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Title: Quantifying and Qualifying Alloys Based on Level of Homogenization: A U-10Mo Alloy Case Study

Abstract

Homogenization heat treatment is performed to attain uniformity in microstructure which is helpful to achieve the desired workability and microstructure in final products and, eventually, to gain predictive and consistent performance. Fabrication of low-enriched uranium alloys with 10 wt% molybdenum (U-10Mo) fuel plates involves multiple thermomechanical processing steps. It is well known that the molybdenum homogeneity in the final formed product affects the performance in the nuclear reactor. Here, to ensure uniform homogenization, a statistical method is proposed to quantify and characterize the molybdenum concentration variation in U-10Mo fuel plates by analyzing the molybdenum concentration measurement data from scanning electron microscopy energy dispersive spectroscopy line-scan. Statistical tolerance intervals (TI) are employed to determine the qualification of the U-10Mo fuel plate. We formulate an argument for the minimum number of independent samples to define fuel plate qualification if no molybdenum measurement data are available in advance and demonstrate that the given TI requirements can be equivalently reduced to a sample variance criterion in this application. The outcome of the statistical analysis can be used to optimize casting design and eventually increase productivity and reduce fabrication costs. The statistical strategy developed in this paper can be implemented for other applications especially inmore » the field of material manufacturing to assess qualification requirements and monitor and improve the process design.« less

Authors:
 [1];  [1]; ORCiD logo [1];  [2];  [1];  [1]
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  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  2. Washington State Univ., Pullman, WA (United States). Voiland College of Engineering and Architecture
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1573027
Report Number(s):
PNNL-SA-137671
Journal ID: ISSN 0094-4289; TRN: US2001268
Grant/Contract Number:  
AC05-76RL01830
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Engineering Materials and Technology
Additional Journal Information:
Journal Volume: 142; Journal Issue: 1; Journal ID: ISSN 0094-4289
Publisher:
ASME
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; tolerance interval; U-10Mo; qualification specification; statistical analysis; casting and homogenization; quality control

Citation Formats

Wang, Chao, Xu, Zhijie, Fagan, Deborah, Field, David P., Lavender, Curt, and Joshi, Vineet V. Quantifying and Qualifying Alloys Based on Level of Homogenization: A U-10Mo Alloy Case Study. United States: N. p., 2019. Web. doi:10.1115/1.4044891.
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Wang, Chao, Xu, Zhijie, Fagan, Deborah, Field, David P., Lavender, Curt, & Joshi, Vineet V. Quantifying and Qualifying Alloys Based on Level of Homogenization: A U-10Mo Alloy Case Study. United States. https://doi.org/10.1115/1.4044891
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Wang, Chao, Xu, Zhijie, Fagan, Deborah, Field, David P., Lavender, Curt, and Joshi, Vineet V. Wed . "Quantifying and Qualifying Alloys Based on Level of Homogenization: A U-10Mo Alloy Case Study". United States. https://doi.org/10.1115/1.4044891. https://www.osti.gov/servlets/purl/1573027.
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@article{osti_1573027,
title = {Quantifying and Qualifying Alloys Based on Level of Homogenization: A U-10Mo Alloy Case Study},
author = {Wang, Chao and Xu, Zhijie and Fagan, Deborah and Field, David P. and Lavender, Curt and Joshi, Vineet V.},
abstractNote = {Homogenization heat treatment is performed to attain uniformity in microstructure which is helpful to achieve the desired workability and microstructure in final products and, eventually, to gain predictive and consistent performance. Fabrication of low-enriched uranium alloys with 10 wt% molybdenum (U-10Mo) fuel plates involves multiple thermomechanical processing steps. It is well known that the molybdenum homogeneity in the final formed product affects the performance in the nuclear reactor. Here, to ensure uniform homogenization, a statistical method is proposed to quantify and characterize the molybdenum concentration variation in U-10Mo fuel plates by analyzing the molybdenum concentration measurement data from scanning electron microscopy energy dispersive spectroscopy line-scan. Statistical tolerance intervals (TI) are employed to determine the qualification of the U-10Mo fuel plate. We formulate an argument for the minimum number of independent samples to define fuel plate qualification if no molybdenum measurement data are available in advance and demonstrate that the given TI requirements can be equivalently reduced to a sample variance criterion in this application. The outcome of the statistical analysis can be used to optimize casting design and eventually increase productivity and reduce fabrication costs. The statistical strategy developed in this paper can be implemented for other applications especially in the field of material manufacturing to assess qualification requirements and monitor and improve the process design.},
doi = {10.1115/1.4044891},
journal = {Journal of Engineering Materials and Technology},
number = 1,
volume = 142,
place = {United States},
year = {Wed Oct 09 00:00:00 EDT 2019},
month = {Wed Oct 09 00:00:00 EDT 2019}
}
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Journal Article:
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Publisher's Version of Record
https://doi.org/10.1115/1.4044891
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Figures / Tables:

Figure 1 Figure 1: The critical value zp for a standard normal distribution
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Works referenced in this record:

Classification of hydrological parameter sensitivity and evaluation of parameter transferability across 431 US MOPEX basins
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Modeling Early-Stage Processes of U-10 Wt.%Mo Alloy Using Integrated Computational Materials Engineering Concepts
journal, September 2017

The effect of thermomechanical processing on second phase particle redistribution in U-10 wt%Mo
journal, March 2018

One-Sided and Two-Sided Tolerance Intervals in General Mixed and Random Effects Models Using Small-Sample Asymptotics
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    Figures / Tables found in this record:

    Figure 1 (p. 7)figure
    Table 1 (p. 7)table
    Figure 2 (p. 9)figure
    Table 2 (p. 9)table
    Figure 3 (p. 11)figure
    Figure 4 (p. 14)figure
    Figure 5 (p. 16)figure
    Figure 6 (p. 18)figure
    Table 3 (p. 19)table
    Figure 7 (p. 20)figure
    Figure 7 (Continued) (p. 22)figure
    Table 4 (p. 23)table
    Figure 8 (p. 24)figure
    Figure 9 (p. 26)figure
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