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Intelligent Engineering Systems through Artificial Neural Networks Volume 18

Cihan H. Dagli
Cihan H. Dagli
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ASME Press
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Today's high cost of petroleum imposes much stricter requirements on aircraft engines for fuel-efficiency. Engines must operate within appropriate temperature ranges thus necessitating cooling of engine parts achieved through millions of laser-drilled holes in turbine engine blades and vanes. In order to maximize the benefits available from expensive laser drilling equipment, it is necessary to have the capability to predict from drill settings hole geometry and number of laser pulses required for puncturing material (“breakthrough”). There are no accurate and reliable analytic models available today for laser-drilled hole characterization, hence many laser drilling systems operate essentially on a trial and...

1. Introduction & Related Work
2. Experimental Set Up and Procedure
3. Neural Networks and Prediction of Drilling Acoustic Signature
4. Results
5. Conclusions
6. Acknowledgements
7. Bibliography
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