01 May 2023
Progetto IAREPAM - Intelligenza Artificiale per la Realizzazione Efficiente di una Protesi in Additive Manufacturing
Objectives
- Propose and deploy a cloud-based database architecture and analysis algorithms for manufacturing (both process and shopfloor) that can be extended to other manufacturing domains;
- Apply AI (Machine Learning and Deep Learning) strategies aimed at obtaining quantitative predictive models to support process control and quality control for effective and efficient machine tool machining of prostheses in additive manufacturing;
- Validate predictive maintenance systems through application of specific sensors interconnected to IoT infrastructure;
- Introduce and validate non-destructive testing systems for the purpose of extracting/manipulating geometric, mechanical, microstructural, and morphological information for retroactive calibration of manufacturing processes;
- Extend current design rules for components with variable geometry and materials within a given range of geometric and mechanical characteristics (envelope).
