The HPC4Manufacturing program has conducted three events. Details about each of the events are included below.
HPC4Mfg | Manufacturing Day 2018
Online Technical Colloquium, October 5, 2018
How HPC Improves Competitiveness and Reduces Energy Intensity
HPC4Mfg National Laboratory partners will talk about their projects and laboratory capabilities in a series of webinars arraigned especially for Manufacturing Day. There will be an overview of the program, talks on HPC simulation capabilities as they apply to advanced industrial problems in machine learning, computational fluids dynamics, and additive manufacturing.
Question and answer sessions will be included in the panel discussions.
Date and Time:
Friday, October 5, 2018 9:00 am, PDT
Friday, October 5, 2018 10:00 am, MDT
Friday, October 5, 2018 12:00 pm, EDT
Call-in Number: +1-415-655-0001 US TOLL (Global call-in numbers)
Event Number: 807 705 983
Event Password: HPC42018
Modeling of Powder Dynamics in Metal Additive Manufacturing 2017
On August 10-11,2017, LLNL’s Global Security Principal Directorate and the High Performance Computing for Manufacturing (HPC4Mfg) Program hosted the Modeling of Powder Dynamics in Metal Additive Manufacturing meeting in Austin, Texas.
LLNL’s Wayne King served as the meeting chair and is the leader of LLNL’s Accelerated Certification of Additively Manufactured Metals Project. He and the organizing committee united 100 participants from industry, laboratory, and academia.
Presentations from keynote and plenary lecturers focused on the following topics: needs from models for powder spreading; flowability, spreadability, and segregation; effects of particle size, particle size distribution, and particle morphology; recycle and reuse of materials, and effects of environmental conditions. Breakout sessions were held to discuss each topic and gather feedback in areas such as scientific challenges and priority research directions.
There has been an increased interest in using modeling and simulation to understand the dynamics of powder spreading for metal additive manufacturing. A meeting report prepared by the organizing committee was submitted to DOE’s Advanced Manufacturing Office.
Keynote — Effects of Particle Surface - Properties on Mechanical Behavior, and Calibration of Discrete Element Method (DEM) Models for Powder Spreading Simulations
Keynote — Discrete Element Method (DEM) Contact Models for Cohesive Particle
Keynote — Modeling Powder Spreading for Additive Manufacturin
Plenary Introduction — What is Needed from Models for Powder Spreading
Plenary Introduction — Key Parameters and Issues: Flowability, Spreadability, Stratification
Plenary Introduction — Key Parameters and Issues: Effects of Particle Size, Particle Size Distribution, and Particle Morphology
Plenary Introduction — Recycle and Re-Use of Materials
Plenary Introduction — Effects of Environmental Conditions
Supplemental Meeting WebEx Presentations
Exascale Simulation for the Design of Industrial-scale Chemical Reactors, Madhava Syamlal, National Energy Technology Laboratory — October 10, 2017
3D PBF – “A Miniaturized Solids Processing Plant in a Box” Key Aspects of Powder Handling, Bryan J. Ennis, E&G Associates, Inc. — October 17, 2017
Industry Engagement Day 2017
The HPC4Mfg Industry Engagement Day event was a great success. Nearly 100 participants convened for the two-day meeting with an agenda that included a poster session displaying the current results of existing projects, a keynote speech, and panel discussions to discuss ways to strengthen and improve the program. On the final day, participants were offered the opportunity to discuss new ideas with program managers in a one-on-one setting.
Key outcomes of the meeting included:
- Attendees learned how to make a case for HPC to their management. From virtually exploring parameter spaces in ways that are not possible in the physical world, to enabling the additive manufacturing of parts correctly on the first try, executives across the manufacturing sector are recognizing how the ability to model, simulate, and analyze data at-scale is fundamentally transforming manufacturing.
- The meeting showcased the breadth of HPC4Manufacturing projects. Through panel discussions and posters, researchers presented their results on a wide range of applications, including optimizing blast furnaces for lowering coke use, designing synthetic jet actuators for ultra-efficient trucks, improving reactor designs for natural gas, and enhancing the drying process for paper making. (Presentations and posters are available below.)
