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Prof. Hongyi Xu and Prof. Farhad Imani |
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A team of researchers from UConn has received the 2025 ASME Design for Manufacturing and the Life Cycle (DFMLC) Best Paper Award, a national honor given to only one paper each year. The award was presented at the ASME 2025 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE), held August 10–17 in Anaheim, California.
The winning paper introduces a new artificial intelligence framework that helps detect problems in advanced 3D printing processes, also known as additive manufacturing. By combining powerful language models with scientific data, such as images and text from research articles, the system can automatically spot and explain manufacturing defects without needing prior training on each specific case. The team successfully tested this method on several datasets from Oak Ridge National Laboratory, covering different machines, materials, and conditions.
The research was carried out by Kiarash Naghavi Khanghah, Zhiling Chen, Lela Romeo, Dr. Qian Yang, Dr. Rajiv Malhotra, Dr. Farhad Imani, and Dr. Hongyi Xu, in collaboration across the UConn School of Mechanical, Aerospace, and Manufacturing Engineering, the UConn School of Computing, and the Rutgers Department of Mechanical and Aerospace Engineering.
A preprint of the paper is available through this link https://arxiv.org/abs/2505.13828
Researchers from the School of Mechanical, Aerospace, and Manufacturing Engineering in UConn’s College of Engineering, pursue groundbreaking research to understand the impact of aging-related physicochemical modifications on the structure and function of elastin, a vital protein that imparts elasticity and recoil function to many connective tissues in the human body, including within elastic arteries. These modifications play a significant role in age-related diseases such as diabetes, motivating the importance of studying elastin’s behavior in aging arteries.
