​Seminar on Towards smart metal additive manufacturing through in-situ sensing, monitoring and defect correction

Published on: 07-Jan-2020

School of Mechanical & Aerospace Engineering
Seminar Announcement​
                   Towards smart metal additive manufacturing through in-situ sensing, monitoring and defect correction         
Dr. Marco Grasso
Department of Mechanical Engineering
Politecnico di Milano
Date: Wednesday, 15 January 2020
Time: 10:30am
Venue: Lecture Theatre @ The Arc (LHN-B1-15)

This seminar will be hosted by Assistant Professor Matteo Seita

Seminar Abstract


The industrial breakthrough of metal additive manufacturing (AM) processes mainly involves highly regulated sectors, e.g., aerospace and healthcare, where both part and process qualification are of paramount importance. Because of this, there is an increasing interest for in-situ monitoring tools able to detect defects and unstable process states since their onset stage during the process itself. In-situ measured quantities can be regarded as “signatures” of the process behavior and proxies of the final part quality. However, despite the increasing availability of integrated sensors in metal AM systems, several challenges must be faced to make sense of such (big) data streams in a fully automated, robust and computationally efficient way. This talk will provide an overview of the research carried out at Politecnico di Milano in field of in-situ sensing, monitoring and control of powder bed fusion processes. Starting from a classification of different in-situ measurement levels, examples and applications of solutions based on high spatial and temporal resolution video-image data will be presented. A recently developed approach for automated in-line defect correction in laser powder bed fusion will be discussed too. Eventually, the talk will outline some perspectives for future developments in the route towards smart metal AM technologies.

Speaker’s Biography​

Marco Grasso is Assistant Professor in the Department of Mechanical Engineering of Politecnico di Milano. After receiving his MSc in Aerospace Engineering, he spent three years as R&D and production engineer in the space sector. He got his PhD in Mechanical Engineering in 2015 at Politecnico di Milano, after a period spent as visiting scholar at the Hong Kong University of Science and Technology. The general framework of his research consists of statistical  process  monitoring  of  manufacturing  processes  and  production  systems  via  signal  data  analysis  and information fusion methods. Since 2015, the core of his research has been devoted to the development of novel in-situ sensing, monitoring and control solutions in metal additive manufacturing. In this field, he is currently working on the use of in-situ and in-line video-image data streams for defect detection in both laser and electron beam powder bed fusion (L- and EB-PBF). At the Department of Mechanical Engineering, he is the operating responsible of the inter-department lab for applied research in EB-PBF.


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