An Integrated Simulation of Multiple-Pass U-10Mo Alloy Hot Rolling and Static Recrystallization

Frazier, William E.; Kalia, Karun; Wang, Chao; Choi, Kyoo Sil; Field, David P.; Hu, Shenyang; Soulami, Ayoub; Joshi, Vineet V.

doi:10.1007/s11661-023-07077-x

An Integrated Simulation of Multiple-Pass U-10Mo Alloy Hot Rolling and Static Recrystallization

Journal Article · Mon Jun 26 00:00:00 EDT 2023 · Metallurgical and Materials Transactions. A, Physical Metallurgy and Materials Science

DOI:https://doi.org/10.1007/s11661-023-07077-x· OSTI ID:2000667

Frazier, William E. ^[1]; Kalia, Karun ^[2]; Wang, Chao ^[3]; Choi, Kyoo Sil ^[1]; Field, David P. ^[4]; ^[1]; ^[1]; ^[1]

Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
University of Massachusetts, Lowell, MA (United States)
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Framatome, Richland, WA (United States)
Washington State University, Pullman, WA (United States)

To achieve a desired microstructure and minimize the thickness variation in rolled foils, researchers must understand the effects of foil fabrication process variables on microstructure evolution. We developed an integrated simulation of deformation and recrystallization that employs the finite element method (FEM) and the kinetic Monte Carlo (KMC) Potts model, respectively, to investigate microstructure evolution during multiple-pass hot rolling and heat treatment in polycrystalline U-10Mo fuel. Scanning electron microscopy and electron backscatter diffraction images of microstructures were directly used as input in FEM calculation of deformation, and the calculated strains were used to determine the driving force of nucleation and growth of recrystallized grains in the Potts model. Grain structures predicted by the Potts model were used to update the grain structure and material properties for FEM. Simulation alternated between FEM and the Potts model to simulate grain structure evolution during multiple rolling and heat treatments. The initial model parameters were determined by benchmarking the recrystallization kinetics against experimental data. Then, the model was applied to predict the grain structure evolution. Results showed that our model can capture the coupling between deformation and recrystallization and can quantitatively reproduce the observed U-10Mo recrystallization and grain growth kinetics. The simulation results demonstrated that the developed model can predict U-10Mo grain structures as a function of initial microstructure and foil fabrication parameters.

View Accepted Manuscript (DOE)

Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC05-76RL01830

OSTI ID:: 2000667

Report Number(s):: PNNL-SA--170537

Journal Information:: Metallurgical and Materials Transactions. A, Physical Metallurgy and Materials Science, Journal Name: Metallurgical and Materials Transactions. A, Physical Metallurgy and Materials Science Journal Issue: 9 Vol. 54; ISSN 1073-5623

Publisher:: ASM InternationalCopyright Statement

Country of Publication:: United States

Language:: English

References (81)

