Prof Brabazon awarded Best Research Paper Contribution at Future of AM Conference
The award was presented at the Future of AM 2025 conference in Singapore on 6th August 2025 by Prof. Wai Yee Yeong, Editor in Chief of the International Journal of AI for Materials and Design. The research paper for which the award was granted presents a new machine sensing method and machine learning algorithm framework for precisely quantifying the quality of metal additively manufactured parts.
Metal additive manufacturing is used for the production of components such as biomedical implants, actuators, heat pumps, as well as for the repair of jet engine components. Defects occur in a random manner in many advanced manufacturing processes. Therefore their detection is critical for ensuring the quality control and safety of produced parts. In this published work, the new machine learning algorithm and framework presented enables the measurement of porosity levels in real time during the production of additively manufactured parts and importantly has enabled classification of the level of these defects within manufactured components. This research was performed within the DCU Institute of Advanced Processing Technology.
Prof Dermot Brabazon said:
"This paper has stemmed from our research group work over the last few years. In addition to enabling real time quality detection, the developed algorithm can be used for closed loop quality control during the production process. This is a significant step forward in enabling additive manufacturing to be used more broadly for the manufacturing of various components. This award is a tribute to the excellent work of the researchers involved and shows the positive output that can come from a sustained research focus."
Paper reference:
Vivek Mahato, Suman Chatterjee, Anesu Nyabadza, Annalina Caputo, and Dermot Brabazon, Layer porosity in powder-bed fusion prediction using regression machine learning models and time-series features, International Journal of AI for Materials and Design, 2024;1(3): 33-49. doi: 10.36922/ijamd.4812