Employing Machine Learning to Accelerate High Temperature Corrosion-Resistant Materials Design
Navy STTR 2020.A - Topic N20A-T019 ONR - Mr. Steve Sullivan [email protected] Opens: January 14, 2020 - Closes: February 26, 2020 (8:00 PM ET)
TECHNOLOGY AREA(S):
Battlespace, Ground/Sea Vehicles, Materials/Processes ACQUISITION PROGRAM:
Shipboard Gas Turbine Marinization Package for Higher Temperature, Higher
Pressure Operations OBJECTIVE: Utilize
literature materials data and research data to develop models/algorithms for
machine learning (ML) that will detect data patterns and characteristic trends,
learn from the accumulated data, and evolve distinguishing characteristics
between calcium-magnesium-alumino-silicate attack (CMAS) and calcium sulfate
hot corrosion with and without the influence of sea salt in order to develop
resistant coatings to CMAS and calcium sulfate hot corrosion. DESCRIPTION: Calcium
oxide is known to react with chromium contained in MCrAlY (M=Ni, Co) alloys and
nickel-based superalloys to form a low-melting (1,100�C) calcium chromate. The
reactivity of gamma-NiAl and gamma-Ni-based NiCoCrAlY alloys with CaO at
1,100�C produced multi-layer scales of Al2O3 and calcium aluminates
(xCaO�yAl2O3).� Increasing alloy chromium content only enhances corrosion
severity. The reaction of two-phase beta-gamma MCrAlY alloys with CaO
progressed according to two distinct mechanisms. During the initial stage,
formation of a liquid calcium chromate led to the rapid consumption of the
Cr-rich gamma-phase. The extent of degradation was particularly important for a
single-phase gamma-composition, and was significantly reduced by increasing the
alloy beta fraction. In the subsequent stage, a continuous Al2O3 layer was
established at the base of the scale, which led to a much lower oxidation rate.
Additions of Al2O3 or SiO2 decreased the CaO reactivity due to the formation of
aluminates or silicates. CMAS degradation is both thermochemical and
thermomechanical to thermal barrier coatings (TBCs). Molten CMAS (1,150-1,240�C)
penetrates the TBC pores and freezes a given depthwithin the TBC. Early
research also showed that CaSO4 attacked yttria, destabilizing zirconia-based
TBCs. Upon cooling, the glass and reaction product phases solidify and the void
structure that is utilized to reduce thermal conductivity and provide the
strain compliance is lost leading to TBC delamination. Recent advances in
computer power, coupled with materials databases and informatics, modeling and
simulation, and experimental validation of models will enable accelerated
discovery and discrimination of degradation mechanisms leading to the creation
and development of new materials for mitigation corrosion. These informatic
tools will facilitate Integrated Computational Materials (Science and
Engineering) (ICMSE/ICME)) to reliably predict the composition and behavior of
new materials. This STTR topic seeks to develop the tools that will allow usage
of various open and closed materials data sources to provide more conclusive
outcomes for mitigation of degradation of propulsion components. This research
would develop algorithms from research of both mechanisms and utilize ML to
detect chemical patterns that distinguish between the two corrosion mechanisms
and lead to efforts to develop corrosion-resistant coatings. PHASE I: Search and
secure literature that pertains to calcium sulfate hot corrosion and CMAS
attack in propulsion systems. Identify key attributes/conditions, variables of
each corrosion mechanisms and material (alloy or coating), material system that
will help distinguish differences in the two mechanisms, which will help
develop experiments to validate and/or modify the models. Insert the literature
databases and experimental results into a data analytical program to
incorporate ML. Boundary conditions and variables that need to be considered
for entry: include the alloy/materials type,� the chemical composition of the
alloy, materials, and/or coatings, corrosion and/or oxidation activity,
fatigue, interdiffusion resistance, creep resistance to phase transitions, the
coefficient of thermal expansion compatibility, durability, stress, temperature
stability, etc. Assemble and assess a suite of modeling tools to predict
processing outcomes and desirable materials properties. Ensure that the
selected modeling tools have a history that the modeling results represent gas
turbine field (ship and/or aero) conditions, and provide an accurate
mathematical representation of the engineering principles and relationships
that predict materials� behavior in Navy ship or aero gas turbines. Create an
informatics-based framework that will be able to assess the type and quality of
the databases required by ICME and other computational programs that can also
work with materials modeling and simulation tools. Develop a Phase II plan. PHASE II: Using the
outline of a framework created in Phase I, expand the informatics-based program
to determine the quality of different database sources calcium sulfate hot
corrosion and CMAS attack in propulsion systems. Continue experiments performed
under the range of field conditions identified during Phase I to further
populate the data inputs to the ML framework. Validate or modify models as
needed to summarize general mechanistic trends and incorporate the complexity
in data using, for example, linear regression and logistic regression focus on
attribute relationships. Ensure that the discriminating database program is
able to perform nonparametric statistical tests for a rapid section-wise
comparison of two or more massive data sets, and repair errors in databases.
