ExaCA: A performance portable exascale cellular automata application for alloy solidification modeling

[1]  J. Fattebert,et al.  An OpenMP GPU-offload implementation of a non-equilibrium solidification cellular automata model for additive manufacturing , 2023, Comput. Phys. Commun..

[2]  Sivasankaran Rajamanickam,et al.  Kokkos 3: Programming Model Extensions for the Exascale Era , 2022, IEEE Transactions on Parallel and Distributed Systems.

[3]  J. Belak,et al.  Understanding Uncertainty in Microstructure Evolution and Constitutive Properties in Additive Process Modeling , 2022, Metals.

[4]  J. Fattebert,et al.  ExaAM: Metal additive manufacturing simulation at the fidelity of the microstructure , 2022, Int. J. High Perform. Comput. Appl..

[5]  V. Romanova,et al.  Effects of scanning pattern on the grain structure and elastic properties of additively manufactured 316L austenitic stainless steel , 2021, Materials Science and Engineering: A.

[6]  Lifeng Zhang,et al.  Simulation of Solidification Structure During Vacuum Arc Remelting Using Cellular Automaton−Finite Element Method , 2021 .

[7]  Y. Lo,et al.  Prediction of Epitaxial Grain Growth in Single-Track Laser Melting of IN718 Using Integrated Finite Element and Cellular Automaton Approach , 2021, Materials.

[8]  J. Belak,et al.  Sensitivity of cellular automata grain structure predictions for high solidification rates , 2021 .

[9]  Shane Fogerty,et al.  Enabling particle applications for exascale computing platforms , 2021, Int. J. High Perform. Comput. Appl..

[10]  Wentao Yan,et al.  Phase-field modeling of grain evolutions in additive manufacturing from nucleation, growth, to coarsening , 2021, npj Computational Materials.

[11]  K. Teferra,et al.  Optimizing the cellular automata finite element model for additive manufacturing to simulate large microstructures , 2021, Acta Materialia.

[12]  C. Körner,et al.  A Novel Approach to Predict the Process-Induced Mechanical Behavior of Additively Manufactured Materials , 2021, Journal of Materials Engineering and Performance.

[13]  P. Voorhees,et al.  The development of grain structure during additive manufacturing , 2021 .

[14]  John A. Mitchell,et al.  Simulation of powder bed metal additive manufacturing microstructures with coupled finite difference-Monte Carlo method , 2021 .

[15]  Jianxin Zhou,et al.  GPU-Accelerated Cellular Automaton Model for Grain Growth during Directional Solidification of Nickel-Based Superalloy , 2021, Metals.

[16]  Wentao Yan,et al.  Grain growth prediction in selective electron beam melting of Ti-6Al-4V with a cellular automaton method , 2020 .

[17]  L. Levine,et al.  Sensitivity of Thermal Predictions to Uncertain Surface Tension Data in Laser Additive Manufacturing , 2020 .

[18]  Y. Shin,et al.  Integrated 2D cellular automata-phase field modeling of solidification and microstructure evolution during additive manufacturing of Ti6Al4V , 2020 .

[19]  V. Romanova,et al.  Three-dimensional analysis of grain structure and texture of additively manufactured 316L austenitic stainless steel , 2020 .

[20]  J. Belak,et al.  Sparse thermal data for cellular automata modeling of grain structure in additive manufacturing , 2020, Modelling and Simulation in Materials Science and Engineering.

[21]  M. E. Williams,et al.  Location-Specific Microstructure Characterization Within IN625 Additive Manufacturing Benchmark Test Artifacts , 2020, Integrating Materials and Manufacturing Innovation.

[22]  Fan Zhang,et al.  Outcomes and Conclusions from the 2018 AM-Bench Measurements, Challenge Problems, Modeling Submissions, and Conference , 2020, Integrating Materials and Manufacturing Innovation.

[23]  Marcus S. Day,et al.  AMReX: a framework for block-structured adaptive mesh refinement , 2019, J. Open Source Softw..

[24]  T. DebRoy,et al.  Three-dimensional grain growth during multi-layer printing of a nickel-based alloy Inconel 718 , 2019, Additive Manufacturing.

[25]  Xuxiao Li,et al.  Numerical investigation of effects of nucleation mechanisms on grain structure in metal additive manufacturing , 2018, Computational Materials Science.

