Multi-Objective Optimization and Inverse Design of Corrosion-Resistant Aluminum Alloys

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-08-C-0325
Agency Tracking Number: N08A-010-0063
Amount: $69,821.00
Phase: Phase I
Program: STTR
Awards Year: 2008
Solicitation Year: 2008
Solicitation Topic Code: N08-T010
Solicitation Number: 2008.A
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
 FLORIDA INTERNATIONAL UNIV.
 Roberto Gutierrez
 Office of Sponsored Research
11200 S.W. 8th Street, MARC 43
Miami, FL, 33199
 (305) 348-2494
 Nonprofit college or university
Abstract
The objective of proposed Phase I study is to demonstrate feasibility of alloy design for corrosion resistance of aircraft aluminum alloys via the computational optimization route. The basic methodology involves the use of experimental corrosion data of relevant alloys over a wide range of compositions as input data. Optimization algorithm will be availed for optimization of alloy composition that will result in maximum corrosion resistance and tensile strength simultaneously. The multi-objective evolutionary optimization software packages at Florida International University have the capability to deal with various alloy design applications. Because of lack of availability of appropriate input data, the optimization will focus on concentrations of alloying elements and objectives to include corrosion resistance, tensile strength, weight and cost. Considering high-strength aircraft aluminum alloys, the type of corrosion of interest is Stress Corrosion Cracking (SCC). The optimization predictions will be experimentally validated in Phase II. The evolutionary optimization approach minimizes the effort needed for alloy design by avoiding the large volume of experimentation that is characteristic of conventional alloy development, and it guarantees the mathematically best possible solutions.

* information listed above is at the time of submission.

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