Rapid dislocation-density mapping of as-cut crystalline silicon wafers: Rapid dislocation-density mapping of as-cut crystalline silicon wafers Needleman, David Berney; Choi, Hyunjoo; Powell, Douglas M. physica status solidi (RRL) - Rapid Research Letters, Vol. 7, Issue 12 https://doi.org/10.1002/pssr.201308150	journal	October 2013
Particle Stimulated Nucleation in Coarse-Grained Ferritic Stainless Steel de Siqueira, Rodrigo Pinto; Sandim, Hugo Ricardo Zschommler; Raabe, Dierk Metallurgical and Materials Transactions A, Vol. 44, Issue 1 https://doi.org/10.1007/s11661-012-1408-x	journal	September 2012
Static Recrystallization Kinetics and Crystallographic Texture of Nb-Stabilized Ferritic Stainless Steel Based on Orientation Imaging Microscopy Malta, Paula Oliveira; Alves, Davi Silva; Ferreira, Aline Oliveira Vasconcelos Metallurgical and Materials Transactions A, Vol. 48, Issue 3 https://doi.org/10.1007/s11661-016-3935-3	journal	January 2017
Analysis of Particle-Stimulated Nucleation (PSN)-Dominated Recrystallization for Hot-Rolled 7050 Aluminum Alloy Adam, Khaled F.; Long, Zhengdong; Field, David P. Metallurgical and Materials Transactions A, Vol. 48, Issue 4 https://doi.org/10.1007/s11661-017-3967-3	journal	January 2017
Recrystallization and Grain Growth Simulations for Multiple-Pass Rolling and Annealing of U-10Mo Frazier, William; Wang, Chao; Xu, Zhijie Metallurgical and Materials Transactions A, Vol. 51, Issue 2 https://doi.org/10.1007/s11661-019-05582-6	journal	December 2019
The Effect of Homogenization Heat Treatment on the Texture Evolution in U-10Mo Alloy Schuessler, Benjamin J.; Field, David P.; Overman, Nicole R. Metallurgical and Materials Transactions A, Vol. 52, Issue 9 https://doi.org/10.1007/s11661-021-06349-8	journal	June 2021
Modeling the Controlled Recrystallization of Particle-Containing Aluminum Alloys Adam, Khaled; Root, Jameson M.; Long, Zhengdong Journal of Materials Engineering and Performance, Vol. 26, Issue 1 https://doi.org/10.1007/s11665-016-2436-2	journal	December 2016
Computer Vision and Machine Learning for Autonomous Characterization of AM Powder Feedstocks DeCost, Brian L.; Jain, Harshvardhan; Rollett, Anthony D. JOM, Vol. 69, Issue 3 https://doi.org/10.1007/s11837-016-2226-1	journal	December 2016
A Rate-Theory–Phase-Field Model of Irradiation-Induced Recrystallization in UMo Nuclear Fuels Hu, Shenyang; Joshi, Vineet; Lavender, Curt A. JOM, Vol. 69, Issue 12 https://doi.org/10.1007/s11837-017-2611-4	journal	October 2017
Dislocation-particle interactions during high temperature deformation of two-phase aluminium alloys Humphreys, F. J.; Kalu, P. N. Acta Metallurgica, Vol. 35, Issue 12 https://doi.org/10.1016/0001-6160(87)90281-1	journal	December 1987
The uranium-molybdenum equilibrium diagram below 900° C Dwight, Austin E. Journal of Nuclear Materials, Vol. 2, Issue 1 https://doi.org/10.1016/0022-3115(60)90028-3	journal	March 1960
Computer simulation of recrystallization—III. Influence of a dispersion of fine particles Rollett, A. D.; Srolovitz, D. J.; Anderson, M. P. Acta Metallurgica et Materialia, Vol. 40, Issue 12 https://doi.org/10.1016/0956-7151(92)90062-J	journal	December 1992
Overview of modeling and simulation of recrystallization Rollett, A. D. Progress in Materials Science, Vol. 42, Issue 1-4 https://doi.org/10.1016/S0079-6425(97)00008-X	journal	January 1997
Modeling the kinetics and microstructural evolution during static recrystallization—Monte Carlo simulation of recrystallization Radhakrishnan, B.; Sarma, G. B.; Zacharia, T. Acta Materialia, Vol. 46, Issue 12 https://doi.org/10.1016/S1359-6454(98)00077-9	journal	July 1998
