2016 Multiphase Flow Science Workshop

2016 NETL Workshop on Multiphase Flow Science

Tuesday, August 9, 2016 – Waterfront Place Hotel, Morgantown, WV

Registration

Break and Posters/Demos

Lunch and Posters/Demos

  • Computational and Experimental Study of Gas-Liquid Fluid Flows through Flow Cells
    G. Ahmadi1,2, W. Zhang1, A. Abdollahi Mofakham2,K. Jarvis1, D. Crandall1, G. Bromhal1, 1National Energy Technology Laboratory, 2Department of Mechanical and Aeronautical Engineering, Clarkson University
  • Three Dimensional VOF Simulations for Wetting of Corrugated Sheet
    Rajesh K. Singh1, 2 and Janine E. Galvin1, 1National Energy Technology Laboratory, 2Oak Ridge Institute for Science and Education
  • Computational Modeling of Fluid and Particle Flows in Rock Fractures
    Goodarz Ahmadi1,2,3, Amir Abdollahi Mofakham1, Matt Stadelman2,3, Kevin Shanley3,4, D. Crandall2, 1Department of Mechanical and Aeronautical Engineering, Clarkson University, 2National Energy Technology Laboratory,3Oak Ridge Institute for Science Education, 4Division of Engineering Programs, State University of New York at New Paltz

Break and Posters/Demos

  • Recent Insights on Disperse Multiphase Turbulence Modeling
    Jesse Capecelatro1, Olivier Desjardins2, and Rodney Fox3, 1University of Michigan, 2Cornell University, 3Iowa State University

 

Wednesday, August 10, 2016 – Waterfront Place Hotel, Morgantown, WV

Reconvene and Introduction

Break and Posters/Demos

  • Enhancement of MFiX DEM for Industry-Relevant Flows
    Peiyuan Liu1, Hariswaran Sitaraman2, Timothy Brown3, William D. Fullmer1, Ray Grout2, Thomas Hauser3 and Christine M. Hrenya1, 1Department of Chemical and Biological Engineering, University of Colorado, 2Computational Sciences Center, National Renewable Energy Laboratory, 3Research Computing, University of Colorado

Lunch and Posters/Demos

 

Meeting Wrap-up and Adjourn

Posters

  • MFIX-DEM Phi: Performance and Capability Improvements Towards Industrial Grade Open-Source DEM Simulation Framework with Integrated and Easy-To-Use Uncertainty Quantification Analysis
    Shaohua Chen1, Manogna Adepu1, O. Mor1, N. Ellingwood4 , Aytekin Gel2, Heather Emady1, Yang Jiao1, Charles Tong3, Jonathan Hu4, 1School for Engineering of Matter, Transport and Energy, Arizona State University, 2School of Computing, Informatics and Decision Systems Engineering, Arizona State University, 3Lawrence Livermore National Laboratory, 4Sandia National Laboratory

2016 NETL MFS Workshop Gallery

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