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Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2019. Data-Driven Modeling for Additive Manufacturing of Metals: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25481.
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B

Workshop Agenda

A Workshop on the Frontiers of Mechanistic Data-Driven Modeling for
Additive Manufacturing
October 24–26, 2018

Neue Materialien Fürth GmbH
Dr.-Mack-Straße 81, Technikum 1, 6th Floor
Fürth, Germany

Day 1: October 24

9:00 a.m. Welcome from the Co-Chairs

Carolin Körner, Co-Chair, Friedrich-Alexander Universität Erlangen-Nürnberg

Wing Kam Liu, Co-Chair, Northwestern University

9:20 a.m. Opening Comments from the Sponsors

R. Allen Roach, Sandia

Richard Ricker, NIST

9:40 a.m. Opening Comments from the National Academies

Michelle Schwalbe, Board on Mathematical Sciences and Analytics

Erik Svedberg, National Materials and Manufacturing Board

Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2019. Data-Driven Modeling for Additive Manufacturing of Metals: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25481.
×

SESSION 1: MEASUREMENTS AND MODELING FOR PROCESS MONITORING AND CONTROL

10:00 a.m. Introduction to Session 1

Bianca Colosimo, Politecnico di Milano

10:10 a.m. Measurement Science for Process Monitoring and Control

Jarred Heigel, National Institute of Standards and Technology

10:40 a.m. Break
11:00 a.m. Process Simulation as a Complement of Process Monitoring1

Daniel Reznik, Siemens

11:30 a.m. Lunch
12:30 p.m. Panel Discussion
  • Brief introductions and statements of research interests
  • Open discussion, led by Bianca Colosimo
Panelists:

Bianca Colosimo, Politecnico di Milano

Ben Dutton, Manufacturing Technology Centre

Jarred Heigel, National Institute of Standards and Technology

Daniel Reznik, Siemens

Kilian Wasmer, Empa

Amit Surana, United Technologies Research Center

2:00 p.m. Break

SESSION 2: DEVELOPING MODELS TO REPRESENT MICROSTRUCTURE EVOLUTION, ALLOY DESIGN, AND PART SUITABILITY

2:30 p.m. Introduction to Session 2
Lyle Levine, National Institute of Standards and Technology

___________________

1 Unable to attend.

Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2019. Data-Driven Modeling for Additive Manufacturing of Metals: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25481.
×
2:35 p.m. Measurements for Additive Manufacturing of Metals

Lyle Levine, National Institute of Standards and Technology

3:05 p.m. Break
3:30 p.m. Predicting Material State and Performance of Additively Manufactured Parts

Kyle Johnson, Sandia National Laboratories

4:00 p.m. Panel Discussion
  • Brief introductions and statements of research interests
  • Open discussion, led by Lyle Levine
Panelists:

Lyle Levine, National Institute of Standards and Technology

Eric Jägle, Max Planck Institute

Kyle Johnson, Sandia National Laboratories

Christian Leinenbach, Empa

Deniece Korzekwa, Los Alamos National Laboratory

Annett Seide, MTU Aero Engines

John Turner, Oak Ridge National Laboratory

5:30 p.m. Conclude Sessions

Day 2: October 25

9:00 a.m. Recap of Day 1; Major Themes and Overview for the Day

Session 1: Bianca Colosimo

Session 2: Lyle Levine

SESSION 3: MODELING ASPECTS OF PROCESS AND MACHINE DESIGN

9:30 a.m. Introduction to Session 3

Tahany El-Wardany, United Technologies Research Center

9:40 a.m. Current State of Commercial Powder-Bed Additive Machines—Improvements Needed to Minimize Build-to-Build Variability
Ade Makinde, General Electric Global Research Center, with support from Johannes Henrich Schleifenbaum, Fraunhofer Institute for Laser Technology, and Shoufeng Yang, KU Leuven
Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2019. Data-Driven Modeling for Additive Manufacturing of Metals: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25481.
×
10:10 a.m. Break
10:30 a.m. Modeling Challenges and Opportunities at the Part Level
Jian Cao, Northwestern University, with support from Ranadip Acharya, United Technologies Research Center, and Mustafa Megahed, ESI Group
11:00 a.m. Panel Discussion
  • Brief introductions and statements of research interests
  • Open discussion, led by Tahany El-Wardany
Panelists:

