<p>There is a growing need to understand the
deformation mechanisms in titanium alloys due to their widespread use in the
aerospace industry (especially within gas turbine engines), variation in their
properties and performance based on their microstructure, and their tendency to
undergo premature failure due to dwell and high cycle fatigue well below their
yield strength. Crystal plasticity finite element (CPFE) modeling is a popular
computational tool used to understand deformation in these polycrystalline alloys.
With the advancement in experimental techniques such as electron backscatter
diffraction, digital image correlation (DIC) and high-energy x-ray diffraction,
more insights into the microstructure of the material and its deformation
process can be attained. This research leverages data from a number of
experimental techniques to develop well-informed and calibrated CPFE models for
titanium alloys at multiple length-scales and use them to further understand
the deformation in these alloys.</p>
<p>The first part of the research utilizes
experimental data from high-energy x-ray diffraction microscopy to initialize
grain-level residual stresses and capture the correct grain morphology within
CPFE simulations. Further, another method to incorporate the effect of grain-level
residual stresses via geometrically necessary dislocations obtained from 2D
material characterization is developed and implemented within the CPFE
framework. Using this approach, grain level information about residual stresses
obtained spatially over the region of interest, directly from the EBSD and
high-energy x-ray diffraction microscopy, is utilized as an input to the model.</p>
<p>The second part of this research involves
calibrating the CPFE model based upon a systematic and detailed optimization routine
utilizing experimental data in the form of macroscopic stress-strain curves
coupled with lattice strains on different crystallographic planes for the α and
β phases, obtained from high energy X-ray diffraction experiments for multiple
material pedigrees with varying β volume fractions. This fully calibrated CPFE
model is then used to gain a comprehensive understanding of deformation
behavior of Ti-6Al-4V, specifically the effect of the relative orientation of
the α and β phases within the microstructure.</p>
<p>In the final part of this work, large and highly
textured regions, referred to as macrozones or microtextured regions (MTRs),
with sizes up to several orders of magnitude larger than that of the individual
grains, found in dual phase Titanium alloys are modeled using a reduced order
simulation strategy. This is done to overcome the computational challenges
associated with modeling macrozones. The reduced order model is then used to
investigate the strain localization within the microstructure and the effect of
varying the misorientation tolerance on the localization of plastic strain
within the macrozones.</p>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/10050506 |
| Date | 30 October 2019 |
| Creators | Kartik Kapoor (7543412) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/EXPERIMENTALLY_VALIDATED_CRYSTAL_PLASTICITY_MODELING_OF_TITANIUM_ALLOYS_AT_MULTIPLE_LENGTH-SCALES_BASED_ON_MATERIAL_CHARACTERIZATION_ACCOUNTING_FOR_RESIDUAL_STRESSES/10050506 |
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