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

Journal Article · · Metallurgical and Materials Transactions. A, Physical Metallurgy and Materials Science
 [1];  [2];  [1];  [1];  [3];  [1]
  1. Case Western Reserve Univ., Cleveland, OH (United States)
  2. National Energy Technology Lab. (NETL), Albany, OR (United States)
  3. National Energy Technology Lab. (NETL), Pittsburgh, PA (United States)

Here, 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 105 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. Lastly, cfombining 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 105 hours or greater at 650 °C, 100 MPa.

Research Organization:
National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)
Sponsoring Organization:
USDOE Office of Fossil Energy (FE)
Grant/Contract Number:
FE0028685
OSTI ID:
1582393
Report Number(s):
NETL-PUB-22139
Journal Information:
Metallurgical and Materials Transactions. A, Physical Metallurgy and Materials Science, Vol. 50, Issue 7; ISSN 1073-5623
Publisher:
ASM InternationalCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 22 works
Citation information provided by
Web of Science

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