The Alloy Optimization Software (TAOS)

Image of the user-friendly GUI where a suitable CALPHAD database is loaded, an objective is defined within a series of constraints related to phase, composition, etc. The system automatically optimizes for best alloy candidates (lower right panel).
Image of the user-friendly GUI where a suitable CALPHAD database is loaded, an objective is defined within a series of constraints related to phase, composition, etc.  The system automatically optimizes for best alloy candidates 
(lower right panel).

CMI researchers from Lawrence Livermore National Laboratory conducted the activity for this highlight

Innovation 
Software enabling alloys designed to meet targeted requirements.

Achievement
A user-friendly commercialized tool at LLNL that enables computational design of optimal alloys with a targeted property (e.g., melting temperature) under constraints (e.g., phases to avoid) in minutes to hours -vs- weeks for traditional modeling methods. Further support will be provided through a Technology Maturation Grant provided by NNSA’s NA.10.1.

Significance and Impact

  • Reduced cost and time to market for alloy designs
  • Can be run by non-specialists on stand-alone computers
  • Automates down-select from a large multicomponent phase space to a manageable number of experimental targets. 
  • Viable for both conventional and advanced manufacturing

Hub Target Addressed 
Developing and applying scientific tools to accelerate technology maturation.