A5.1 - Simulation assisted ultrasonic defect characterization in heavy rotor forgings
- AMA Conferences 2015
2015-05-19 - 2015-05-21
- Proceedings SENSOR 2015
- A5 - Acoustic Sensing
- K. Fendt, H. Mooshofer - Siemens AG, Munich (Germany), S. Rupitsch, H. Ermert - Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen (Germany)
- 108 - 112
For heavy rotor components of turbines and generators, rigorous ultrasonic inspection during the manufacturing process is mandatory. Its purpose lies in detection and classification of flaws, with the results providing a basis for fracture mechanical predictions. In this contribution, a new method for classifying ultrasonic indications is presented: Ultrasonic data is reconstructed by means of Synthetic Aperture Focusing Technique (SAFT), and indication positions are extracted. Next, we perform numerical simulations containing model reflectors at the determined positions. The defect model parameters are iteratively modified to minimize the difference between measured and simulated inspection data. This leads to a set of defect parameters which best match the flaw indications. The method is applied to laboratory and forging blank inspection data, where it correctly determines defect characteristics.