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Title: Screening of Heritage Data for Improving Toughness of Creep-Resistant Martensitic Steels

Abstract

Data science methods were used to quantify the effect of alloying additions on the tensile behavior of martensitic steels. The effort was undertaken to exploit the heritage data to establish the next experimental design space for the class of 9–12 wt% Cr steels for the application of turbine rotors with an operating temperature of 650 °C and above. Linear, lasso, and multivariate multiple regression models were utilized to identify which alloying elements contribute towards strength and ductility. 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. Our research found that tantalum, recently added to improve the creep rupture lifetime, does not show any effect on tensile properties. All combined, the results suggest that the low tempering temperature has compensated for the low alloying additions in the past, therefore, new experiments are needed to isolate the effects of tempering temperature from those of individual elements.

Authors:
 [1];  [2];  [3];  [1];  [1];  [4];  [1]
+ Show Author Affiliations
  1. Case Western Reserve Univ., Cleveland, OH (United States)
  2. Case Western Reserve Univ., Cleveland, OH (United States); Feng Chia Univ., Taichung (Taiwan)
  3. National Energy Technology Lab. (NETL), Albany, OR (United States)
  4. National Energy Technology Lab. (NETL), Pittsburgh, PA (United States)
Publication Date:
Research Org.:
National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
OSTI Identifier:
1582322
Alternate Identifier(s):
OSTI ID: 1693833
Report Number(s):
NETL-PUB-22289
Journal ID: ISSN 0921-5093
Grant/Contract Number:  
FE0028685
Resource Type:
Accepted Manuscript
Journal Name:
Materials Science and Engineering. A, Structural Materials: Properties, Microstructure and Processing
Additional Journal Information:
Journal Volume: 763; Journal ID: ISSN 0921-5093
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; Martensitic Steels; Metal design; Plasticity; Data science

Citation Formats

Verma, Amit K., Huang, Wei-Heng, Hawk, Jeffery A., Bruckman, Laura S., French, Roger H., Romanov, Vyacheslav N., and Carter, Jennifer L. W. Screening of Heritage Data for Improving Toughness of Creep-Resistant Martensitic Steels. United States: N. p., 2019. Web. doi:10.1016/j.msea.2019.138142.
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Verma, Amit K., Huang, Wei-Heng, Hawk, Jeffery A., Bruckman, Laura S., French, Roger H., Romanov, Vyacheslav N., & Carter, Jennifer L. W. Screening of Heritage Data for Improving Toughness of Creep-Resistant Martensitic Steels. United States. https://doi.org/10.1016/j.msea.2019.138142
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Verma, Amit K., Huang, Wei-Heng, Hawk, Jeffery A., Bruckman, Laura S., French, Roger H., Romanov, Vyacheslav N., and Carter, Jennifer L. W. Sat . "Screening of Heritage Data for Improving Toughness of Creep-Resistant Martensitic Steels". United States. https://doi.org/10.1016/j.msea.2019.138142. https://www.osti.gov/servlets/purl/1582322.
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@article{osti_1582322,
title = {Screening of Heritage Data for Improving Toughness of Creep-Resistant Martensitic Steels},
author = {Verma, Amit K. and Huang, Wei-Heng and Hawk, Jeffery A. and Bruckman, Laura S. and French, Roger H. and Romanov, Vyacheslav N. and Carter, Jennifer L. W.},
abstractNote = {Data science methods were used to quantify the effect of alloying additions on the tensile behavior of martensitic steels. The effort was undertaken to exploit the heritage data to establish the next experimental design space for the class of 9–12 wt% Cr steels for the application of turbine rotors with an operating temperature of 650 °C and above. Linear, lasso, and multivariate multiple regression models were utilized to identify which alloying elements contribute towards strength and ductility. 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. Our research found that tantalum, recently added to improve the creep rupture lifetime, does not show any effect on tensile properties. All combined, the results suggest that the low tempering temperature has compensated for the low alloying additions in the past, therefore, new experiments are needed to isolate the effects of tempering temperature from those of individual elements.},
doi = {10.1016/j.msea.2019.138142},
journal = {Materials Science and Engineering. A, Structural Materials: Properties, Microstructure and Processing},
number = ,
volume = 763,
place = {United States},
year = {Sat Jul 13 00:00:00 EDT 2019},
month = {Sat Jul 13 00:00:00 EDT 2019}
}
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Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1016/j.msea.2019.138142
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Cited by: 9 works
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Figures / Tables:

Table 1 Table 1: Composition and heat treatment ranges for the alloy sub-classes of the class of 9-12 wt% Cr martensitic steels used in the analysis. Main alloying additions are shown with units in wt%. Elements such as C, Si, Al, P, N, S, and remaining Fe content are not included inmore » the table. Heat treatment temperature ranges are presented as TPR for tempering temperature (°C), and NML for normalization temperature (°C). NA represents that some of the observations within the sub-class do not contain the element.« less
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    Works referencing / citing this record:

    Data Assessment Method to Support the Development of Creep-Resistant Alloys
    journal, January 2020

    • Wenzlick, Madison; Bauer, Jennifer R.; Rose, Kelly
    • Integrating Materials and Manufacturing Innovation, Vol. 9, Issue 1
    • DOI: 10.1007/s40192-020-00167-3
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      Figures / Tables found in this record:

      Table 1 (p. 3)table
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      Table 2 (p. 5)table
      Figure 4 (p. 6)figure
      Table 3 (p. 6)table
      Table 4 (p. 6)table
      Table 5 (p. 6)table
      Figure 5 (p. 8)figure
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      Figure 7 (p. 9)figure
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