ProgramMaster Logo
Conference Tools for 2025 TMS Annual Meeting & Exhibition
Register as a New User
Submit An Abstract
Propose A Symposium
Presenter/Author Tools
Organizer/Editor Tools
About this Symposium
Meeting 2025 TMS Annual Meeting & Exhibition
Symposium Additive Manufacturing Modeling, Simulation and Machine Learning
Sponsorship TMS Materials Processing and Manufacturing Division
TMS: Additive Manufacturing Committee
TMS: Integrated Computational Materials Engineering Committee
Organizer(s) Jing Zhang, Purdue University in Indianapolis
Li Ma, Johns Hopkins University Applied Physics Laboratory
Charles R. Fisher, Naval Surface Warfare Center - Carderock
Brandon A. McWilliams, US Army Research Laboratory
Yeon-Gil Jung, Changwon National University
Scope This symposium will provide an excellent platform to exchange the latest knowledge in additive manufacturing (AM) modeling, simulation, artificial intelligence and machine learning. Despite extensive progress in AM field, there are still many challenges in predictive theoretical and computational approaches that hinder the advance of AM technologies. The symposium is interested in receiving contributions in the following non-exclusive areas: In particular, the following topics, but not limited to, are of interest:

1.AM process modeling, monitoring and defect detection
2.Modeling of microstructure evolution, phase transformation, and defect formation in AM parts
3.AM materials development using the Integrated computational materials engineering (ICME) approach
4.Modeling of residual stress, distortion, plasticity/damage, creep, and fatigue in AM parts
5.Modeling behaviors of AM materials in various environments (e.g., corrosion, high temperature, etc.)
6.Computational modeling of process-structure-property-performance relationships for qualification of additive manufacturing
7.Artificial intelligence (AI), machine learning (ML) and data science applications to AM
8.Calibration and validation data sets relevant to models, uncertainty quantification
9.Efficient computational methods using reduced-order models or fast emulators for process control
10.Multiscale/multiphysics modeling strategies, including any or all of the scales associated with the spatial, temporal, and/or material domains

Abstracts Due 07/01/2024
Proceedings Plan Planned: Supplemental Proceedings volume
. . . you are welcome to do so. Just click on the button. Note: To submit an abstract, you must be registered and logged into the system.

Questions about ProgramMaster? Contact