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Integrated Processing and Probabilistic Lifing Models for Superalloy Turbine Disks

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-10-M-5111
Agency Tracking Number: F093-117-0171
Amount: $99,552.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF093-117
Solicitation Number: 2009.3
Timeline
Solicitation Year: 2009
Award Year: 2010
Award Start Date (Proposal Award Date): 2009-12-22
Award End Date (Contract End Date): 2010-10-31
Small Business Information
750 Old Hickory Blvd, Building 2, Suite 270
Brentwood, TN 37027
United States
DUNS: 128193997
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Robert Tryon
 CTO
 (615) 372-0299
 rtryon@vextec.com
Business Contact
 Lorenz Nasser
Title: President & CEO
Phone: (615) 372-0299
Email: lnasser@vextec.com
Research Institution
N/A
Abstract

There is a critical need for integrated material prediction tools to assure the United States future competitiveness and national security. Extensive libraries of integrated computational tools are available for structures, heat transfer, fluid dynamics, electronics and manufacturing. These tools have radically reduced the time required to optimize new products for decreased cost and increased performance. However, analogous computational tools are not widely used in materials engineering. As a result, the product design and development cycle now outpaces the materials development cycle, leading to a considerable mismatch. The object of this SBIR is to develop techniques to link validated processing models that predict the following: (a) location-specific microstructure, (b) location-specific size distribution of life-limiting microstructural features resulting from variations in process parameters, and (c) complete distribution of the bulk residual stresses, with probabilistic microstructure-sensitive component life prediction codes. The work plan is based on VEXTEC’s core competency in developing multidisciplinary probabilistic frameworks that integrate computational deterministic models for each of several disciplines to create stochastic system simulations. The techniques allows for uncertainty at each discipline to be tracked within the system model. Thus the sensitivities of the modeling parameters that drive the low life component are quantified. BENEFIT: New materials insertion into a new designs takes 10 to 20 years. New computational materials engineering tools integrated with existing product development processes will not only assure our nation security needs but reinforce the competitiveness of U.S. manufacturers. These tools promise to shorten the materials development by up to 80%.

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

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