Tool wear monitoring and breakage detection based on intelligent filtering
暂无分享,去创建一个
Abstract Several physical quantities can be used for indirect tool wear monitoring and breakage detection. Cutting forces are appropriate, since they determine the suitability of a tool for cutting. However, disturbances make the accurate and fast tool condition monitoring based upon force analysis difficult. To eliminate disturbances averaging or filtering within a predetermined bandwidth has often been applied. A new method of decomposing the force signal into components having close relationships with physical phenomena taking place during cutting is presented. The term “intelligent filtering” denotes decomposition based on on-line identification of model(s) of the cutting process. Application of “intelligent filtering” for the milling process with two cutting insert tools is discussed.
[1] K. F. Eman,et al. Cutting Dynamics Identification by Dynamic Data System (DDS) Modeling Approach , 1985 .
[2] E. Merchant,et al. Modelling of Cutting Force Pulsation in Face-Milling , 1983 .
[3] Richard E. DeVor,et al. MECHANISTIC MODEL FOR THE PREDICTION OF THE FORCE SYSTEM IN FACE MILLING OPERATIONS. , 1984 .