A cutting damping index for real-time monitoring of tool wear in turning

In order to estimate the amount of tool flank wear in real time during stable turning operations, tool wear in the machining of stainless steel was studied in terms of an experimental index related to cutting damping in the cutting zone, as measured directly with a developed device. The correlation between tool wear and the experimental index was analysed. Results show that the experimental index can be used as a reliable indicator to identify tool flank wear in real time during machining operations.

[1]  David Dornfeld,et al.  Sensor Integration Using Neural Networks for Intelligent Tool Condition Monitoring , 1990 .

[2]  Sudhakar M. Pandit,et al.  Variation in friction coefficient with tool wear , 1983 .

[3]  Ruxu Du,et al.  Tool condition monitoring in turning using fuzzy set theory , 1992 .

[4]  Y. L. Yao,et al.  Modelling of multivariate time series for tool wear estimation in finish-turning , 1992 .

[5]  W. S. Lau,et al.  In-process drill wear and breakage monitoring for a machining centre based on cutting force parameters , 1992 .

[6]  Y. S. Liao,et al.  Development of a Monitoring Technique for Tool Change Purpose in Turning Operations , 1986 .

[7]  Shivakumar Raman,et al.  Detection of tool flank wear using acoustic signature analysis , 1987 .

[8]  Andrew Z. Szendrovits,et al.  An inventory model for interrupted multi-stage production , 1987 .

[9]  Paul K. Wright,et al.  Adaptive Control in Machining—A New Approach Based on the Physical Constraints of Tool Wear Mechanisms , 1983 .

[10]  S. B. Rao,et al.  Tool Wear Monitoring Through the Dynamics of Stable Turning , 1986 .

[11]  Dong Y. Jang,et al.  A unified optimization model of a machining process for specified conditions of machined surface and process performance , 1992 .

[12]  E. K. Levy,et al.  A study of the relationship between remote thermocouple temperatures and tool wear in machining , 1977 .

[13]  J. Tlusty,et al.  A Critical Review of Sensors for Unmanned Machining , 1983 .

[14]  R N Arnold,et al.  Cutting Tools Research: Report of Subcommittee on Carbide Tools: The Mechanism of Tool Vibration in the Cutting of Steel , 1946 .

[15]  L. C. Lee,et al.  On the correlation between dynamic cutting force and tool wear , 1989 .

[16]  David Dornfeld,et al.  Tool Wear Detection Using Time Series Analysis of Acoustic Emission , 1989 .

[17]  Dong Y. Jang,et al.  Analysis of the Correlation Between Tool Wear and Cutting Damping Generated in the Machining Process , 1994 .

[18]  A. Galip Ulsoy,et al.  DYNAMIC STATE MODEL FOR ON-LINE TOOL WEAR ESTIMATION IN TURNING. , 1987 .

[19]  D. Spurgeon,et al.  In-Process Indication of Surface Roughness Using a Fibre-Optics Transducer , 1975 .

[20]  G. M. Zhang,et al.  Dynamic Generation of Machined Surfaces Part 1: Description of a Random Excitation System , 1991 .

[21]  A. Galip Ulsoy,et al.  On-Line Flank Wear Estimation Using an Adaptive Observer and Computer Vision, Part 1: Theory , 1993 .

[22]  S. M. Pandit,et al.  A Data Dependent Systems Strategy of On-Line Tool Wear Sensing , 1982 .

[23]  S. Smith,et al.  Use of Audio Signals for Chatter Detection and Control , 1992 .

[24]  J. I. El Gomayel,et al.  On-Line Tool Wear Sensing for Turning Operations , 1986 .

[25]  A. Galip Ulsoy,et al.  Flank Wear Estimation Under Varying Cutting Conditions , 1991 .

[26]  Li Dan,et al.  Tool wear and failure monitoring techniques for turning—A review , 1990 .