System to characterize in-situ thermal, mechanical and chemical properties of materials

Abstract

US Department of Defense (DoD) are increasingly challenged with demands for high-performance structural systems with attributes like superior mission readiness, lethality, and survivability to combat multifarious threats facing the nation. Attaining superior capabilities in these advanced systems requires novel approaches to design and fabrication that are enabled by robust modeling and analysis. Advanced fiber-reinforced polymer and ceramic matrix composite materials are increasingly popular for structural and engine components used in a wide variety of military applications, from combat jets, armored vehicles, to drones. Additionally, new manufacturing approaches like additive manufacturing and robotic systems like Automated Fiber Placement (AFP) for laying down composite material, offers agile manufacturing capabilities with spatially distributed material properties. This enables effective microstructure designs for optimizing local property requirements. Modeling and design of such location-specific material microstructures in structure-material ensembles is however a challenging task due to the lack of effective multiscale models for composite curing, damage, and failure. A robust approach would be to develop Integrated Computational Materials and Manufacturing Engineering (ICMME) modeling approach which can be used to model the material and its evolution over the entirety of manufacturing and service life.

Document Details

Document Type
DoD Grant Award
Publication Date
Feb 29, 2024
Source ID
FA95502310058

Entities

People

  • Paul Davidson

Organizations

  • Air Force Office of Scientific Research
  • United States Air Force
  • University of Texas at Arlington

Tags

Readers

  • Computational Fluid Dynamics (CFD)
  • Reinforced Composite Materials
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy