|About this Abstract
||7th World Congress on Integrated Computational Materials Engineering (ICME 2023)
||Physics-constrained, Inverse Design of High-temperature Strength Printable Aluminum Alloys with Low Cost and CO2 Emissions for High Demand Industries
||Ben Glaser, S. Mohadeseh Taheri-Mousavi
|On-Site Speaker (Planned)
Printable high-temperature strength aluminum alloys are long standing goals in the structural material community for aerospace applications and can be leveraged for high-demand industries like automotive provided that their cost and sustainability metrics match the requirements of large-scale production. These metrics add additional constraints besides printability and typical mechanical performance for these alloys. We recently designed a record high-0temperature strength printable Al alloy from the Al-Ni-Er-Zr-Y-Yb system and experimentally validated its performance. To adapt this design for high-demand industries, on data from CALPHAD-based ICME calculations we applied various unsupervised learning techniques and Bayesian optimization to efficiently explore the space and optimize the complex objective functions We developed a design that enables cost reductions of 30-50 percent compared to the record alloy while maintaining 95 percent strength performance.