SPECIAL SESSION #07

Maria Sabrina Sarto

University la Sapienza of Rome, Italy

• mariasabrina.sarto@uniroma1.it

Laura Fabbiano

Polytechnic University of Bari, Italy

• laura.fabbiano@poliba.it

Rosario Schiano Lo Moriello

University of Naples Federico II, Italy

• rschiano@unina.it

Emiliano Schena

University Campus Bio-Medico of Rome, Italy

• e.schena@unicampus.it

Recent advances in 3D printing technologies, materials, and sensing systems are enabling the development of innovative solutions that are increasingly accepted and effective for a wide range of industrial applications. Despite this progress, many challenges remain, particularly related to metrological and validation aspects. These include the optimization of the design and manufacturing processes, the long-term stability and reproducibility, and the validation of both 3D-printed sensors and process-monitoring sensors in real-world industrial conditions. In addition, combining addictive manufactured sensors with machine learning algorithms has gained broad acceptance, supporting the transformation of a variety of industrial processes and sectors, such as healthcare, aerospace, automotive, food monitoring, smart agriculture. At the same time, new generations of sensors dedicated to monitoring and controlling additive manufacturing processes are emerging, supporting the optimization of printing parameters, defect detection, and in-situ quality assurance. Combining these sensing approaches with machine learning algorithms and digital twins opens new perspectives for process automation and predictive maintenance.

This Special Session aims to bring together experts on sensing solutions based on 3D manufacturing and on sensors for 3D printing systems, exploring their application in different industrial fields. Contributions addressing the optimization of sensor design and fabrication, the metrological characterization of both printed and in-process sensors, the role of process parameters (e.g., infill pattern, nozzle temperature, layer orientation), emerging materials used to develop new solutions, and machine learning algorithms for the analysis of data collected by these sensors as well as the integration of emerging materials and intelligent data analysis methods, are particularly encouraged.

Paper submissions are welcome on (but not limited to) the following topics:

• Techniques for optimizing the design of 3d printed sensing solutions;
• Manufacturing processes to develop new 3d printed sensing solutions;
• Metrological properties of 3d printed sensing solutions;
• 3d printed sensors in smart pharm;
• 3d printed sensors for physiological monitoring;
• 3d printed sensors in occupational settings and sports science;
• New metrics and algorithms for data analysis collected by 3d printed sensors;
• The influence of manufacturing process parameters on 3d printed sensors’ properties;
• Sensors and measurement systems for real-time monitoring of additive manufacturing processes;
• In-situ monitoring and control of printing parameters (temperature, vibration, melt-pool dynamics, layer thickness, humidity);
• Development of multi-modal sensing architectures for process quality and defect detection;
• AI-based sensor fusion for anomaly detection and predictive process control;
• Sensors for material characterization during extrusion, curing, sintering or laser fusion;
• Wireless and distributed sensor networks for monitoring large-scale AM systems.

Maria Sabrina Sarto (Senior Member, IEEE) received the Ph.D. degree at University la Sapienza of Rome in 2007. She is a Full professor of Electrical Engineering and Vice Rector for Research at University la Sapienza. She is IEEE fellow member, Founder of the Technical Committee of the IEEE EMC Society TC10-Nanotechnology and Advanced Materials, General Co-Chair of many IEEE sponsored symposium/workshop, Member of the EMC Fellow Evaluation Committee and Member of the IEEE Nanotechnology Council Fellow Evaluation Committee.

Laura Fabbiano (Member, IEEE) received the M.S. and Ph.D. degrees in Electrical Engineering from the Polytechnic University of Bari, Italy, where she carried out her doctoral research in the field of electrical measurements. She is currently an Associate Professor of Mechanical and Thermal Measurements with the Department of Mechanics, Mathematics, and Management, Polytechnic University of Bari. Her research interests include electrical and thermal measurements, sensor characterization, and measurement uncertainty analysis.

Rosario Schiano Lo Moriello received the Ph.D. degree from University of Naples Federico II, Naples, Italy, in 2004. He is an Associate Professor of Mechanical and Thermal Measurements and Co-Founder of three spinoff, SHARPS S.r.l.s., ARCADIA S.r.l. and Cogito S.r.l.. He is the head of the Laboratory of Measurements for Mechatronics and Technology Innovation and member of the Technical Committee of the Center for Advanced Metrological and Technological Services of the University of Naples Federico II.

Emiliano Schena (Senior Member, IEEE) received the Ph.D. degree from Università Campus Bio-Medico di Roma (UCBM), Rome, Italy, in 2007. He is a Full professor of Measurements and Sensors and Vice Rector for education. He is Adjunct Professor with Arkansas University. He IEEE Senior member, officers of the IEEE Italy Section, Counselor of the IEEE Student Branch of Università Campus Bio-Medico di Roma and Co-Founder of HEREMOS s.r.l.