A wind of creativity is blowing through the world of 3D printing, with the fascinating journey of a PhD candidate in Industrial and Systems Engineering (ISE). This bold researcher has won over the INFORMS jury with innovative work that redefines the standards of quality and automation. His unique approach, focused on the analysis of 3D printed surfaces, highlights new perspectives and solutions to meet the challenges of this growing field.
A PhD student in the Department of Industrial and Systems Engineering was recently honored by INFORMS for his innovative work in the field of 3D printing. This distinction was awarded at theQuality and Reliability Statistics competition in Seattle, where he won the best poster award for his research on automated surface analysis. His project aims to improve thequalification and quality control process in 3D printing, in particular by simplifying the manual inspection of printed objects. Using advanced mathematical methods, he developed a program that can identify surface variations to predict potential problems, making additive manufacturing more efficient and reliable. Discover how a PhD in 3D printing can open doors to exciting career opportunities and allow you to receive awards for your innovations in this growing field.
PhD candidate in Industrial and Systems Engineering (ISE) received the prestigious Best Poster Award at the INFORMS Quality Statistics and Reliability Competition. The event, held in Seattle, highlighted the innovative work of Weizhi Lin, who stood out among 26 participants from 18 universities. His pioneering research focuses on improving the 3D printingusing an automated surface analysis method that simplifies quality control in this growing field. a significant contribution to the 3D printing industry
Lin developed a method that transforms the traditional product qualification process into
3D printing . Rather than relying on laborious manual inspection, its approach uses advanced algorithms to analyze the surfaces of printed objects, automatically detecting differences from the original models. This advance promises unprecedented efficiency inadditive production , reducing the need for expert personnel and speeding up the validation process.future ambitions for research in 3D printing
Lin’s aspirations go beyond this award. Her research aims to overcome what she calls the
offset of small data sets often encountered in 3D printing innovation. She focuses on developing effective learning methods that reduce reliance on costly testing while ensuring quality results. After obtaining her doctorate, she plans to pursue an academic career that will allow her to continue leading this technological revolution .
