Alloy Design for Corrosion Resistance Via Computational Optimization Route

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-09-M-0415
Agency Tracking Number: O091-C01-4019
Amount: $99,996.00
Phase: Phase I
Program: SBIR
Awards Year: 2009
Solicitation Year: 2009
Solicitation Topic Code: OSD09-C01
Solicitation Number: 2009.1
Small Business Information
Touchstone Research Laboratory, Ltd.
The Millennium Centre, R.R. 1, Box 100B, Triadelphia, WV, 26059
DUNS: 101582922
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 G.S. Murty
 Senior Materials Engineer
 (304) 547-5800
 gsm@trl.com
Business Contact
 Brian Joseph
Title: President, COO
Phone: (304) 547-5800
Email: bej@trl.com
Research Institution
N/A
Abstract
The objective of the proposed SBIR Phase I study is to evolve an aluminum alloy (7xxx series) with superior corrosion resistance and mechanical properties making use of computational tools. The methodology of this approach is to obtain corrosion data from the literature as input data and then perform optimization trials making use of the multi-objective hybrid evolutionary optimization software packages and response surface methodologies of Florida International University. This software has the proven capability to deal with various alloy design applications using minimal experimental data. The computational trials will yield optimal alloy composition for the best combination of corrosion resistance and mechanical properties, simultaneously. The evolutionary optimization approach minimizes the effort needed for alloy design by avoiding a large volume of experimentation, characteristic of conventional alloy development, and guarantees the mathematically best possible solutions. The results of optimization will be experimentally validated by processing an alloy of predicted composition and evaluating its corrosion resistance and mechanical properties in Phase I. More intensive evaluations of alloy developed in Phase I will continue towards implementation of Phase I results into practice in Phase II.

* information listed above is at the time of submission.

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