Acoustical Anisotropy Evaluation of Pure Titanium plate Using Neural Network

신경회로망을 이용한 순 티타늄판재의 음향이방성 평가

  • Park, Hee-Dong (Department of Mechanical Engineering, Soongsil Univ.) ;
  • Yun, In-Sik (Department of Mechatronics. Kyonggi National University of Science and Technology) ;
  • Yi, Won (Department of Mechanical Engineering, Soongsil Univ.)
  • 박희동 (숭실대학교 기계공학과) ;
  • 윤인식 (경기과학기술대학교 메카트로닉스과) ;
  • 이원 (숭실대학교 기계공학과)
  • Received : 2011.03.16
  • Accepted : 2011.07.05
  • Published : 2011.09.01


This research quantitatively confirmed an acoustical anisotropy that exists in a pure titanium plate from the signal of ultrasonic flow detection and suggested a new way to evaluate the acoustical anisotropy by inputting acquired characteristic of ultrasound signal into the neutral network. Using the fact with the suggested method that the characteristic of ultrasound signal is shown differently depending on the pure titanium plate's rolling direction, the neural network was constructed by extracting the characteristic that can decide each direction of $0^{\circ}$, $45^{\circ}$, and $90^{\circ}$ with waveform analysis program. As a result of inputting the characteristic of ultrasound signal acquired from a random rolling direction into the neural network that was built like this, it showed a pattern recognition rate higher than 95% on directions of $0^{\circ}$, $45^{\circ}$, $90^{\circ}$.



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