Volume 105, Issue 4 p. 2421-2441
RESEARCH ARTICLE

Chemical vapor infiltration of additively manufactured preforms: Pore-resolved simulations and experimental validation

Vimal Ramanuj

Corresponding Author

Vimal Ramanuj

Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA

Correspondence

Vimal Ramanuj, Computational Sciences and Engineering Division, Oak Ridge National Laboratory, 1 Bethel Valley Rd., Oak Ridge, TN 37831, USA.

Email: [email protected]

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Ramanan Sankaran

Ramanan Sankaran

Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA

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Brian Jolly

Brian Jolly

Materials Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA

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Austin Schumacher

Austin Schumacher

Materials Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA

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David Mitchell

David Mitchell

Materials Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA

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First published: 17 November 2021
Citations: 1

This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

Abstract

The densification of additively manufactured porous preforms by chemical vapor infiltration (CVI) is studied using pore-resolved simulations and experiments. Experimentally, 3D printed silicon carbide (SiC) preforms are subject to CVI synthesis using methyltrichlorosilane (MTS) precursor to obtain high purity SiC/SiC composites. Optical images of the cross sections of the processed preforms are analyzed to obtain the spatial porosity distribution. The numerical method is based on a level set formulation to capture the spatial distribution and time evolution of the pore scale microstructural characteristics. The coupled transport and kinetic effects are represented using a dimensionless Thiele modulus. Simulations are initialized using representative synthetic preform geometries comprising of packed particles based on the size distribution of the powder used for 3D printing. The simulation results are validated against the experimental observations in terms of total density and the distribution of residual porosity. The densification characteristics, porosity classification, concentration profiles, and structure functions are analyzed as functions of processing temperature and Thiele modulus.