Machine learning integrated design for additive manufacturing
For improving manufacturing efficiency and minimizing costs, design for additive
manufacturing (AM) has been accordingly proposed. The existing design for AM methods …
manufacturing (AM) has been accordingly proposed. The existing design for AM methods …
Systems approaches to materials design: past, present, and future
R Arróyave, DL McDowell - Annual Review of Materials …, 2019 - annualreviews.org
There is increasing awareness of the imperative to accelerate materials discovery, design,
development, and deployment. Materials design is essentially a goal-oriented activity that …
development, and deployment. Materials design is essentially a goal-oriented activity that …
Data science and cyberinfrastructure: critical enablers for accelerated development of hierarchical materials
SR Kalidindi - International Materials Reviews, 2015 - journals.sagepub.com
The slow pace of new/improved materials development and deployment has been identified
as the main bottleneck in the innovation cycles of most emerging technologies. Much of the …
as the main bottleneck in the innovation cycles of most emerging technologies. Much of the …
Key computational modeling issues in integrated computational materials engineering
Designing materials for targeted performance requirements as required in Integrated
Computational Materials Engineering (ICME) demands a combined strategy of bottom–up …
Computational Materials Engineering (ICME) demands a combined strategy of bottom–up …
Data-driven design space exploration and exploitation for design for additive manufacturing
Recently, design for additive manufacturing has been proposed to maximize product
performance through the rational and integrated design of the product, its materials, and …
performance through the rational and integrated design of the product, its materials, and …
Concurrent design of hierarchical materials and structures
DL McDowell, GB Olson - Scientific modeling and simulations, 2009 - Springer
Significant achievements have been demonstrated in computational materials design and its
broadening application in concurrent engineering. Best practices are assessed and …
broadening application in concurrent engineering. Best practices are assessed and …
Vision for data and informatics in the future materials innovation ecosystem
The high cost and time typically expended in the successful deployment of new materials
into high-performance commercial products is attributable to multiple factors. The most …
into high-performance commercial products is attributable to multiple factors. The most …
Optimisation-driven design to explore and exploit the process–structure–property–performance linkages in digital manufacturing
An intelligent manufacturing paradigm requires material systems, manufacturing systems,
and design engineering to be better connected. Surrogate models are used to couple …
and design engineering to be better connected. Surrogate models are used to couple …
An inverse, decision-based design method for integrated design exploration of materials, products, and manufacturing processes
AB Nellippallil, V Rangaraj… - Journal of …, 2018 - asmedigitalcollection.asme.org
A material's design revolution is underway with a focus to design the material microstructure
and processing paths to achieve certain performance requirements of products. A host of …
and processing paths to achieve certain performance requirements of products. A host of …
Calibrated localization relationships for elastic response of polycrystalline aggregates
In recent years, our research group has formulated a new framework called materials
knowledge systems (MKS) for establishing highly accurate reduced-order (surrogate) …
knowledge systems (MKS) for establishing highly accurate reduced-order (surrogate) …