Emmanuelle Marquis
University of Michigan, MI·Materials Science
Aluminum alloys make vehicles lighter, which helps cut carbon dioxide emissions. Wider use of these alloys, however, requires them to be both strong and formable, meaning they can be shaped without cracking.
- Fields
Materials Science
Engineering
- Topics
aluminum alloys
Al-Mg-Si-Cu
solute clusters
- Grants
- 1 known grant, through Jul 2027
What they work on
- Characterize the nanoscale solute clusters that form in model Al-Mg-Si(-Cu) aluminum alloys during heat treatment and natural aging at room temperature, using advanced characterization techniques.
- Determine how solute clusters interact with deformation to control strength and formability in these alloys, as a basis for tailoring thermo-mechanical (heat and shaping) treatments to alloy composition.
- Provide experimental data to support physics-based deformation models of aluminum alloys that span from atomistic to continuum scales.
More about the research
Today, these two properties often trade off against each other. The alloys also need to last longer, take less energy to process, and be easier to recycle. Understanding what controls strength and formability at the atomic scale is a step toward meeting these goals.
Why it matters
Aluminum alloys that are both stronger and easier to form could expand lightweight aluminum parts in transportation and help reduce CO2 emissions. By showing how to tailor processing to each alloy's composition, the work could also make alloys more versatile and possibly easier to recycle. It may also support physics-based models that speed up how new alloys are developed and brought into use.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Michael Falk
Johns Hopkins University, MD·Materials Science
Use machine learning to derive structural order parameters of amorphous metals from electron nanodiffraction and atomistic simulation data, linking measurements made at different scales.
Arif Malik
University of Texas at Dallas, TX·Engineering
Develop a physics-based model that predicts which process conditions lead to 3rd octave chatter vibration during cold rolling of flat metals on multi-stand tandem mills.
Jaime Marian
University of California-Los Angeles, CA·Materials Science
Determine how 'necklace' microstructures nucleate at grain boundaries during dynamic recrystallization in body-centered-cubic refractory multi-principal element alloys, using mesoscale modeling.
The school
University of Michigan: 124 labs on PI Pages, $2.1B a year on research, 963 research doctorates a year.
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