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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2016. Predictive Theoretical and Computational Approaches for Additive Manufacturing: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/23646.
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PREDICTIVE THEORETICAL AND
COMPUTATIONAL APPROACHES FOR
ADDITIVE MANUFACTURING

Proceedings of a Workshop

Michelle Schwalbe, Rapporteur

U.S. National Committee on Theoretical and Applied Mechanics
Board on International Scientific Organizations
Policy and Global Affairs

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THE NATIONAL ACADEMIES PRESS
Washington, DC
www.nap.edu

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2016. Predictive Theoretical and Computational Approaches for Additive Manufacturing: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/23646.
×

THE NATIONAL ACADEMIES PRESS 500 Fifth Street, NW Washington, DC 20001

This workshop was supported by Grant No. CMMI-1545752 from the National Science Foundation. The Proceedings of a Workshop was supported by Grant No. 60NANB15D281 from the National Institute of Standards and Technology and Grant No. DE-AC04-94AL85000 from Sandia National Laboratories. Any opinions expressed in this publication are those of the rapporteur and do not necessarily reflect the views of any organization or agency that provided support for the project.

International Standard Book Number 13: 978-0-309-44975-5
International Standard Book Number 10: 0-309-44975-8
Digital Object Identifier: 10.17226/23646

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Suggested citation: National Academies of Sciences, Engineering, and Medicine. 2016. Predictive Theoretical and Computational Approaches for Additive Manufacturing: Proceedings of a Workshop. Washington, DC: the National Academies Press. doi: 10.17226/23646.

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2016. Predictive Theoretical and Computational Approaches for Additive Manufacturing: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/23646.
×
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2016. Predictive Theoretical and Computational Approaches for Additive Manufacturing: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/23646.
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Reports document the evidence-based consensus of an authoring committee of experts. Reports typically include findings, conclusions, and recommendations based on information gathered by the committee and committee deliberations. Reports are peer reviewed and are approved by the National Academies of Sciences, Engineering, and Medicine.

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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2016. Predictive Theoretical and Computational Approaches for Additive Manufacturing: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/23646.
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PLANNING COMMITTEE ON PREDICTIVE THEORETICAL AND COMPUTATIONAL APPROACHES FOR ADDITIVE MANUFACTURING

WING KAM LIU (Chair), Northwestern University

ELIZABETH CANTWELL, Arizona State University

ANTHONY DeCARMINE, Oxford Performance Materials

SLADE GARDNER, Lockheed Martin Space Systems Company

THOMAS KURFESS, Georgia Institute of Technology

EDWARD MORRIS, National Center for Defense Manufacturing and Machining

Staff

ANA M. FERRERAS, Senior Program Officer

PAMELA GAMBLE, Administrative Associate

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2016. Predictive Theoretical and Computational Approaches for Additive Manufacturing: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/23646.
×

U.S. NATIONAL COMMITTEE FOR THEORETICAL AND APPLIED MECHANICS

Officers

WING KAM LIU (Chair), Northwestern University

GARETH H. MCKINLEY (Vice Chair), Massachusetts Institute of Technology

LINDA P. FRANZONI (Secretary), Duke University

STELIOS KYRIAKIDES (Past Chair), NAE,1 University of Texas at Austin

Members-at-Large

JOHN DABIRI, Stanford University

ANN KARAGOZIAN, University of California, Los Angeles

CHAD LANDIS, The University of Texas at Austin

THOMAS J. PENCE, Michigan State University

Society Representatives

ACOUSTICAL SOCIETY OF AMERICA (ASA), Linda Franzoni, Duke University

AMERICAN ACADEMY OF MECHANICS (AAM), Chad Landis, The University of Texas at Austin

AMERICAN INSTITUTE OF CHEMICAL ENGINEERS (AIChE), Paul Steen, Cornell University

AMERICAN MATHEMATICAL SOCIETY (AMS), Eitan Tadmor, University of Maryland, College Park

AMERICAN PHYSICAL SOCIETY (APS), Beverley McKeon, California Institute of Technology

AMERICAN SOCIETY OF CIVIL ENGINEERS (ASCE), Roger Ghanem, University of Southern California

AMERICAN SOCIETY OF MECHANICAL ENGINEERS (ASME), Nadine Aubry, NAE, Northeastern University

ASTM INTERNATIONAL (formerly American Society for Testing and Materials), Steven Daniewicz, Mississippi State University

___________________

1 The National Academy of Engineering.

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2016. Predictive Theoretical and Computational Approaches for Additive Manufacturing: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/23646.
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SOCIETY FOR EXPERIMENTAL MECHANICS (SEM), Wendy Crone, University of Wisconsin, Madison

SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS (SIAM), Qiang Du, Columbia University

SOCIETY OF ENGINEERING SCIENCE (SES), Horacio D. Espinosa, Northwestern University

SOCIETY OF ENGINEERING SCIENCE (SES), Kyung-Suk Kim, Brown University

SOCIETY OF RHEOLOGY (SOR), Eric S.G. Shaqfeh, NAE, Stanford University

UNITED STATES ASSOCIATION FOR COMPUTATIONAL MECHANICS (USACM), Tarek Zohdi, University of California, Berkeley

