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About this Symposium
Meeting 2020 TMS Annual Meeting & Exhibition
Symposium Additive Manufacturing: ICME Gap Analysis
Sponsorship TMS Materials Processing and Manufacturing Division
TMS: Additive Manufacturing Committee
TMS: Integrated Computational Materials Engineering Committee
Organizer(s) Dongwon Shin, Oak Ridge National Laboratory
Richard A. Otis, Jet Propulsion Laboratory
Xin Sun, Oak Ridge National Laboratory
Greta Lindwall, KTH Royal Institute of Technology
Mei Li, Ford Motor Company
David U. Furrer, Pratt & Whitney
Scope Integrated computational materials engineering (ICME) has been successfully employed on conventional manufacturing processes to predict process-structure-property relationships. However, explicit gaps exist between the properties/defects of additively manufactured components and predicted from the state-of-the-art ICME tools. The focus of this symposium is evaluating the performance of existing ICME models, databases, simulation tools, and general infrastructure development to identify their applicability and gaps that exist for additive manufacturing and to develop future research roadmap.

Presentations in this symposium will include the following topics:
● An assessment on the accuracy/maturity of current ICME models for AM
● New approaches to bridge the currently identified ICME gaps for AM
● High-throughput experiments to support database development for AM
● Design of experiments to promote physics-based model development for AM
● Assessments and uses of current high-throughput ICME tools for AM
● Identification of gaps at all levels of the integration for AM

Abstracts should be submitted to symposium by invitation only.
Abstracts Due 07/15/2019
Proceedings Plan Planned: Supplemental Proceedings volume
PRESENTATIONS APPROVED FOR THIS SYMPOSIUM INCLUDE

CALPHAD-based ICME Design for Additive Manufacturing: Successes and Challenges
Challenges in Integration and Validation of a Coupled FEM and Phase Field Approach for Modeling Additive Manufacturing
Challenges in Modeling Microstructure Evolution during Additive Manufacturing Based on Phase-field Method
Challenges to predict the microstructure and properties of metallic AM components
Efficient Mechanistic Modeling of Additive Manufacturing (AM) Processes
ICME and Additive Manufacturing Research in NSF’s Advanced Manufacturing Program
Making metal additive manufacturing practical – what’s missing?
Overview of DOE-BES Research and Strategic Planning
The Future of Additive Manufacturing, a Vision for NASA’s Jet Propulsion Laboratory
Utilization of Non-metallic Inclusion and Optimization of Alloy Compositions for AM Process


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