Scanning X-ray diffraction peak profile analysis in deformed Cu-polycrystals by synchrotron radiation1This work is dedicated to Professor Dr Guenther Schoeck on the occasion of his 70th birthday.1 Zehetbauer, M.; Ungár, T.; Kral, R. Acta Materialia, Vol. 47, Issue 3 https://doi.org/10.1016/S1359-6454(98)00366-8	journal	February 1999
Scaling Monte Carlo kinetics of the Potts model using rate theory Raabe, D. Acta Materialia, Vol. 48, Issue 7 https://doi.org/10.1016/S1359-6454(99)00451-6	journal	April 2000
Three-dimensional investigation of particle-stimulated nucleation in a nickel alloy Xu, W.; Ferry, M.; Cairney, J. Acta Materialia, Vol. 55, Issue 15 https://doi.org/10.1016/j.actamat.2007.05.045	journal	September 2007
Microstructure-based finite element analysis of strain localization behavior in AA5754 aluminum sheet Hu, X. H.; Jain, M.; Wilkinson, D. S. Acta Materialia, Vol. 56, Issue 13 https://doi.org/10.1016/j.actamat.2008.02.048	journal	August 2008
Overview of constitutive laws, kinematics, homogenization and multiscale methods in crystal plasticity finite-element modeling: Theory, experiments, applications Roters, F.; Eisenlohr, P.; Hantcherli, L. Acta Materialia, Vol. 58, Issue 4 https://doi.org/10.1016/j.actamat.2009.10.058	journal	February 2010
Geometrically necessary dislocation density distributions in cyclically deformed Ti–6Al–4V Littlewood, P. D.; Wilkinson, A. J. Acta Materialia, Vol. 60, Issue 15 https://doi.org/10.1016/j.actamat.2012.07.003	journal	September 2012
Recrystallization behavior of a high-manganese steel: Experiments and simulations Haase, Christian; Kühbach, Markus; Barrales-Mora, Luis A. Acta Materialia, Vol. 100 https://doi.org/10.1016/j.actamat.2015.08.057	journal	November 2015
Transformation kinetics for nucleation on second-phase particles: analytical solution and computer simulation Alves, André L. M.; Villa, Elena; Rios, Paulo R. Acta Materialia, Vol. 131 https://doi.org/10.1016/j.actamat.2017.03.078	journal	June 2017
An integrated fast Fourier transform-based phase-field and crystal plasticity approach to model recrystallization of three dimensional polycrystals Chen, L.; Chen, J.; Lebensohn, R. A. Computer Methods in Applied Mechanics and Engineering, Vol. 285 https://doi.org/10.1016/j.cma.2014.12.007	journal	March 2015
2D cellular automaton simulation of the recrystallization texture of an IF sheet steel under consideration of Zener pinning Raabe, Dierk; Hantcherli, Luc Computational Materials Science, Vol. 34, Issue 4 https://doi.org/10.1016/j.commatsci.2004.12.067	journal	December 2005
Microstructure prediction of the austenite recrystallization during multi-pass steel strip hot rolling: A cellular automaton modeling Zheng, Chengwu; Xiao, Namin; Li, Dianzhong Computational Materials Science, Vol. 44, Issue 2 https://doi.org/10.1016/j.commatsci.2008.04.010	journal	December 2008
A 3D Monte Carlo study of the effect of grain boundary anisotropy and particles on the size distribution of grains after recrystallisation and grain growth Fjeldberg, Egil; Marthinsen, Knut Computational Materials Science, Vol. 48, Issue 2 https://doi.org/10.1016/j.commatsci.2010.01.007	journal	April 2010
Simulation of static recrystallization in non-isothermal annealing using a coupled cellular automata and finite element model Seyed Salehi, M.; Serajzadeh, S. Computational Materials Science, Vol. 53, Issue 1 https://doi.org/10.1016/j.commatsci.2011.09.026	journal	February 2012
