New approach for thermal spray process control with an artificial neural network in aero-engines
- Resource Type
- Conference
- Authors
- Abdullahi, H.; Hertter, M.; Sarkodie, T.
- Source
- Proceedings World Automation Congress, 2004. Automation Congress, 2004. Proceedings. World. 16:329-340 2004
- Subject
- Robotics and Control Systems
Computing and Processing
Transportation
Signal Processing and Analysis
Thermal spraying
Process control
Artificial neural networks
Intelligent networks
Coatings
Engines
Automatic control
Blades
Plasma simulation
Prototypes
Artificial neural network
Aero-engines
Thermal spray
Coating
process control
- Language
Thermal spray coatings on basic materials of aero-engine components arc indispensable for prolonging life and improving efficiency. Thermal spray processes are extremely complex; therefore it is impossible to represent them accurately enough in a traditional model, hence some reliable simulation. In this research work it will be shown how such processes can be represented with an artificial neural network that allows the thermal spray process to be controlled automatically. Data from plasma spray processes on turbo-compressor casings is used to train and verify the neural network. The results of the first prototype for a closed loop arc very promising.