대한기계학회:학술대회논문집 (Proceedings of the KSME Conference)
- 대한기계학회 2001년도 추계학술대회논문집A
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- Pages.412-418
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- 2001
신경망 기법을 이용한 구멍뚫기법에서의 구멍 편심오차 보정
Correction of Error due to Hole Eccentricity in Hole-drilling Method Using Neural Network
- 발행 : 2001.11.01
초록
The measurement of residual stresses by the hole-drilling method has been commonly used to evaluate residual stresses in structural members. In this method, eccentricity can usually occur between the hole center and rosette gage center. In this study, the error due to the hole eccentricity is corrected using the neural network. The neural network has trained training examples of normalized eccentricity, eccentric direction and direction of maximum stress at eccentric case using backpropagation learning process. The trained neural network could corrected the error of measured residual stress in experiments with hole eccentricity. The proposed neural network is very useful for correction of the error due to hole eccentricity in hole-drilling method.
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