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Meeting 2024 TMS Annual Meeting & Exhibition
Symposium Additive Manufacturing for Energy Applications VI
Organizer(s) Isabella J. Van Rooyen, Pacific Northwest National Laboratory
Subhashish Meher, Idaho National Laboratory
Xiaoyuan Lou, Purdue University
Kumar Sridharan, University of Wisconsin-Madison
Michael Kirka, Oak Ridge National Laboratory
Yi Xie, Purdue University
Mohan Sai Kiran Kumar Yadav Nartu, Pacific Northwest National Laboratory (PNNL)
Scope Additive manufacturing (AM) applications’ space within energy sectors have grown significantly over recent years due to the recognized advantages and benefits for supply chain development, economic and performance enhancements. However, an accelerated pace for demonstration and full adoption to market in all energy sectors are still needed and we can learn from the different energy sectors. Additionally, new material development enabled by advanced manufacturing techniques, received more attention, due to the higher needs and expansion of materials in extreme environments. Nowadays, research and development are not enough, and a clear lifecycle path needs to be considered and implemented. Furthermore, additive manufacturing of more complex composite materials, ceramics, and refractories, are not fully considered although part of the current design portfolio. Each material type and manufacturing process, provides both unique opportunities and challenges, that we as a community needs to address.

This symposium aims to provide practical examples and newest data on relevant topics to accelerate qualification and adoption to market in various energy sectors. This symposium will integrate invited and contributed talks on the use of AM in various energy industries and includes the following topics based on experimental and computational approaches:
• Material data in extreme energy environments (e.g., high-temperature mechanical testing, creep, creep-fatigue, wear, irradiation behavior, material aging, oxidation, corrosion)
• Model-based qualification/acceptance protocols for high-temperature energy systems
• Examples for accelerated AM adoption through machine learning
• Design, process, and material modeling to support rapid qualification
• Functionally graded and multi-material/multi-functional structures
• Sensor applications in energy systems
• Non-destructive evaluation: in-situ and post fabrication
• Hybrid manufacturing (integration of different processes, feedstock forms, materials, etc.)
• Additive cladding and repair for energy systems

Abstracts Due 07/01/2023
Proceedings Plan Undecided
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