- Posted by Riccardo Gnudi
- On July 30, 2021
- 0 Comments
- Architecture, Deliverables, HW&SW, iQonic, Partners, Project activity
Many challanges affect opto-electronics and photonics industry nowadays, including the obsolescence of current manufacturing processes, the concurrent evolution of equipment and instrumentation, an higher request for customization and individualization of produtcion. iQonic answers to these challanges thorugh the study and development of a multi-sensorial component manufacturing and photonic system assembly hardware and software environment for zero-defect manufacturing.
Based on laser photonics use cases, such as quantum cascade lasers, high power diode laser stacks and others, a sensorial network aligned with the current industrial internet of things architectures acquires production defect data at the interface of components manufacturing and system assembly hardware. This data represents descriptors for main sources of defects, in particular contamination and surface damages, as well as component irregularities, such as geometry deviations. The “near” real-time data, in conjunction with historian data, based on artificial intelligence (AI) and a decision support system (DSS), allows for error compensation throughout the complete manufacturing chain, early malfunction detection on the component and system level, component-rework and re-assessment.
Aiming for zero-defect manufacturing during various stages of production, a key performance indicator (KPI) of the iQonic architecture is to lift the overall photonics assembly yield to 80%, decreasing the configuration time of the production environment and enabling for the use of recycled parts.
The full system is described in the free iQonic System Architecture Report.