Investigation on dynamic recrystallization using a modified cellular automaton Jin, Zhaoyang; Cui, Zhenshan Computational Materials Science, Vol. 63 https://doi.org/10.1016/j.commatsci.2012.06.028	journal	October 2012
Modeling the dynamic recrystallization in austenitic stainless steel using cellular automaton method Chen, Fei; Qi, Ke; Cui, Zhenshan Computational Materials Science, Vol. 83 https://doi.org/10.1016/j.commatsci.2013.11.029	journal	February 2014
A new point of view to determine the simulation temperature for the Potts model simulation of grain growth Zöllner, D. Computational Materials Science, Vol. 86 https://doi.org/10.1016/j.commatsci.2014.01.044	journal	April 2014
A mean field model of dynamic and post-dynamic recrystallization predicting kinetics, grain size and flow stress Beltran, O.; Huang, K.; Logé, R. E. Computational Materials Science, Vol. 102 https://doi.org/10.1016/j.commatsci.2015.02.043	journal	May 2015
3D level set modeling of static recrystallization considering stored energy fields Scholtes, Benjamin; Boulais-Sinou, Romain; Settefrati, Amico Computational Materials Science, Vol. 122 https://doi.org/10.1016/j.commatsci.2016.04.045	journal	September 2016
Investigation of Dynamic Abnormal Grain Growth using the Monte Carlo Potts method Williamson, A.; Delplanque, J. -P. Computational Materials Science, Vol. 124 https://doi.org/10.1016/j.commatsci.2016.07.025	journal	November 2016
Mesoscale model for fission-induced recrystallization in U-7Mo alloy Liang, Linyun; Mei, Zhi-Gang; Kim, Yeon Soo Computational Materials Science, Vol. 124 https://doi.org/10.1016/j.commatsci.2016.07.033	journal	November 2016
The Material Point Monte Carlo model: A discrete, off-lattice method for microstructural evolution simulations Goins, Philip E.; Holm, Elizabeth A. Computational Materials Science, Vol. 124 https://doi.org/10.1016/j.commatsci.2016.08.017	journal	November 2016
Mesoscopic coupled modeling of texture formation during recrystallization considering stored energy decomposition Kim, Dong-Kyu; Woo, Wanchuck; Park, Won-Woong Computational Materials Science, Vol. 129 https://doi.org/10.1016/j.commatsci.2016.11.048	journal	March 2017
Fission-induced recrystallization effect on intergranular bubble-driven swelling in U-Mo fuel Liang, Linyun; Mei, Zhi-Gang; Yacout, Abdellatif M. Computational Materials Science, Vol. 138 https://doi.org/10.1016/j.commatsci.2017.06.013	journal	October 2017
Simulation of dynamic recrystallization in AZ80 magnesium alloy using cellular automaton Li, Xialei; Li, Xiaolong; Zhou, Haitao Computational Materials Science, Vol. 140 https://doi.org/10.1016/j.commatsci.2017.08.039	journal	December 2017
Full-field predictions of ice dynamic recrystallisation under simple shear conditions Llorens, Maria-Gema; Griera, Albert; Bons, Paul D. Earth and Planetary Science Letters, Vol. 450 https://doi.org/10.1016/j.epsl.2016.06.045	journal	September 2016
Static recrystallization simulations starting from predicted deformation microstructure by coupling multi-phase-field method and finite element method based on crystal plasticity Takaki, T.; Tomita, Y. International Journal of Mechanical Sciences, Vol. 52, Issue 2 https://doi.org/10.1016/j.ijmecsci.2009.09.037	journal	February 2010
Evolution of recrystallization textures in particle containing Al alloys after various rolling reductions: Experimental study and modeling Sidor, Jurij J.; Decroos, Koen; Petrov, Roumen H. International Journal of Plasticity, Vol. 66 https://doi.org/10.1016/j.ijplas.2014.08.009	journal	March 2015
