Machine Optimisation Learning MachOpt
| Reference number | |
| Coordinator | CHALMERS TEKNISKA HÖGSKOLA AKTIEBOLAG - Institutionen för produkt- och produktionsutveckling |
| Funding from Vinnova | SEK 2 180 000 |
| Project duration | April 2016 - December 2016 |
| Status | Completed |
Purpose and goal
The task for this project would be to develop methods and tools to combine efficient in-line measurement with decision support system for manual or automated process adjustments or rework activities. A secondary task for this project will be to develop new flexible tooling technology to enable jig corrections derived from decisions on geometry adjustments. In order to increase quality and efficiency, it is necessary both to detects errors and take good corrective decisions.
Expected results and effects
The results from the project will be shown in a physical demonstrator at Chalmers, where a conceptual process has been built including an assembly cell and an verification cell. In the demonstrator, the system can automatically detect geometry deviations, take decisions of corrective actions, and do the necessary process change.
Planned approach and implementation
The demonstration project consists of five different work packages (besides a report package). These work packages address different areas which are necessary to fulfill the overall scope of the project development of an intelligent robot based in-line control system including self-adjusting capabilities. The system shall both be able to detect geometrical defects, propose adjustments and adjust simple process parameters. The project partners are experts within the different areas with the scope of the project and will be responsible for the different WP respectively.