MUSIC | MUlti-layers control&cognitive System to drive metal and plastic production line for Injected Components
BOREALIS was born from the needs of those users that have started using additive manufacturing for small volumes production.
The main needs Borealis answers are : Big dimensions of the component to be produced, High deposition rate, Efficiency of the production
See also D2.6 Lessons Learned and updated requirements report II
1. The COMPOSITION Marketplace Management System shall enable stakeholder to gain access to the COMPOSITION open marketplace.
2. COMPOSITION Marketplace(s) should have possibility of restricted access.
3. The line visualization shall compare the actual processed units to the target ones.
4. Alarms/Notifications are forwarded to subscribers depending on their impact level.
5. It must be possible to reset an alert when the necessary measures have been taken.
6. Ecosystem components should be deployed as Docker images.
7. Agents shall be writable in any programming language.
8. The Decision Support System shall import data coming from the simulation and prediction engines.
9. Supplying companies register their products/services in specific topic(s) within the ecosystem.
10. The needs and requirements of companies shall be registered/published within the ecosystem.
Three industrial use cases have been addressed, corresponding to the Energy, Aerospace and Naval sectors.
On each use case, several robot manufacturing operation opportunities have been identified, with a large variety of applications that ensures industrial demonstrators on-site at the facilities of each one of the involved end-users.
The following operations have been addressed in the project:
Each one of these insdustrial scenarios requires of different operational functionalities provided by each one of the CORO-modules. In the first two of them, the COROMA module must be able to localice and idetify the workpiece, generate the required trajectories for machining or inspection, execute the operations on it, avoiding collisions with objects and operators, and improving the overall performance by learning techinques. The Naval Sector applications sets the bar one step higher, as robot mobility along the workshops must be added in order to find a workpiece bigger than the robotic system itself.
For being positively affected by the use of the FAR-EDGE Platform, use cases must have one or more of the following high-level requirements:
Neco use case requirements:
The following is a list about the most notable requirements NECO has identified and which the new platform developed at the Z-Fact0r project must fulfil:
The following parameters constitute the complete list of design parameters periodically measured after the grinding operation of taps:
Further information about them will feature next at the 21, once the tap geometries which have been selected to constitute the Z-Fact0r use cases and defect types have been defined.
A survey among the customers of PROGRAMS industrial partners confirms that Predictive Maintenance practice will be effectively exploited ONLY IF it is:
In addition Predicitive maintenance solutions must be flexible enough to allow different objectives, like the avoidance of sudden failure or the limitation of performace degradation.
The ROSSINI project foresees 3 use-cases related to Domestic Appliances Assembly (WHIRLPOOL), Electronic Components Production (SCHINDLER) and Food Products Packaging (IMA). The 1st use case aims at implementing real and efficient HRC which will allow to enhance human health and satisfaction in workplaces combining automation and the lean manufacturing concept thus reducing costs and avoiding dangerous operations for workers (requirement: improving safety in HRC and maintain the efficiency of the production line). The 2nd use case wants to redesign the actual production line where individually separate but related items are grouped (the kitting step), packaged (the assembly step) and supplied together as one unit (requirement: strict collaboration between human operators and robot). The 3rd use case will leverage on a mobile robotic solution and an advanced smart sensing system to improve its current robotic solution for assisting operator in machine monitoring and maintenance (requirement: improve system performance in terms of speeds, handled objects and capabilities, whilst maintain operator safety)
IDS connectivity and data repository configuration
COALA has three application cases that cover discrete manufacturing and process manufacturing: White goods, Textile and Detergent production. Each case provides one challenge where a potential solution has a significant economic value. The cases are real production environments and they will provide 1) key requirements for the COALA solution and 2) performance indicators for its evaluation.
The same aproach is valid of any multi-stages production chain to produce parrt for all industrial sectors.