The orientation and strain dependence of dislocation structure evolution in monotonically deformed polycrystalline copper Jiang, Jun; Britton, T. Ben; Wilkinson, Angus J. International Journal of Plasticity, Vol. 69 https://doi.org/10.1016/j.ijplas.2015.02.005	journal	June 2015
An integrated full-field model of concurrent plastic deformation and microstructure evolution: Application to 3D simulation of dynamic recrystallization in polycrystalline copper Zhao, Pengyang; Song En Low, Thaddeus; Wang, Yunzhi International Journal of Plasticity, Vol. 80 https://doi.org/10.1016/j.ijplas.2015.12.010	journal	May 2016
Constitutive modeling of strain induced grain boundary migration via coupling crystal plasticity and phase-field methods Jafari, M.; Jamshidian, M.; Ziaei-Rad, S. International Journal of Plasticity, Vol. 99 https://doi.org/10.1016/j.ijplas.2017.08.004	journal	December 2017
Study of microstructural grain and geometric size effects on plastic heterogeneities at grain-level by using crystal plasticity modeling with high-fidelity representative microstructures Zhang, Haiming; Liu, Juan; Sui, Dashan International Journal of Plasticity, Vol. 100 https://doi.org/10.1016/j.ijplas.2017.09.011	journal	January 2018
Modeling of continuous dynamic recrystallization of Al-Zn-Cu-Mg alloy during hot deformation based on the internal-state-variable (ISV) method Sun, Z. C.; Wu, H. L.; Cao, J. International Journal of Plasticity, Vol. 106 https://doi.org/10.1016/j.ijplas.2018.03.002	journal	July 2018
The influence of particle shape, volume fraction and distribution on post-necking deformation and fracture in uniaxial tension of AA5754 sheet materials Hu, Xiaohua; Wilkinson, David S.; Jain, Mukesh International Journal of Solids and Structures, Vol. 46, Issue 13 https://doi.org/10.1016/j.ijsolstr.2009.02.012	journal	June 2009
Slip transfer and plastic strain accumulation across grain boundaries in Hastelloy X Abuzaid, Wael Z.; Sangid, Michael D.; Carroll, Jay D. Journal of the Mechanics and Physics of Solids, Vol. 60, Issue 6 https://doi.org/10.1016/j.jmps.2012.02.001	journal	June 2012
Effects of heat treatment on U–Mo fuel foils with a zirconium diffusion barrier Jue, Jan-Fong; Trowbridge, Tammy L.; Breckenridge, Cynthia R. Journal of Nuclear Materials, Vol. 460 https://doi.org/10.1016/j.jnucmat.2015.02.017	journal	May 2015
Microstructural evolution of a uranium-10 wt.% molybdenum alloy for nuclear reactor fuels Clarke, A. J.; Clarke, K. D.; McCabe, R. J. Journal of Nuclear Materials, Vol. 465 https://doi.org/10.1016/j.jnucmat.2015.07.004	journal	October 2015
Modeling the homogenization kinetics of as-cast U-10wt% Mo alloys Xu, Zhijie; Joshi, Vineet; Hu, Shenyang Journal of Nuclear Materials, Vol. 471 https://doi.org/10.1016/j.jnucmat.2015.11.026	journal	April 2016
Monte Carlo modeling of recrystallization processes in α-uranium Steiner, M. A.; McCabe, R. J.; Garlea, E. Journal of Nuclear Materials, Vol. 492 https://doi.org/10.1016/j.jnucmat.2017.04.026	journal	August 2017
Short communication on Kinetics of grain growth and particle pinning in U-10 wt.% Mo Frazier, William E.; Hu, Shenyang; Overman, Nicole Journal of Nuclear Materials, Vol. 498 https://doi.org/10.1016/j.jnucmat.2017.10.041	journal	January 2018
The effect of thermomechanical processing on second phase particle redistribution in U-10 wt%Mo Hu, Xiaohua; Wang, Xiaowo; Joshi, Vineet V. Journal of Nuclear Materials, Vol. 500 https://doi.org/10.1016/j.jnucmat.2017.12.042	journal	March 2018
Recrystallization kinetics of cold-rolled U-10 wt% Mo Frazier, William E.; Hu, Shenyang; Overman, Nicole Journal of Nuclear Materials, Vol. 513 https://doi.org/10.1016/j.jnucmat.2018.10.046	journal	January 2019