Ex Officio Members

JIANMIN QU, Tufts University

Staff

ANA M. FERRERAS, Senior Program Officer

PAMELA GAMBLE, Administrative Associate

Page viii Cite
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2016. Predictive Theoretical and Computational Approaches for Additive Manufacturing: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/23646.
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BOARD ON INTERNATIONAL SCIENTIFIC ORGANIZATIONS

Members

MICHAEL CLEGG (Chair), NAS,1 University of California, Irvine

PATRICK SCOTT (Vice Chair), Los Alamos National Laboratory Foundation

ALLAN C. ASHWORTH, North Dakota State University

ASMERET ASEFAW BERHE, University of California, Merced

MELODY BROWN BURKINS, Dartmouth College

RONALD GRAHAM, NAS, University of California, San Diego

MARVIN HACKERT, University of Texas at Austin

KENNETH KELLERMANN, NAS, National Radio Astronomy Observatory

WING KAM LIU, Northwestern University

C. BRADLEY MOORE, NAS, University of California, Berkeley

KENNEDY REED, Lawrence Livermore National Laboratory

DONALD SAARI, NAS, University of California, Irvine

JEFFREY ZACKS, Washington University in St. Louis

Ex Officio Members

JOHN HILDEBRAND, NAS, University of Arizona, Tucson

MICHAEL CLEGG (Chair), NAS,2 University of California, Irvine

Staff

KATHIE BAILEY, Director

ESTER SZTEIN, Assistant Director and Senior Program Officer

ANA M. FERRERAS, Senior Program Officer

LOIS PETERSON KENT, Senior Program Officer

PAMELA GAMBLE, Administrative Associate

CHELSEA BOCK, Program Coordinator

___________________

1 The National Academy of Sciences.

2 The National Academy of Sciences.

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2016. Predictive Theoretical and Computational Approaches for Additive Manufacturing: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/23646.
×

Acknowledgments

We would like to thank the following staff members for their contributions to this report: Ana Ferreras, Senior Program Officer; Michelle K. Schwalbe, Senior Program Officer; Aqila A. Coulhurst, Associate Program Officer; and Linda Casola, Staff Editor.

REVIEWERS

This report has been reviewed in draft form by individuals chosen for their diverse perspectives and technical expertise, in accordance with procedures approved by the National Academies of Sciences, Engineering, and Medicine’s Report Review Committee. The purpose of this independent review is to provide candid and critical comments that will assist the institution in making its published report as sound as possible and to ensure that the report meets institutional standards for quality and objectivity. The review comments and draft manuscript remain confidential to protect the integrity of the process.

We wish to thank the following individuals for their review of this report: Michael Gorelik, Federal Aviation Administration; Lonnie Love, Oak Ridge National Laboratory; Amit Misra, University of Michigan; Edwin Schwalbach, Air Force Research Laboratory; and Tarek Zohdi, University of California, Berkeley.

Although the reviewers listed above have provided many constructive comments and suggestions, they were not asked to endorse the content of

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2016. Predictive Theoretical and Computational Approaches for Additive Manufacturing: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/23646.
×

the report, nor did they see the final draft before its release. The review of this report was overseen by Robert Schafrik (Retired), General Electric Aviation. Appointed by the National Academies, he was responsible for making certain that an independent examination of this report was carried out in accordance with institutional procedures and that all review comments were carefully considered. Responsibility for the final content of this report rests entirely with the rapporteur and the institution.

Wing Kam Liu
Chair, Planning Committee

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2016. Predictive Theoretical and Computational Approaches for Additive Manufacturing: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/23646.
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2016. Predictive Theoretical and Computational Approaches for Additive Manufacturing: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/23646.
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2016. Predictive Theoretical and Computational Approaches for Additive Manufacturing: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/23646.
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2016. Predictive Theoretical and Computational Approaches for Additive Manufacturing: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/23646.
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2016. Predictive Theoretical and Computational Approaches for Additive Manufacturing: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/23646.
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2016. Predictive Theoretical and Computational Approaches for Additive Manufacturing: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/23646.
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2016. Predictive Theoretical and Computational Approaches for Additive Manufacturing: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/23646.
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Page viii Cite
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2016. Predictive Theoretical and Computational Approaches for Additive Manufacturing: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/23646.
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2016. Predictive Theoretical and Computational Approaches for Additive Manufacturing: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/23646.
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2016. Predictive Theoretical and Computational Approaches for Additive Manufacturing: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/23646.
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2016. Predictive Theoretical and Computational Approaches for Additive Manufacturing: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/23646.
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2016. Predictive Theoretical and Computational Approaches for Additive Manufacturing: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/23646.
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Page xiii Cite
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2016. Predictive Theoretical and Computational Approaches for Additive Manufacturing: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/23646.
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2016. Predictive Theoretical and Computational Approaches for Additive Manufacturing: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/23646.
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Additive manufacturing (AM) methods have great potential for promoting transformative research in many fields across the vast spectrum of engineering and materials science. AM is one of the leading forms of advanced manufacturing which enables direct computer-aided design (CAD) to part production without part-specific tooling. In October 2015 the National Academies of Sciences, Engineering, and Medicine convened a workshop of experts from diverse communities to examine predictive theoretical and computational approaches for various AM technologies. While experimental workshops in AM have been held in the past, this workshop uniquely focused on theoretical and computational approaches and involved areas such as simulation-based engineering and science, integrated computational materials engineering, mechanics, materials science, manufacturing processes, and other specialized areas. This publication summarizes the presentations and discussions from the workshop.

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