Multiscale/Multifunctional Tailoring of Parts Produced by Powder-Based Additive Manufacturing via Design Optimization Incorporating Hyper-Reduced-Order Modeling
Abstract
Physics insight gained from computational modeling and simulation (CMS) of additive manufacturing (AM) processes can help facilitate effective multiscale/multifunctional tailoring of AM parts. However, accurately capturing the physics of AM with traditional CMS can be costly with respect to resources and time. The main objective of the work described in this document is to explore projection-based reduced-order modeling (PROM) as a means to reduce CMS resources and time of the heat-deposition additive manufacturing physics. The presented PROM framework can be deployed to accelerate multi-query settings, as seen in design optimization frameworks for the multiscale/multifunctional tailoring of AM-based parts.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 31, 2021
- Accession Number
- AD1158722
Entities
People
- Athanasios Iliopoulos
- John C. Steuben
- John G Michopoulos
- Steven N. Rodriguez
Organizations
- United States Naval Research Laboratory