A Monte Carlo model of irradiation-induced recrystallization in polycrystalline UMo fuels Frazier, William E.; Hu, Shenyang; Burkes, Douglas E. Journal of Nuclear Materials, Vol. 524 https://doi.org/10.1016/j.jnucmat.2019.07.004	journal	October 2019
Simulations of post-recrystallization grain growth in monolithic U–10Mo fuel processing Frazier, William E.; Hu, Shenyang; Overman, Nicole Journal of Nuclear Materials, Vol. 526 https://doi.org/10.1016/j.jnucmat.2019.151763	journal	December 2019
The role of second phase particles and grain boundaries on recrystallization: Quasi-in situ experiments and modeling in U-10Mo alloy system Reeve, Jacqueline I.; Schuessler, Benjamin J.; Frazier, William E. Journal of Nuclear Materials, Vol. 559 https://doi.org/10.1016/j.jnucmat.2021.153445	journal	February 2022
A review of dynamic recrystallization phenomena in metallic materials Huang, K.; Logé, R. E. Materials & Design, Vol. 111 https://doi.org/10.1016/j.matdes.2016.09.012	journal	December 2016
The impact of particle distributions and grain-level inhomogeneities on post-necking deformation and fracture in AA5754 sheet alloys during uniaxial tension Hu, X. H.; Wilkinson, D. S.; Jain, M. Materials Science and Engineering: A, Vol. 528, Issue 4-5 https://doi.org/10.1016/j.msea.2010.11.051	journal	February 2011
Effect of second phase particles and stringers on microstructures after rolling and recrystallization Cheng, Guang; Hu, Xiaohua; Frazier, William E. Materials Science and Engineering: A, Vol. 736 https://doi.org/10.1016/j.msea.2018.08.040	journal	October 2018
Minimizing thickness variation in monolithic U-10Mo fuel foil and Zr interlayer during hot rolling: A microstructure-based finite element method analysis Li, Lei; Fortier, Aaron; Ramirez-Tamayo, Daniel Materials Today Communications, Vol. 32 https://doi.org/10.1016/j.mtcomm.2022.103910	journal	August 2022
Particle stimulated nucleation during dynamic recrystallization using a cellular automata model Goetz, R. Scripta Materialia, Vol. 52, Issue 9 https://doi.org/10.1016/j.scriptamat.2005.01.012	journal	May 2005
Level set framework for the finite-element modelling of recrystallization and grain growth in polycrystalline materials Bernacki, M.; Logé, R. E.; Coupez, T. Scripta Materialia, Vol. 64, Issue 6 https://doi.org/10.1016/j.scriptamat.2010.11.032	journal	March 2011
An insight into dislocation density reduction in multicrystalline silicon Woo, Soobin; Bertoni, Mariana; Choi, Kwangmin Solar Energy Materials and Solar Cells, Vol. 155 https://doi.org/10.1016/j.solmat.2016.03.040	journal	October 2016
Assessment of local deformation using EBSD: Quantification of accuracy of measurement and definition of local gradient Kamaya, Masayuki Ultramicroscopy, Vol. 111, Issue 8 https://doi.org/10.1016/j.ultramic.2011.02.004	journal	July 2011
Estimation of dislocation density from precession electron diffraction data using the Nye tensor Leff, A. C.; Weinberger, C. R.; Taheri, M. L. Ultramicroscopy, Vol. 153, p. 9-21 https://doi.org/10.1016/j.ultramic.2015.02.002	journal	June 2015
Ultra-large-scale phase-field simulation study of ideal grain growth Miyoshi, Eisuke; Takaki, Tomohiro; Ohno, Munekazu npj Computational Materials, Vol. 3, Issue 1 https://doi.org/10.1038/s41524-017-0029-8	journal	July 2017
A fast serial algorithm for the finite temperature quenched Potts model Hassold, G. N.; Holm, Elizabeth A. Computers in Physics, Vol. 7, Issue 1 https://doi.org/10.1063/1.168481	journal	January 1993