Ensure that the program provides a means for capturing, sharing, and
transforming materials data into a structured format that is amenable to
transformation to other formats for use by ICME and other computational programs
and modeling and simulation methods. Demonstrate the functionality of this
framework to distinguish between calcium sulfate hot corrosion and CMAS attack
in propulsion systems with or without the presence of sea salt. Ensure that the
framework is able to assist in determining materials resistant to CMAS attack
(including overlay/diffusion and thermal barrier coatings (TBCs)). The small
business should be working with an engine original equipment manufacturer (OEM)
to assist in determining discriminating variables for hot corrosion and CMAS. PHASE III DUAL USE
APPLICATIONS: Engage with the Government and/or public, commercial, company, or
professional technical societies that retain materials databases. Interface
with a software company that promotes and delivers materials computational
programs to explore and develop an integration pathway for the database
discriminating program with their software. The outcome of this technology
development program will be a commercial suite of informatics-derived tools that
can will be able to reliably analyze and discriminate various sources of
materials databases to optimize the capability for materials prediction.
Transition the material production methodology to a suitable industrial
material producer. The ICME code needs to be transitioned to the commercial
entity for potential incorporation of a more comprehensive ICME code.
Commercialize the material for use in DoD and commercial markets. The
commercial aviation industry would benefit from this technology when flying in
sand-ingested areas such as the Middle East and would provide some added
protection for aircraft against the effects of volcanic ash as there are
similarities chemically with CMAS, volcanic ash, and calcium sulfate-induced
hot corrosion. REFERENCES: 1. Cowles, B. Backman,
D. and Dutton, R. "Verification and Validation of ICME Methods and Models
for Aerospace Applications." Integrating Materials and Manufacturing
Innovation, 1, 16
(2012Verification_and_validation_of_ICME_methods_and_models_for_aerospace_applications/fulltext/027a24e00cf2195fcb29fdd0/Verification-and-validation-of-ICME-methods-and-models-for-aerospace-applications.pdf 2. Shifler, D,A, �The
Increasing Complexity of Corrosion in Gas Turbines.� 2019 Turbomachinery
Technical Conference & Exposition, June 17-21, 2019, Phoenix, AZ. Paper
GT2019-90111. https://gasturbinespower.asmedigitalcollection.asme.org/article.aspx?articleid=2656598 3. Shifler, D.A. and
Choi, S.R. �CMAS Effects on Ship Gas-Turbine Components/Materials.� 2018
Turbomachinery Technical Conference & Exposition, June 11-15, 2018,
Lillestr�m, Norway. Paper GT2018-75865. https://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleid=2700469 4. Kr�mer, S.,
Faulhaber, S., Chambers, M., Clarke, D.R., Levi, C.G., Hutchinson, J.W. and
Evans, A.G,.� Mechanisms of cracking and delamination within thick thermal
barrier systems in aero-engines subject to calcium-magnesium-alumino-silicate
(CMAS) penetration� Mater. Sci. Engr. A, 490 (2008).� � KEYWORDS: CMAS; Hot
Corrosion; Calcium Sulfate; Propulsion Materials; Informatics; Machine
Learning; Material Databases
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