Estimation of the Ground Surface Roughness Applied by Acoustic Emission Signal

AE 신호를 이용한 연삭 가공물의 표면 거칠기 예측

  • 곽재섭 (부산대학교 대학원/기계기술연구소) ;
  • 송지복 (부산대학교 기계공학부/기계기술연구소)
  • Published : 2000.04.01

Abstract

An in-process estimation of the ground surface roughness is a bottle-neck and an essential field in conventional grinding operation. We defined the dimensionless average roughness factor (D.A.R.F) that exhibits a roughness characteristics of ground surface. The D.A.R.F was composed easily of the absolute average and the standard deviation values which were the analytic parameters of the acoustic emission (AE) signal generated during the machining process. The theoretical equation between the surface roughness and the D.A.R.F has been derived from the linear regressive analysis and verified its availability through the experimentation on the surface grinding machine.

Keywords

References

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