Illinois Tech Researcher Receives CAREER Grant for Powder-Based AM
An Illinois Institute of Technology professor has been awarded a CAREER grant to advance powder-based additive manufacturing technologies.
Dr. Jianzhi Li, an assistant professor at the Illinois Institute of Technology (Illinois Tech), has received a National Science Foundation (NSF) CAREER Award for his research in powder-based additive manufacturing (AM).
The grant will support Dr. Li's work on developing advanced computational models to understand and control the behavior of metal powders during the AM process. His research aims to address key challenges in powder-based AM, such as achieving precise control over powder flow, particle packing, and thermal transport, which are critical for producing high-quality parts.
This project focuses on creating predictive models that can simulate the complex interactions between powder particles, the energy source, and the surrounding environment. By accurately predicting how powders behave under different printing conditions, the research intends to enable more reliable and efficient manufacturing of complex metal components. The findings are expected to contribute to improved material properties and reduced defect rates in 3D-printed parts.
The NSF CAREER Award is one of the most prestigious awards given by the NSF to early-career faculty, recognizing and supporting outstanding research and teaching. Dr. Li's award highlights the significance of his work in advancing the field of additive manufacturing.
This research is significant as it targets fundamental challenges in powder-based AM, a core technology for metal part production. Developing predictive computational models can lead to greater process control, reduced material waste, and enhanced part reliability. Such advancements are crucial for scaling AM in demanding sectors like aerospace and medical devices, moving towards more robust and predictable in-situ manufacturing capabilities.
Edited by the news editor with AI from the original report — please refer to the original source.