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High Performance Computation-based Phase Field Simulation of Metal Layer Retraction Zirui Mao (Postdoc), Michael J. Demkowicz (supervisor) Department of Materials Science and Engineering, TAMU HPRC, TAMU Friday, November 6, 2020 Zirui Mao


  1. High Performance Computation-based Phase Field Simulation of Metal Layer Retraction Zirui Mao (Postdoc), Michael J. Demkowicz (supervisor) Department of Materials Science and Engineering, TAMU HPRC, TAMU Friday, November 6, 2020 Zirui Mao & Michael J. Demkowicz 2020/11/6 1 HPC-based phase field simulation of metal layer retraction

  2. Content •2D simulation of metal layer retraction • Annealing + retracting • Retracting + breaking • Layers jointing •3D simulation of metal layer retraction • Influence of surface perturbation on layer retraction • Influence of surface perturbation on cylinder evolution Zirui Mao & Michael J. Demkowicz 2020/11/6 2 HPC-based phase field simulation of metal layer retraction

  3. 2D simulation of layer retraction • Proposed a simple inferring approach of constant mobility in the Cahn-Hilliard equation by carrying out a series of 2D phase-field modeling of metal layer retraction ( annealing + retracting ). Numerical model: Model size: ranges from 40,000 to 4M nodes. Configuration of HPC machine: Cluster : Ada (TAMU HPRC) CPUs : 20-core (GPU-enabled) Memory : 54G Memory Software : Matlab (not parallel) Run time : ranges from 1~40 days. Zirui Mao & Michael J. Demkowicz 2020/11/6 3 HPC-based phase field simulation of metal layer retraction

  4. 2D simulation of layer retraction • Proposed a simple inferring approach of composition-dependent mobility in the Cahn-Hilliard equation by carrying out a series of 2D phase-field modeling of metal layer retraction ( retracting+breaking ) Numerical model: animation Model size: 100,000~1M nodes. Configuration of HPC machine: Cluster : Terra (TAMU HPRC) CPUs : 280-core Memory : 54G Memory Software : Moose & Paraview Run time : 1~14 days. Zirui Mao & Michael J. Demkowicz 2020/11/6 4 HPC-based phase field simulation of metal layer retraction

  5. 2D simulation of layer retraction • Simulated the layers jointing process during processing of material via 2D phase-field modeling. animation Configuration of HPC machine: Cluster : Terra (TAMU HPRC) CPUs : 140-core Memory : 54G Memory Software : Moose & Paraview Run time : 10 hours. Numerical model: Mesh resolution: 80,000 nodes. Zirui Mao & Michael J. Demkowicz 2020/11/6 5 HPC-based phase field simulation of metal layer retraction

  6. 3D simulation of layer retraction • Investigated the influence of surface perturbation on the retracting process of metal layer by performing 3D phase-field modeling (retracting&breaking) ~4M Configuration of HPC nodes. machine: Cluster : Terra (TAMU HPRC) CPUs : 280-core Memory : 108 G Memory Software : Moose & Paraview Run time : ~6 days. Zirui Mao & Michael J. Demkowicz 2020/11/6 6 HPC-based phase field simulation of metal layer retraction

  7. 3D simulation of cylinder’s break-up • Studied the retraction of cylinders & the ‘Plateau-Rayleigh instability’ of disturbed infinitely long cylinders via 3D phase-field modeling. ~1M nodes. Configuration of HPC machine: Cluster : Terra (TAMU HPRC) CPUs : 280-core Memory : 54 G Memory Software : Moose & Paraview Run time : 3~14 days. Zirui Mao & Michael J. Demkowicz 2020/11/6 7 HPC-based phase field simulation of metal layer retraction

  8. Acknowledgements • We thanks for the financial support from the Department of Energy under the grant award number of DE-SC0018892. • We also thanks for the great technical support from HRPC, TAMU for the heavy-load high performance computation. Zirui Mao & Michael J. Demkowicz 2020/11/6 8 HPC-based phase field simulation of metal layer retraction

  9. Thanks for your attention! Please feel free to contact me per any questions: maozr@tamu.edu Zirui Mao & Michael J. Demkowicz 2020/11/6 9 HPC-based phase field simulation of metal layer retraction

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