Summary
The main objective of the ASSALA project is to develop a methodology to predict defect generation likelihood induced by the interaction of robot inaccuracies and thermal effects during the Laser Wire Deposition (LWD) process of Titanium integrating deterministic and advanced statistical models applied on the manufacturing of new generation aero engine structures. The novel activities to carry out during the project will be based on:
- The development of a tool focused on the automatic path generation applied on to robotic LWD based on 5 degree of freedom deposition.
- A dynamic robot model to compensate and estimate through Monte Carlo simulation the temporal positioning accuracy.
- A fast and precise computation algorithm that will allow to solve the time consuming dynamic thermo-mechanical phenomena of the solidification process based on Finite Element Modelling through model order reduction strategies.
- Implementation of process monitoring (thermal and visible) and control tools (CAM correction) for the implementation of adaptive control strategies which will correct the component distortion.
- Integration of the developed algorithms in a methodology to predict the failure probability based on Monte Carlo statistical tools.
- Testing and validation of the developed simulation tools and implemented adaptive control strategies.
ASSALA aims at contributing to achieve more efficient and robust LWD processes provided that the end effector-to-component relative distance plays a major role in the stability of the process and in the generation of defects such as cracks or flaws that can induce the rejection of the deposits due to the critical structural nature of the aero engine components.
- The development of a tool focused on the automatic path generation applied on to robotic LWD based on 5 degree of freedom deposition.
- A dynamic robot model to compensate and estimate through Monte Carlo simulation the temporal positioning accuracy.
- A fast and precise computation algorithm that will allow to solve the time consuming dynamic thermo-mechanical phenomena of the solidification process based on Finite Element Modelling through model order reduction strategies.
- Implementation of process monitoring (thermal and visible) and control tools (CAM correction) for the implementation of adaptive control strategies which will correct the component distortion.
- Integration of the developed algorithms in a methodology to predict the failure probability based on Monte Carlo statistical tools.
- Testing and validation of the developed simulation tools and implemented adaptive control strategies.
ASSALA aims at contributing to achieve more efficient and robust LWD processes provided that the end effector-to-component relative distance plays a major role in the stability of the process and in the generation of defects such as cracks or flaws that can induce the rejection of the deposits due to the critical structural nature of the aero engine components.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/831857 |
| Start date: | 01-04-2019 |
| End date: | 31-10-2021 |
| Total budget - Public funding: | 599 931,00 Euro - 599 931,00 Euro |
Cordis data
Original description
The main objective of the ASSALA project is to develop a methodology to predict defect generation likelihood induced by the interaction of robot inaccuracies and thermal effects during the Laser Wire Deposition (LWD) process of Titanium integrating deterministic and advanced statistical models applied on the manufacturing of new generation aero engine structures. The novel activities to carry out during the project will be based on:- The development of a tool focused on the automatic path generation applied on to robotic LWD based on 5 degree of freedom deposition.
- A dynamic robot model to compensate and estimate through Monte Carlo simulation the temporal positioning accuracy.
- A fast and precise computation algorithm that will allow to solve the time consuming dynamic thermo-mechanical phenomena of the solidification process based on Finite Element Modelling through model order reduction strategies.
- Implementation of process monitoring (thermal and visible) and control tools (CAM correction) for the implementation of adaptive control strategies which will correct the component distortion.
- Integration of the developed algorithms in a methodology to predict the failure probability based on Monte Carlo statistical tools.
- Testing and validation of the developed simulation tools and implemented adaptive control strategies.
ASSALA aims at contributing to achieve more efficient and robust LWD processes provided that the end effector-to-component relative distance plays a major role in the stability of the process and in the generation of defects such as cracks or flaws that can induce the rejection of the deposits due to the critical structural nature of the aero engine components.
Status
CLOSEDCall topic
JTI-CS2-2018-CfP08-ENG-03-23Update Date
27-10-2022
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