color, and model temperature were examined. Tensile strengths and compressive strengths of directionally fabricated specimens were measured and compared with injection molded FDM ABS P400 material. For the FDM parts made with a 0.003 inch overlap between roads, the typical tensile strength ranged between 65 and 72 percent of the strength of injection molded ABS P400. The compressive strength ranged from 80 to 90 percent of the injection molded FDM ABS. Several build rules for designing FDM parts were formulated based on experimental results.

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Metadata

Authors
Ahn, S., Montero, M., Odell, D., Roundy, S., & Wright, P. K.
Venue
Rapid Prototyping Journal
Publisher
Emerald
Published
2002-10-01
Volume
8
Issue
4
Pages
248-257
ISSN
1355-2546 (ISSN-L)
OpenAlex
W1978568424
Cited by
2,382
References
3
FWCI
6.48
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Anisotropic material properties of fused deposition modeling ABS. https://app.cochat.ai/papers/10.1108/13552540210441166
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Ahn, S., Montero, M., Odell, D., Roundy, S., & Wright, P. K. (2002). Anisotropic material properties of fused deposition modeling ABS. Rapid Prototyping Journal. https://doi.org/10.1108/13552540210441166

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.