Metrology for fundamental properties of laser-matter interaction in metal-based additive manufacturing
This grant funds research to improve metal 3D printing by developing better measurement tools for laser behavior, material cooling, and other key factors.
This grant is no longer accepting proposals
NRC Research Associateship Programs has archived this opportunity.
Funder: NRC Research Associateship Programs
Due Dates: February 1, 2025 | May 1, 2025 | August 1, 2025
Funding Amounts: Base stipend approximately $82,764/year with $3,000 travel allowance; typical appointment duration 2 years.
Summary: Supports postdoctoral research to develop advanced metrology tools for laser-matter interaction and process monitoring in metal additive manufacturing using laser powder bed fusion.
Key Information: Open to U.S. citizens with a Ph.D. earned within the last 5 years; research conducted at NIST in Gaithersburg, MD; requires prior contact with Research Adviser.
Description
This fellowship opportunity supports postdoctoral research at the National Institute of Standards and Technology (NIST) focused on advancing metrology for metal-based additive manufacturing, specifically laser powder bed fusion (LPBF). The project aims to develop precise measurement tools to characterize fundamental properties of laser-matter interaction, including laser propagation, material cooling rates, and thermo-fluid dynamics. Techniques employed include high-speed micro-videography, radiometry, and both contact and non-contact thermo-fluid measurements.
The research addresses the critical need for experimental validation of computational models and in-situ process monitoring under highly controlled conditions, which is essential for broader adoption of metal additive manufacturing in critical applications requiring qualification and certification.
Desired qualifications include experimental research experience, mechanical design skills (preferably SolidWorks), proficiency in LabVIEW for virtual instrument development, and data/image processing experience (MATLAB preferred).
