Integrated Computational Materials Engineering Tools for ...of dislocations with the primary...

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Lawrence Livermore National Laboratory Integrated Computational Materials Engineering Tools for Optimizing Strength of Forged Al-Li Turbine Blades for Aircraft Engines Need Investigate aluminum Current aircraft engine’s fan blades are made of titanium Develop blades from lighter materials, such as aluminum alloys Build a crystal plasticity model to predict strength of aluminum/lithium alloys Strength model should make a clear physical connection between strengthening and microstructural features LLNL’s team has experience building strength models for BCC materials Sylvie Aubry (LLNL), Tom Arsenlis (LLNL), John Allison ( UMich ), and Alex Staroselsky (UTRC) Also in collaboration with Brett Wayne (LLNL), Kai Sun (UMich), Luke Borowski (UTRC) and Jacob Garves (UMich) Benefits Lightweight alloys will save energy in the transportation sector Aircraft weight is an important factor in fuel economy. Develop blades from lighter materials, such as aluminum alloys reduces that weight Anticipated weight saving from substituting Ti blades to Al-Li ones is 20% - 25%. Total weight saving per engine is about 75 lbs. Total amount of fuel saving 13.5 million gallons per year. Expected savings are $26M per year. Approach Predict strength of AL-Li materials through simulations of dislocations defects interactions and evolution Use dislocation dynamics simulations of the interaction of dislocations with the primary precipitates to provide strength of proposed Al-Li alloys. Investigate the influence of precipitate density and morphology on the strength of the alloy provided by the LIFT Simulation of precipitate hardening in alloys includes full elastic interactions between dislocations, the evolution of dislocation networks, and the treatment of the precipitates as finite nanoscale objects locally interacting with the dislocations. Execute large-scale dislocation dynamics simulations on supercomputing facilities at LLNL to sweep the potential parameter space of the precipitate microstructure, to provide sufficient statistical information to the LIFT team. Results Results show up to 8x higher strength of Al- Li alloys compared to pure Al Development of new dislocation mobility law for Aluminum materials Development of new dislocation mobility law for Al/Li alloys Execute pure aluminum large-scale simulations Creation of ellipsoidal precipitates of different kinds Periodic arrays of precipitates Large-scale simulations of aluminum with lithium precipitates This research was supported by the High-Performance Computing for Manufacturing Project Program (HPC4Mfg), managed by the U.S. Department of Energy Advanced Manufacturing Office within the Energy Efficiency and Renewable Energy Office. It was performed under the auspices of the US Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. Release number: LLNL-POST-725841 Comparison of the stress/strain response between pure aluminum and aluminum with 1% to 5% lithium. Precipitate strengthening 0 50 100 150 200 250 300 350 400 450 0 0.0005 0.001 0.0015 0.002 0.0025 0.003 0.0035 0.004 Stress (MPa) Plastic Strain Aluminum with 1% Lithium Aluminum with 2% Lithium Aluminum with 3% Lithium Aluminum with 4% Lithium Aluminum with 5% Lithium Different types of precipitates: spherical, T, and θ’ Dislocation dynamics using the ParaDiS capability TEM visualization of precipitates in Al/Li alloys Fan blade in aircraft engine Provide yield strength data as a function of particle size, shape and density that can be used to determine the functional forms for crystal plasticity models developed at UM and UTRC as part of the ICME effort to optimize the processing of these alloys for aircraft engine environments. lithium alloys to replace heavier titanium components in aircraft engine parts

Transcript of Integrated Computational Materials Engineering Tools for ...of dislocations with the primary...

Page 1: Integrated Computational Materials Engineering Tools for ...of dislocations with the primary precipitates to provide strength of proposed Al-Li alloys. ... • Development of new dislocation

Lawrence Livermore

National Laboratory

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Integrated Computational Materials Engineering Tools for Optimizing Strength of Forged Al-Li Turbine Blades

for Aircraft Engines

NeedInvestigate aluminum

• Current aircraft engine’s fan blades are made of titanium

• Develop blades from lighter materials, such as aluminum alloys

• Build a crystal plasticity model to predict strength of aluminum/lithium alloys

• Strength model should make a clear physical connection between strengthening and microstructural features

• LLNL’s team has experience building strength models for BCC materials

Sylvie Aubry (LLNL), Tom Arsenlis (LLNL), John Allison (UMich), and Alex Staroselsky (UTRC)

Also  in  collaboration  with Brett  Wayne  (LLNL),  Kai  Sun  (UMich),  Luke  Borowski (UTRC)    and  Jacob  Garves  (UMich)

BenefitsLightweight alloys will save energy in the transportation sector

• Aircraft weight is an important factor in fuel economy.

• Develop blades from lighter materials, such as aluminum alloys reduces that weight

• Anticipated weight saving from substituting Ti blades to Al-Li ones is 20% - 25%. Total weight saving per engine is about 75 lbs. Total amount of fuel saving 13.5 million gallons per year.

• Expected savings are $26M per year.

Approach Predict strength of AL-Li materials through simulations of dislocations defects interactions and evolution

Use dislocation dynamics simulations of the interaction of dislocations with the primary precipitates to provide strength of proposed Al-Li alloys.

Investigate the influence of precipitate density and morphology on the strength of the alloy provided by the LIFT

Simulation of precipitate hardening in alloys includes full elastic interactions between dislocations, the evolution of dislocation networks, and the treatment of the precipitates as finite nanoscale objects locally interacting with the dislocations.

Execute large-scale dislocation dynamics simulations on supercomputing facilities at LLNL to sweep the potential parameter space of the precipitate microstructure, to provide sufficient statistical information to the LIFT team.

ResultsResults show up to 8x higher strength of Al-Li alloys compared to pure Al• Development of new dislocation mobility law

for Aluminum materials• Development of new dislocation mobility law

for Al/Li alloys• Execute pure aluminum large-scale

simulations• Creation of ellipsoidal precipitates of

different kinds• Periodic arrays of precipitates • Large-scale simulations of aluminum with

lithium precipitates

This research was supported by the High-Performance Computing for Manufacturing Project Program (HPC4Mfg), managed by the U.S. Department of Energy Advanced Manufacturing Office within the Energy Efficiency and Renewable Energy Office. It was performed under the auspices of the US Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. Release number: LLNL-POST-725841

Comparison of the stress/strain response between pure aluminum and aluminum with 1% to 5% lithium.

Precipitate strengthening

0

50

100

150

200

250

300

350

400

450

0 0.0005 0.001 0.0015 0.002 0.0025 0.003 0.0035 0.004

Stre

ss (M

Pa)

Plastic Strain

Aluminum with 1% LithiumAluminum with 2% LithiumAluminum with 3% LithiumAluminum with 4% LithiumAluminum with 5% Lithium

Different  types  of  precipitates:  spherical,  T,  and  θ’

Dislocation dynamics using the ParaDiS capability

TEM visualization of precipitates in Al/Li alloys

Fan  blade  in  aircraft  engine

Provide yield strength data as a function of particle size, shape and density that can be used to determine the functional forms for crystal plasticity models developed at UM and UTRC as part of the ICME effort tooptimize the processing of these alloys for aircraft engine environments.

lithium alloys to replace heavier titanium components in aircraft engine parts