Suppression of grain growth in nanocrystalline Bi2Te3 through oxide particle dispersions Humphry-Baker, Samuel A.; Schuh, Christopher A. Journal of Applied Physics, Vol. 116, Issue 17 https://doi.org/10.1063/1.4901235	journal	November 2014
Implementation and verification of a microstructure-based capability for modeling microcrack nucleation in LSHR at room temperature Cerrone, Albert; Stein, Clayton; Pokharel, Reeju Modelling and Simulation in Materials Science and Engineering, Vol. 23, Issue 3 https://doi.org/10.1088/0965-0393/23/3/035006	journal	March 2015
3D microstructural evolution of primary recrystallization and grain growth in cold rolled single-phase aluminum alloys Adam, Khaled; Zöllner, Dana; Field, David P. Modelling and Simulation in Materials Science and Engineering, Vol. 26, Issue 3 https://doi.org/10.1088/1361-651X/aaa146	journal	February 2018
Modeling and simulation of dynamic recrystallization for Inconel 718 in the presence of δ phase particles using a developed cellular automaton model Zhang, Fuxiang; Liu, Dong; Yang, Yanhui Modelling and Simulation in Materials Science and Engineering, Vol. 27, Issue 3 https://doi.org/10.1088/1361-651X/aafc18	journal	February 2019
Particle-assisted abnormal grain growth Holm, E. A.; Hoffmann, T. D.; Rollett, A. D. IOP Conference Series: Materials Science and Engineering, Vol. 89 https://doi.org/10.1088/1757-899X/89/1/012005	journal	August 2015
About quantitative EBSD analysis of deformation and recovery substructures in pure Tantalum Moussa, C.; Bernacki, M.; Besnard, R. IOP Conference Series: Materials Science and Engineering, Vol. 89 https://doi.org/10.1088/1757-899X/89/1/012038	journal	August 2015
Kinetics of ordering in two dimensions. I. Model systems Safran, S. A.; Sahni, Paramdeep S.; Grest, Gary S. Physical Review B, Vol. 28, Issue 5 https://doi.org/10.1103/PhysRevB.28.2693	journal	September 1983
Kinetics of ordering in two dimensions. II. Quenched systems Sahni, Paramdeep S.; Srolovitz, David J.; Grest, Gary S. Physical Review B, Vol. 28, Issue 5 https://doi.org/10.1103/PhysRevB.28.2705	journal	September 1983
Three-dimensional plastic response in polycrystalline copper via near-field high-energy X-ray diffraction microscopy Li, S. F.; Lind, J.; Hefferan, C. M. Journal of Applied Crystallography, Vol. 45, Issue 6 https://doi.org/10.1107/S0021889812039519	journal	October 2012
Nucleation and growth during recrystallization Rios, Paulo Rangel; Siciliano Jr, Fulvio; Sandim, Hugo Ricardo Zschommler Materials Research, Vol. 8, Issue 3 https://doi.org/10.1590/S1516-14392005000300002	journal	September 2005
U-Mo fuels handbook. Version 1.0 Rest, Jeffrey; Kim, Yeon Soo; Hofman, Gerard L. https://doi.org/10.2172/1335129	report	June 2006
Five Decades of the Zener Equation. Manohar, P. A.; Ferry, M.; Chandra, T. ISIJ International, Vol. 38, Issue 9 https://doi.org/10.2355/isijinternational.38.913	journal	January 1998

Similar Records

Recrystallization and Grain Growth Simulations for Multiple-Pass Rolling and Annealing of U-10Mo

Journal Article · Thu Dec 05 23:00:00 EST 2019 · Metallurgical and Materials Transactions. A, Physical Metallurgy and Materials Science · OSTI ID:1808562

Microstructure-process relationships in monolithic U-10Mo fuel foil single-pass rolling: A parametric simulation study

Journal Article · Thu Jan 12 23:00:00 EST 2023 · Journal of Nuclear Materials · OSTI ID:1924500

Related Subjects

36 MATERIALS SCIENCE
Grain Growth
IMCE
Recrystallization
simulation

An Integrated Simulation of Multiple-Pass U-10Mo Alloy Hot Rolling and Static Recrystallization

Citation Formats

References (81)

Similar Records

Related Subjects