| Scope |
Computational materials (CM) tools are routinely used by researchers and engineers at low technology readiness levels (TRL) for materials and process development to inform higher-TRL advanced manufacturing activities. However, most of these capabilities require significant advances in maturation and cultural acceptance before they can be adopted into established qualification and certification (Q&C) workflows. Significant investments and resources have been devoted for many years toward the development of advanced computational tools for materials processing, manufacturing, properties, and performance predictions, but these capabilities have thus far been accepted primarily in pre-Q&C phases of product and technology development cycles. A firmer foundation in verification and validation, uncertainty quantification, ease of use, and product support is required, as is a paradigm shift in the attitude and perception of industry and research agencies toward CM technologies.
This symposium will bring together practitioners and decision-makers from multiple sectors, i.e. research agencies, regulatory bodies, industry, academia, and government laboratories, to discuss the state-of-the-art, relevant gaps, barriers, and paths-forward to the adoption of CM technologies in Q&C activities for advanced manufacturing, including metallic process-intensive materials (PIM) like additive manufacturing, in-space manufacturing, marine manufacturing, and other non-traditional scenarios.
The primary objective of the symposium is to bring together the relevant stakeholders to strategize CM tool development from the current state-of-the-art, across gaps and over barriers, and toward a robust and meaningful implementation of CM in Q&C for advanced manufacturing. The intent is for representatives from each sector to discuss their needs and requirements, current CM capabilities and readiness levels, paths forward in ongoing technology development, and regulatory considerations.
Presentations are solicited in a variety of topical areas within this theme, including but not limited to:
* Perspectives from industry, research agencies, and regulatory bodies on the needs and requirements for adoption of CM in Q&C workflows.
* Computational approaches for the Q&C of advanced manufacturing in space, the aerospace industry, marine environments, and other non-traditional scenarios.
* The need for data, validation, verification, and uncertainty quantification in CM tools.
* The state of the art for simulating defects, fatigue, and damage tolerance.
* The role of artificial intelligence and machine learning in Q&C of advanced manufacturing. |