Vacancy-Induced Solute Clustering and Precipitation in Lightweight Alloys
Understanding the thermodynamic role of excess vacancies in controlling solute clustering and precipitation behavior in Mg and Al alloys.
This NSF-funded project investigates the role of excess vacancies in driving solute clustering and precipitation in magnesium and aluminum alloys. These insights support the development of high-performance, lightweight materials for structural and biomedical applications.
Conducted in collaboration with
Prof. Michael Falk (JHU), Dr. Arun Devaraj (PNNL), Dr. Marc H Weber (WSU), and Dr. Mark McLean (NIST), this project integrates advanced characterization with defect thermodynamics.
Research Objectives
- Quantify vacancy concentrations generated by processing.
- Examine how vacancies influence solute clustering and precipitation.
- Understand fundamental thermodynamics of vacancy–solute interactions.
Methodology
Vacancy Manipulation:
- Controlled quenching and deformation introduce tailored vacancy concentrations.
Characterization Suite:
- Positron Annihilation Spectroscopy (PAS) – quantifies vacancy concentration.
- Atom Probe Tomography (APT) – 3D mapping of solute cluster structures.
- XRD & TEM – validate phase formation and crystallographic structure.
Systems Under Study:
- Mg Alloys: Mg–Al, Mg–Zn, Mg–Y
- Al Alloys: Al–Mg, Al–Ag, Al–Cu
Mechanistic Insights:
- Simulations and theory help correlate experimental data with clustering energetics.
APT Tomography
Outcomes and Impact
- Enables defect-level control over strengthening behavior.
- Reveals how vacancies assist or hinder early-stage clustering and precipitation.
- Supports the design of durable, bio-compatible materials with tunable nanoscale properties.
Keywords: vacancies, solute clustering, precipitation, APT, PAS, thermodynamics, magnesium alloys, aluminum alloys, NSF, advanced characterization