Journal Article

Mapping Multivariate Influence of Alloying Elements on Creep Behavior for Design of New Martensitic Steels

Hawk, Jeffery A, Verma, Amit K, Bruckman, Laura S, French, Roger H, Carter, Jennifer L W, Romanov, Vyacheslav

2019

Overview

Heritage data for the class of 9 to 12 wt pct Cr steels are studied using data science to quantify the statistically significant relationships among multiple processing/microstructure and performance variables. The effort is undertaken to find new martensitic steels for creep life of \\[10^5{{\\text { hours}}}\\] or greater at 650 °C and 100 MPa using machine learning. Linear regression and lasso regression were utilized to identify alloying elements that contribute towards better creep strength. Visualization techniques such as t-distributed stochastic neighbor embedding and pair-wire element specific comparisons were utilized to explore information gaps that exist within the data and are in conflict with existing domain knowledge. Combining all results suggest that the next alloy design to be explored should be 9 wt pct Cr with high W (2 to 3 wt pct) and high Co (2 to 3 wt pct) for creep life of \\[10^5\\,\\,{\\text { hours}}\\] or greater at 650 °C, 100 MPa.

• Publisher: Springer Nature B.V
• Subject: Alloying elements / Chromium / Creep life / Creep strength / Heat treating / Machine learning / Mapping / Martensitic stainless steels / Temperature / Tungsten