Multiscale Models for Short Crack Evolution in Polycrystalline Microstructures of Titanium Alloys Using Coupled Phase Field Crystal Plasticity FEM

Abstract

Fatigue or time-dependent fracture is a major mode of failure in aircraft structures and engine components. The proposed research will develop a novel experimentally-validated system of spatio-temporal multi-scale computational models for fatigue crack evolution in metallic materials. Particular focus for experimental calibration and validation will be on the single phase alloy Ti-7Al and near-? and ??? Ti alloys Ti-6Al-4V and Ti-6422, which are widely used in aerospace and propulsion applications. This research will incorporate four major tasks. (i) Physics-based coupled phase-field crystal plasticity (PF-CP) models of crack nucleation and growth- This task will develop a concurrent atomistic-continuum model to identify and quantify deformation and crack growth variables in the atomistic domain, and transfer to the continuum domain as internal variables. Self-consistent models of coupled PF-CP constitutive relations will be developed for crack nucleation and propagation. (ii) Novel computational algorithms for modeling crack evolution in the microstructure- This task will augment the wavelet-adapted coupled phase-field–crystal plasticity FE modeling for robust and stable fracture modeling. (iii) Coupled phase-field–parametrically homogenized constitutive models (PF-PHCM) for macroscopic crack evolution- This task will advance the PHCMs for Ti alloys to create macroscopic models of crack nucleation and short crack growth in structural components. Machine learning tools will operate on PF-CPFE simulation data to develop the coupled PFPHCM models. (iv) Material characterization, mechanical testing, and experimental fracture studies will be conducted in a parallel project by Dr. A. Pilchak’s group at AFRL-RX to complement the JHU based modeling.

Document Details

Document Type
DoD Grant Award
Publication Date
Mar 07, 2023
Source ID
FA95502110321

Entities

People

  • Somnath Ghosh

Organizations

  • Air Force Office of Scientific Research
  • Johns Hopkins University
  • United States Air Force

Tags

Readers

  • Computational Fluid Dynamics (CFD)
  • Materials Science (Mechanical Engineering).
  • Powder metallurgy of Titanium alloys.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Space