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Title: Data Analytics for Alloy Qualification

Abstract

9-12% Cr-steels are used as structural material in boiler and turbine (rotor/casing) applications, with a power plant designed to operate for at least 30 years at either sub- or supercritical conditions (high pressure and temperature). In high-efficiency power plants, some components must withstand high stress and temperature for 100,000 h of operation without failure (Abe, 2011; Abe, et al., 2008; Coleman & Newell Jr., 2007; Viswanathan, 1989; Viswanathan & Bakker, 2001; Viswanathan & Bakker, 2001; Masuyama, 2001). Motivation for this project came from the need for rigorous and time-consuming alloy qualification (standardization) process, for crucial applications. Material scientists have traditionally manipulated alloying element composition and thermomechanical processing to achieve specific mechanical properties in alloys. The goals of this work were to develop a systematic and data-centric framework for analysis and characterization of materials information, to explore new alloy compositions and/or processing, and to better predict stress-rupture lifetime and other mechanical properties. A small subset of carbon steels with similar ferritic or martensitic lath microstructure (and average prior austenite grain size) was chosen for this analysis.

Authors:
 [1];  [1];  [2];  [2];  [2];  [2];  [1];  [3]
  1. National Energy Technology Lab. (NETL), Pittsburgh, PA, (United States)
  2. Case Western Reserve Univ., Cleveland, OH (United States)
  3. National Energy Technology Lab. (NETL), Albany, OR (United States)
Publication Date:
Research Org.:
National Energy Technology Lab. (NETL), Pittsburgh, PA, and Morgantown, WV (United States); Oak Ridge Inst. for Science and Education (ORISE), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
OSTI Identifier:
1456238
Report Number(s):
NETL-PUB-21550
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; 97 MATHEMATICS AND COMPUTING

Citation Formats

Krishnamurthy, Narayanan, Maddali, Siddharth, Verma, Amit, Bruckman, Laura, Carter, Jennifer, French, Roger, Romanov, Vyacheslav, and Hawk, Jeffrey. Data Analytics for Alloy Qualification. United States: N. p., 2018. Web. doi:10.2172/1456238.
Krishnamurthy, Narayanan, Maddali, Siddharth, Verma, Amit, Bruckman, Laura, Carter, Jennifer, French, Roger, Romanov, Vyacheslav, & Hawk, Jeffrey. Data Analytics for Alloy Qualification. United States. doi:10.2172/1456238.
Krishnamurthy, Narayanan, Maddali, Siddharth, Verma, Amit, Bruckman, Laura, Carter, Jennifer, French, Roger, Romanov, Vyacheslav, and Hawk, Jeffrey. Tue . "Data Analytics for Alloy Qualification". United States. doi:10.2172/1456238. https://www.osti.gov/servlets/purl/1456238.
@article{osti_1456238,
title = {Data Analytics for Alloy Qualification},
author = {Krishnamurthy, Narayanan and Maddali, Siddharth and Verma, Amit and Bruckman, Laura and Carter, Jennifer and French, Roger and Romanov, Vyacheslav and Hawk, Jeffrey},
abstractNote = {9-12% Cr-steels are used as structural material in boiler and turbine (rotor/casing) applications, with a power plant designed to operate for at least 30 years at either sub- or supercritical conditions (high pressure and temperature). In high-efficiency power plants, some components must withstand high stress and temperature for 100,000 h of operation without failure (Abe, 2011; Abe, et al., 2008; Coleman & Newell Jr., 2007; Viswanathan, 1989; Viswanathan & Bakker, 2001; Viswanathan & Bakker, 2001; Masuyama, 2001). Motivation for this project came from the need for rigorous and time-consuming alloy qualification (standardization) process, for crucial applications. Material scientists have traditionally manipulated alloying element composition and thermomechanical processing to achieve specific mechanical properties in alloys. The goals of this work were to develop a systematic and data-centric framework for analysis and characterization of materials information, to explore new alloy compositions and/or processing, and to better predict stress-rupture lifetime and other mechanical properties. A small subset of carbon steels with similar ferritic or martensitic lath microstructure (and average prior austenite grain size) was chosen for this analysis.},
doi = {10.2172/1456238},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {3}
}