QU4LITY | Digital Reality in Zero Defect Manufacturing
01-01-2019
-31-07-2022
01-01-2019
-31-07-2022
01-01-2019
-30-06-2023
01-11-2019
-31-10-2023
01-11-2019
-31-10-2023
01-10-2019
-31-03-2023
01-10-2019
-31-03-2024
01-12-2019
-30-11-2022
01-12-2019
-31-05-2022
15-10-2019
-14-10-2022
01-07-2020
-31-12-2023
The availability of industrial-product capacity will facilitate the implementation of MaaS, which will allow manufacturing SMEs to access advanced manufacturing facilities within their regions or to distribute their orders across different ones.
01-07-2020
-30-06-2024
01-10-2020
-30-09-2024
01-01-2021
-31-12-2023
01-11-2020
-31-10-2023
01-10-2020
-31-03-2024
01-10-2020
-30-09-2024
01-01-2021
-30-06-2024
01-05-2022
-30-04-2025
01-06-2022
-31-05-2025
01-10-2022
-31-03-2026
01-01-2023
-31-12-2026
01-06-2022
-28-02-2025
01-01-2023
-31-12-2025
01-01-2023
-31-12-2025
01-01-2023
-31-12-2025
10-09-2020
-09-09-2022
07-11-2017
-30-12-2020
01-10-2022
-30-09-2026
The OPTIMAL approach involves various disciplines, which interact with each other in order to achieve the project objectives. Material research and photochemistry is needed to develop the suitable photoresists (MRT). Laser technology knowledge (JOR, ISE) is required for developing novel laser lithography methods, machines, and processes. The electronics finds its application in the optical based sensors for in-line monitoring, controlling the laser sources and patterning (ILC, DPX). The software engineering expertise (UPR) completes the required skills for the development of self-learning algorithms for generating the virtual photomasks. Mechanical and environmental engineering deal with the equipment and manufacturing processes and their life cycle assessment (JOR). Experts in training and communication science (ILC, UPR) will design workshops and training materials to explain and promote the developed technologies to broad public and stakeholders.
01-10-2022
-30-09-2025
01-09-2022
-31-08-2025
test