[26]  Z. Wang,et al.  Investigation on evolution mechanisms of site-specific grain structures during metal additive manufacturing , 2018, Journal of Materials Processing Technology.

[27]  Matthias Markl,et al.  3D multi-layer grain structure simulation of powder bed fusion additive manufacturing , 2018, Acta Materialia.

[28]  Stephen Lin,et al.  A parallelized three-dimensional cellular automaton model for grain growth during additive manufacturing , 2018, Computational Mechanics.

[29]  V. Tikare,et al.  Simulation of metal additive manufacturing microstructures using kinetic Monte Carlo , 2017 .

[30]  R. LeSar,et al.  Modeling of Ti-W Solidification Microstructures Under Additive Manufacturing Conditions , 2017, Metallurgical and Materials Transactions A.

[31]  Baode Sun,et al.  Numerical simulation of dendritic growth in directional solidification of binary alloys using a lattice Boltzmann scheme , 2016 .

[32]  Matthias Markl,et al.  A coupled Cellular Automaton–Lattice Boltzmann model for grain structure simulation during additive manufacturing , 2016 .

[33]  Vasily Ploshikhin,et al.  Evolution of grain structure during laser additive manufacturing. Simulation by a cellular automata method , 2016 .

[34]  Amrita Basak,et al.  Epitaxy and Microstructure Evolution in Metal Additive Manufacturing , 2016 .

[35]  Y. Shin,et al.  Multi-scale modeling of solidification and microstructure development in laser keyhole welding process for austenitic stainless steel , 2015 .

[36]  Daniel Sunderland,et al.  Kokkos: Enabling manycore performance portability through polymorphic memory access patterns , 2014, J. Parallel Distributed Comput..

[37]  John F. Peters,et al.  Large-scale parallel lattice Boltzmann-cellular automaton model of two-dimensional dendritic growth , 2014, Comput. Phys. Commun..

[38]  H. Schaeben,et al.  Texture Analysis with MTEX – Free and Open Source Software Toolbox , 2010 .

[39]  S. Felicelli,et al.  Dendrite growth simulation during solidification in the LENS process , 2010 .

[40]  D. Stefanescu,et al.  A quantitative dendrite growth model and analysis of stability concepts , 2004 .

[41]  Peter D. Lee,et al.  A model of solidification microstructures in nickel-based superalloys: predicting primary dendrite spacing selection , 2003 .

[42]  C. Gandin,et al.  A three-dimensional cellular automation-finite element model for the prediction of solidification grain structures , 1999 .

[43]  Toshio Suzuki,et al.  Phase-field model for binary alloys. , 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[44]  C. Gandin,et al.  A 3D Cellular Automaton algorithm for the prediction of dendritic grain growth , 1997 .

[45]  J. Warren,et al.  Prediction of dendritic growth and microsegregation patterns in a binary alloy using the phase-field method , 1995 .

[46]  C. Gandin,et al.  A coupled finite element-cellular automaton model for the prediction of dendritic grain structures in solidification processes , 1994 .

[47]  G. Caginalp,et al.  Phase-field and sharp-interface alloy models. , 1993, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[48]  C. Gandin,et al.  Probabilistic modelling of microstructure formation in solidification processes , 1993 .

[49]  Wilfried Kurz,et al.  Theory of Microstructural Development during Rapid Solidification , 1986 .

[50]  Wing Kam Liu,et al.  A physics-informed machine learning method for predicting grain structure characteristics in directed energy deposition , 2022, Computational Materials Science.

[51]  Zhi Xie,et al.  A fast method based on GPU for solidification structure simulation of continuous casting billets , 2021, J. Comput. Sci..

[52]  Hongbiao Dong,et al.  Simulation of solidified β grain for Ti–6Al–4V during wire laser additive manufacturing by three-dimensional cellular automaton method , 2021, Modelling and Simulation in Materials Science and Engineering.

[53]  Vasily Ploshikhin,et al.  Three-dimensional modeling of the microstructure evolution during metal additive manufacturing , 2018 .

[54]  C. Körner,et al.  Simulation of grain structure evolution during powder bed based additive manufacturing , 2017 .

[55]  C. Gandin,et al.  Optimized parallel computing for cellular automaton–finite element modeling of solidification grain structures , 2013 .

[56]  S. Pan,et al.  A three-dimensional sharp interface model for the quantitative simulation of solutal dendritic growth , 2010 .