An Estimation of Tool Failure by Means of AE Signal and Surface Roughess in Turning Machining

선삭가공에 있어서 AE 신호와 표면 거칠기에 의한 공구손상에 대한 평가

  • Han, Eung-Gyo (Dept. of Precision Mechanical Engineering, Hanyang University) ;
  • Lee, Beom-Seong (Precision Mechanical Engineering Graduate School of Hanyang University) ;
  • Park, Jun-Seo (Precision Mechanical Engineering Graduate School of Hanyang University)
  • 한응교 (한양대학교 정밀기계공학과) ;
  • 이범성 (한양대학교 정밀기계공학과 대학원) ;
  • 박준서 (한양대학교 정밀기계공학과 대학원)
  • Published : 1992.12.01

Abstract

In this study, using in-process tool failure detecting system by AE method in turning machining, we measured AE signal from the tool, and the surface roughness of workpiece and then compared it with tool wear. As a result, we found that tool failure can be predicted by means of surface roughness of the workpiece and it can be predicted more precisely by the arithmetical average roughness (Ra) than by the maximum height of irregularities (Rmax) of the workpiece. Also, we found that we could judge whether it was sudden failure or the wear by means of the shape of AE signal and the range distri- bution of power spectrum frequency when tool danage was happened.

Keywords