Tahany El-Wardany, United Technologies Research Center

Ranadip Acharya, United Technologies Research Center

Jian Cao, Northwestern University

Ade Makinde, General Electric Global Research Center

Mustafa Megahed, ESI Group

Johannes Henrich Schleifenbaum, Fraunhofer Institute for Laser Technology

Michael Schmidt, Friedrich-Alexander Universität Erlangen-Nürnberg

Shoufeng Yang, KU Leuven

12:30 p.m. Lunch

SESSION 4: ACCELERATING PRODUCT AND PROCESS QUALIFICATION AND CERTIFICATION

1:30 p.m. Introduction to Session 4

Paolo Gennaro, GF Precicast Additive SA

1:35 p.m. Process Qualification and Technological Validation, from Casting to Additive

Paolo Gennaro, GF Precicast Additive SA

2:05 p.m. Modeling and Simulation

Michel Delanaye,2 GeonX

2:35 p.m. Break

___________________

2 Unable to attend.

Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2019. Data-Driven Modeling for Additive Manufacturing of Metals: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25481.
×
3:00 p.m. Panel Discussion
  • Brief introductions and statements of research interests
  • Open discussion, led by Paolo Gennaro
Panelists:

Paolo Gennaro, GF Precicast Additive SA

Vincent Paquit, Oak Ridge National Laboratory

Jens Telgkamp, Airbus Operations GmbH

Michel Delanaye, GeonX

David Teter, Los Alamos National Laboratory

Richard Ricker, National Institute of Standards and Technology

5:00 p.m. Conclude Presentations and Discussions

Day 3: October 26

9:00 a.m. Recap of Day 2; Major Themes and Overview for the Day
Session 3: Tahany El-Wardany
Session 4: Paolo Gennaro
9:30 a.m. Breakout Groups
  • Measurements and Modeling for Process Monitoring and Control
  • Developing Models to Represent Microstructure Evolution, Alloy Design, and Part Suitability
  • Modeling Aspects of Process and Machine Design
  • Accelerating Product and Process Qualification and Certification
12:00 p.m. Lunch (with Breakout Groups)
1:00 p.m. Breakout Groups Report Back
2:30 p.m. Final Comments from Co-Chairs and Sponsors

Carolin Körner, Co-Chair, Friedrich-Alexander Universität Erlangen-Nürnberg

Wing Kam Liu, Co-Chair, Northwestern University

Sponsors’ Representatives

3:00 p.m. Adjourn Workshop
Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2019. Data-Driven Modeling for Additive Manufacturing of Metals: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25481.
×
Page 61
Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2019. Data-Driven Modeling for Additive Manufacturing of Metals: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25481.
×
Page 62
Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2019. Data-Driven Modeling for Additive Manufacturing of Metals: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25481.
×
Page 63
Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2019. Data-Driven Modeling for Additive Manufacturing of Metals: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25481.
×
Page 64
Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2019. Data-Driven Modeling for Additive Manufacturing of Metals: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25481.
×
Page 65
Next: Appendix C: Workshop Statement of Task »
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Additive manufacturing (AM) is the process in which a three-dimensional object is built by adding subsequent layers of materials. AM enables novel material compositions and shapes, often without the need for specialized tooling. This technology has the potential to revolutionize how mechanical parts are created, tested, and certified. However, successful real-time AM design requires the integration of complex systems and often necessitates expertise across domains. Simulation-based design approaches, such as those applied in engineering product design and material design, have the potential to improve AM predictive modeling capabilities, particularly when combined with existing knowledge of the underlying mechanics. These predictive models have the potential to reduce the cost of and time for concept-to-final-product development and can be used to supplement experimental tests.

The National Academies convened a workshop on October 24-26, 2018 to discuss the frontiers of mechanistic data-driven modeling for AM of metals. Topics of discussion included measuring and modeling process monitoring and control, developing models to represent microstructure evolution, alloy design, and part suitability, modeling phases of process and machine design, and accelerating product and process qualification and certification. These topics then led to the assessment of short-, immediate-, and long-term challenges in AM. This publication summarizes the presentations and discussions from the workshop.

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