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Multiscale Modeling for Melt Infiltration Process in Ceramic Matrix Composite (CMC) Manufacturing

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-08-M-5224
Agency Tracking Number: F081-038-0442
Amount: $99,983.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF081-038
Solicitation Number: 2008.1
Timeline
Solicitation Year: 2008
Award Year: 2008
Award Start Date (Proposal Award Date): 2008-04-15
Award End Date (Contract End Date): 2009-04-15
Small Business Information
215 Wynn Dr., 5th Floor
Huntsville, AL 35805
United States
DUNS: 185169620
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Ashok Gidwani
 Principal Engineer
 (256) 726-4995
 tsb@cfdrc.com
Business Contact
 Deb Phipps
Title: Contracts Specialist
Phone: (256) 726-4882
Email: dap@cfdrc.com
Research Institution
N/A
Abstract

CFDRC proposes to develop a comprehensive, high-fidelity commercial quality simulation tool for modeling the melt infiltration process in Ceramic Matrix Composite (CMC) manufacturing. The code will accurately predict the transient melt infiltration process with tightly-coupled detailed physics-based component-level and micro-scale models for the infiltration front and solidification in the porous preform. The foundation for this tool will be the proven multi-physics CFDRC code. In Phase I, we will demonstrate feasibility of simulating melt infiltration processes at the component level through submodels for capillary transport in porous media coupled with reaction kinetics and associated temperature and volumetric changes. In Phase II, we will improve the scope, speed and accuracy of the tool using a novel multiscale modeling approach. Tightly coupled pore-scale multiphase simulations will feed into component-level models with advanced numerical tools unique to CFDRC. These advanced tools include free surface modeling with capillary forces and variable viscosity, surface reactions and heat interactions, particle tracking, parallel processing, and stochastic solvers based on Lattice-Boltzmann and Kinetic Monte-Carlo methods. These capabilities will be coupled and integrated into a user-friendly software package. The development will be performed in close collaboration with Goodrich, a leading CMC provider, to insure relevance and facilitate technology insertion.

* Information listed above is at the time of submission. *

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