22-000002667 - Directed assembly of mesoscale architectures in additive manufacturing
Abstract
Additive manufacturing (AM) can revolutionize the design and production of materials and structures that are critical to next-generation DoD capabilities. However, at present AM is largely limited to producing objects using traditional material feedstocks that involve one primary physical or chemical transformation, such as melting, bonding, curing, or sintering. The use of AM to spatially dictate microstructure or mesostructure would open unprecedented new opportunities, if achieved in a predictive manner using functional materials and scalable processing pathways.In this MURI program, we will pursue a comprehensive approach to realize mesoscale control of material composition and structure in AM, through a team with expertise spanning chemistry, materials science, molecular and mesoscale simulation, machine learning, machine design, and characterization. Our research will involve four interconnected thrusts:(1) synthesis of novel polymer and composite feedstocks, enabling spatiallytailored control of composition and self-organization during AM; (2) the design and use of modular AM testbeds to apply directed stimuli and to characterize resultant mesoscale architectures in situ; (3) data-driven modeling of the multiscale organization, interfacial behavior, and emergent properties arising through use of novel AM feedstocks and stimuli-directed processing; and (4) chemical and physical understanding of the processes that lead tospatially tailored mesoscale order through AM, with a focus on measurement and data-driven design of resulting thermal, electromagnetic, and optical properties.Collaborative research within our team and with DoD experts will allow us to address key fundamental questions underlying the development and control of mesoscale ordering, and its relationships to emergent properties. The MURI programwill therefore lead to an integrated capability to produce macroscale geometries with desired mesoscale architectures across lengthscales, opening new avenues for the advanced manufacturing of functional devices with broad DoD and societal relevance.Approved forPublic Release
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 24, 2023
- Source ID
- N000142312499
Entities
People
- A. John Hart
Organizations
- Massachusetts Institute of Technology
- Office of Naval Research
- United States Navy