Research database

Quality assurance for additive manufacturing

12 months (2020 - 2021)
Principal investigator(s):
Project type:
Corporate-funded and donor-funded research
Funding body:
Project identification number:
PoliTo role:
Sole Contractor


Ensuring quality and standardization of mechanical properties of the manufacts through implementation of robust on-line process monitoring. The project concept relies on the development and integration of state-of-the-art quality monitoring systems and artificial intelligence into the AM process, to avoid uncontrolled defects, improve process robustness, stability and repeatability. Improving AM processing time and costs To this date, AM is mainly a trial-and-error process, where most of the faulty artifacts are detected only AFTER the end of a job. This impacts on the processing time and overall costs of the process. Layer-wise detection of faults would reduce the overall processing time and costs.

People involved



ERC sectors

PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
PE6_2 - Computer systems, parallel/distributed systems, sensor networks, embedded systems, cyber-physical systems

Sustainable Development Goals

Obiettivo 12. Garantire modelli sostenibili di produzione e di consumo


Total cost: € 42,510.00
Total contribution: € 42,510.00
PoliTo total cost: € 42,510.00
PoliTo contribution: € 42,510.00