• Title/Summary/Keyword: Eccentricity error

Search Result 67, Processing Time 0.033 seconds

Compensation of the Error due to Hole Eccentricity of Hole-drilling Method in Uniaxile Residual Stress Field Using Neural Network (신경망 기법을 이용한 1축 잔류응력장에서 구멍뚫기법의 구멍편심 오차 보정)

  • Kim, Cheol;Yang, Won-Ho;Cho, Myoung-Rae
    • Transactions of the Korean Society of Mechanical Engineers A
    • /
    • v.26 no.12
    • /
    • pp.2475-2482
    • /
    • 2002
  • 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 compensated 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 compensated the error of measured residual stress in experiments with hole eccentricity. The proposed neural network is very useful for compensation of the error due to hole eccentricity in hole-drilling method.

Correction of Error due to Hole Eccentricity in Hole-drilling Method Using Neural Network (신경망 기법을 이용한 구멍뚫기법에서의 구멍 편심오차 보정)

  • Kim, Cheol;Yang, Won-Ho;Cho, Myoung-Rae;Heo, Sung-Pil
    • Proceedings of the KSME Conference
    • /
    • 2001.11a
    • /
    • pp.412-418
    • /
    • 2001
  • 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.

  • PDF

Development of Displacement Measuring Sensor for Roll Eccentricity Contro1 at Hot Strip Mill (롤 편심제어를 위한 편심 측정장치 개발)

  • 전종학
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 2000.10a
    • /
    • pp.167-167
    • /
    • 2000
  • This study aims at the development of REC sensor causing the gauge error in the hot strip rolling process, and the improvement of the hydraulic AGC (Automatic Gauge Control) system. The gauge error outbreaks from the various reasons, however, mainly the roll eccentricity is considered to cause a such kind of error. In the study, the REC (Roll Eccentricity Control System) sensor is designed using sensor An On - line test of the system shows the comprehensive effects of controlling the gauge error of the hot strip. On - Line test shows the possibility of enhancing the accuracy for gauge.

  • PDF

Prediction for the Error due to Role Eccentricity in Hole-drilling Method Using Backpropagation Neural Network (역전파신경망을 이용한 구멍뚫기법의 편심 오차 예측)

  • Kim, Cheol;Yang, Won-Ho;Heo, Sung-Pil;Chung, Ki-Hyun
    • Transactions of the Korean Society of Mechanical Engineers A
    • /
    • v.26 no.3
    • /
    • pp.436-444
    • /
    • 2002
  • 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 predicted using the artificial neural network. The neural network has trained training examples of stress ratio, normalized eccentricity, off-centered direction and stress error using backpropagation learning process. The prediction results of the error using the trained neural network are good agreement with FE analyzed ones.

Prediction for the Error of Hole Eccentricity in Hole-drilling Method Using Neural Network (신경회로망을 이용한 구멍뚫기법의 편심 오차 예측)

  • Kim, Cheol;Yang, Won-Ho;Chung, Ki-Hyun;Hyun, Cheol-Seung
    • Proceedings of the KSME Conference
    • /
    • 2001.06a
    • /
    • pp.956-963
    • /
    • 2001
  • 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 predicted using the artificial neural network. The neural network has trained training examples of stress ratio, normalized eccentricity, off-centered direction and stress error using backpropagation loaming process. The prediction results of the error using the trained neural network are good agreement with FE analyzed ones.

  • PDF

Influence of the Hole Eccentricity in Residual Stresses Measurement by the Hole-drilling Method (구멍뚫기법에 의한 잔류응력 측정시 구멍 편심의 영향)

  • Kim, Cheol;Seok, Chang-Seong;Yang, Won-Ho
    • Transactions of the Korean Society of Mechanical Engineers A
    • /
    • v.24 no.8 s.179
    • /
    • pp.2059-2064
    • /
    • 2000
  • The measurement of residual stresses by the hole-drilling method has been commonly used to evaluate residual stresses in structural members. In this method, one of the source of error is due to the misalignment between the drilling hole and strain gage center. This paper presents a finite element analysis of the influence of such misalignment for the uniaxial residual stress field. The stress error increases proportionally to hole eccentricity. The correction equations which easily obtain the residual stress taking account of the hole eccentricity are derived. The stress error due to the hole eccentricity decreases by approximately one percent using this equations.

Prediction of Error due to Eccentricity of Hole in Hole-Drilling Method Using Neural Network

  • Kim, Cheol;Yang, Won-Ho
    • Journal of Mechanical Science and Technology
    • /
    • v.16 no.11
    • /
    • pp.1359-1366
    • /
    • 2002
  • The measurement of residual stresses by the hole-drilling method has been 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, we obtained the magnitude of the error due to eccentricity of a hole through the finite element analysis. To predict the magnitude of the error due to eccentricity of a hole in the biaxial residual stress field, it could be learned through the back propagation neural network. The prediction results of the error using the trained neural network showed good agreement with FE analyzed results.

A Study on Detection of Runout Eccentric Error Using CCS Sensor at CNC Lathe (CNC선반에서 주축변위센서를 이용한 가공편심오차의 검출에 관한 연구)

  • 양재생;맹희영
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
    • /
    • 2002.10a
    • /
    • pp.468-473
    • /
    • 2002
  • This paper presents the methodology for measuring eccentricity of the cylindricaliy machined part using CCS(Cylindrical Capacity Spindle Sensor) signal in the CNC turning process. In order to investigate the relationships between CCS orbits and eccentricities, the initial conditions for various eccentricity state and machining process is applied to the experimental strategy. AS a result, it is considered the linearities of CCS signal and magnitude of eccentricity of machined cylindrical surfaces based on the possibility as a automatic detection apparatus for the CNC lathe.

  • PDF

AJM을 이용한 HDM에 의한 잔류응력 계측에 관한 연구 2

  • 최병길;박영조;이택순;전상윤
    • Journal of Welding and Joining
    • /
    • v.8 no.4
    • /
    • pp.76-82
    • /
    • 1990
  • Lots of research works have been done to improve the accuracy of the hole drilling method to measure residual stress by many investigators. In this study, first, size effect of specimen was analyzed based on the solution of hole in a strip under tension. If the ratio of hole diameter tothe strip width is less than 0.2, the stress distribution around hold may be given from the solution of hole in an infinite plate. Second, the residual stress above $0.6{\sigma}_y$(yield stress) may be measured less than the actual stress by 10-15 percent. Third, eccentricity of hole relative to the rosette center effects on the accuracy of residual stress measurements by 10 percent. The error due to eccentricity of hole can be corrected by the iteration method or the direct method.

  • PDF

Using a Disturbance Observer for Eccentricity Compensation in Optical Storage Systems

  • Kim, Kyung-Soo
    • Transactions on Control, Automation and Systems Engineering
    • /
    • v.4 no.4
    • /
    • pp.319-323
    • /
    • 2002
  • In this paper, we consider the track-following control problem in the optical data storage systems in the presence of the eccentricity. The eccentricity results in the radial deviation of the objective lens so that it degrades the reliability of the data decoding system. To cope with the eccentricity, an adaptive disturbance compensation technique is newly proposed in the time domain based on a disturbance observer of reduced order, which effectively estimates the low frequency components of the disturbance. The proposed compensator is simply added to the conventional feedback control. The error dynamics of the observer and the sensitivity analysis are given to illustrate the effectiveness of the proposed approach. Finally, through experiments in an optical storage system, the feasibility of the proposed approach is verified.