- Attendees engaged one-on-one with experts from the national laboratories to learn how HPC could be used to address challenges specific to their company or industry sector.
- Attendees provided feedback on the technical and human capabilities needed to increase the impact of the program, from next-generation software capabilities to greater expertise in modeling and simulation.
Chad Evans (Panel Chair), Executive Vice President of U.S. Council of Competitiveness Mario Longhi, President & Chief Executive Officer of United States Steel Corporation Richard Arthur, Director of Advanced Computing, GE Research Barbara Helland, Office of Advanced Scientific Computing Research Director
Peter Nugent (Panel Co-Chair), Lawrence Berkeley National Laboratory Jeff Roberts (Panel Co-Chair) Lawrence Livermore National Laboratory Thomas W. Wideman, Actasys, Inc Wayne E. King, Lawrence Livermore National Laboratory David Turpin, Agenda2020 Prasad S. Apte, Harper International
Keynote – A Curious Case History from Things to Bits
Executive Panel Session - The Global State of Computing in Manufacturing
- Chad Evans (Panel Chair), Executive Vice President of U.S. Council of Competitiveness
- Mario Longhi President & Chief Executive Officer of United States Steel Corporation
- Barbara Helland Office of Advanced Scientific Computing Research Director
Advanced Manufacturing Office Capabilities Enable Innovation in Manufacturing
- Mark Johnson Advanced Manufacturing Office, Energy Efficiency & Renewable Energy at the U.S. Department of Energy
Introducing the HPC4Mfg Program
Fossil Energy Applications for HPC
Panel Session – Impact of HPC4Mfg Projects
Panel Session – Challenges to Industry HPC Adoption
Lessons Learned for Solicitation Success
Opportunities to Engage/Summary
Srikanth Allu Oak Ridge National Laboratory
Development of Mathematical Model and Simulation for the High Capacity Production of Carbon Fiber
Sylvie Aubry Lawrence Livermore National Laboratory
Integrated Computational Materials Engineering Tools for Optimizing Strength of Forged Al-Li Turbine Blades for Aircraft Engines
Deborah Bard Lawrence Berkeley National Laboratory
Accelerating Industrial Application of Energy-Efficient Chemical Separation
Victor Beck Lawrence Livermore National Laboratory
Computer Aided Drying Process Engineering using High Performance Computing
Vic Castillo Lawrence Livermore National Laboratory
Development of Reduced Glass Furnace Model to Optimize Process Operation
Marcus Day Lawrence Berkeley National Laboratory
Improving Gas Reactor Design with Complex Non-Standard Reaction Mechanisms in a Reactive Flow Model
Zhili Feng Oak Ridge National Laboratory
High Performance Computing Tools to Advancing Materials Joining Technology
Aaron Fisher Lawrence Livermore National Laboratory
Utilizing Simulations to Guide Furnace Designs for the E-Iron Nugget Process
Yue Hao Lawrence Livermore National Laboratory
Development of an Integrated Modeling Framework for Simulating Water Removal at the Press Section in Paper Making
Ryne Johnston Oak Ridge National Laboratory
Catalytic Pulping of Wood
Wayne King Lawrence Livermore National Laboratory
Lowering the Energy Cost of Titanium Parts through Microstructural Modeling and Control in Laser-Powder Bed Additive Manufacturing
Balasubramianiam (Rad) Radhakrishnan Oak Ridge National Laboratory
Integrated Predictive Tools for Customizing Microstructure and Material Properties of Additively Manufactured Aerospace Components
Adrian Sabau Oak Ridge National Laboratory
Process Maps for Tailoring Microstructure in Laser Powder Bed Fusion Additive Manufacturing
Ramanan Sankaran Oak Ridge National Laboratory - Poster 2
Level-set Modeling Simulations of Chemical Vapor Infiltration for Ceramic Matrix Composites Manufacturing; Large Eddy Simulations of a Fully Integrated Aircraft Engine Combustor and High Pressure Vane
HPC4Mfg is sponsored by the Advanced Manufacturing Office of the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy