FPGA based failure monitoring system for machining processes

To be adapted in an easy and economical manner to several machining processes is a desired characteristic in any proposed tool condition monitoring system so as to detect or avoid failures in machine tools. Many modern rotating machines have a servodriver which may, without sensors, acquire a current signal which is directly related to the cutting forces and then be correlated to the cutting tool conditions. Most of the reported systems are designed to work only in one machining process; yet the novelty of this paper is the fact of presenting a hardware signal processing unit implemented in a single field-programmable gate array (FPGA) for acquisition, conditioning, and basic signal monitoring in several machining processes. The system has been proven in industrial processes as well as in laboratories with satisfactory results in both cases. This model is reconfigurable and scalable so that it may be adapted to diverse conditions as an economical stand-alone unit since it does not require either computers nor microprocessors.

[1]  P. K. Venuvinod,et al.  Feed Cutting Force Estimation from the Current Measurement with Hybrid Learning , 2000 .

[2]  Jun Ni,et al.  Adaptive model estimation of machine-tool thermal errors based on recursive dynamic modeling strategy , 2005 .

[3]  Jeffrey G. Hemmett,et al.  Robust Feedrate Selection for 3-Axis NC Machining Using Discrete Models , 2001 .

[4]  Gregory C. Smith,et al.  A method for detecting tool wear on a CNC lathe using a doppler radar detector , 2005 .

[5]  Kazuo Mori,et al.  Diagnosing Cutting Tool Conditions in Milling Using Wavelet Transform , 1994 .

[6]  A. Poularikas.  The transforms and applications handbook , 2000 .

[7]  Ira Krepchin,et al.  Texas Instruments Inc. , 1963, Nature.

[8]  Roger Ivor Grosvenor,et al.  Sweeping filters and tooth rotation energy estimation (TREE) techniques for machine tool condition monitoring , 2006 .

[9]  Y. S. Tarng,et al.  Milling cutter breakage detection by the discretewavelet transform fn1 fn1 This paper has not beenpu , 1999 .

[10]  A. Geddam,et al.  A multi-sensor approach to the monitoring of end milling operations , 2003 .

[11]  Min-Yang Yang,et al.  Tool wear monitoring system for CNC end milling using a hybrid approach to cutting force regulation , 2007 .

[12]  Fritz Klocke,et al.  Development of a tool wear-monitoring system for hard turning , 2003 .

[13]  Jun Wang,et al.  Real-time tool condition monitoring using wavelet transforms and fuzzy techniques , 2000, IEEE Trans. Syst. Man Cybern. Part C.

[14]  Erkki Jantunen,et al.  A summary of methods applied to tool condition monitoring in drilling , 2002 .

[15]  Abdullah Kurt,et al.  The effect of feed rate on the cutting forces when machining with linear motion , 2004 .

[16]  Romero-Troncoso René de Jesús,et al.  FPGA based on-line tool breakage detection system for CNC milling machines , 2004 .

[17]  Paul William Prickett,et al.  An overview of approaches to end milling tool monitoring , 1999 .

[18]  S. Tso,et al.  Drill wear monitoring based on current signals , 1999 .

[19]  Xiaoli Li,et al.  Current-sensor-based feed cutting force intelligent estimation and tool wear condition monitoring , 2000, IEEE Trans. Ind. Electron..

[20]  Rene de Jesus Romero-Troncoso,et al.  Sensorless tool failure monitoring system for drilling machines , 2006 .

[21]  Xiaoli Li,et al.  Discrete wavelet transform for tool breakage monitoring , 1999 .

[22]  D. E. Dimla,et al.  Sensor signals for tool-wear monitoring in metal cutting operations—a review of methods , 2000 .

[23]  Andreas Albrecht,et al.  High frequency bandwidth cutting force measurement in milling using capacitance displacement sensors , 2005 .

[24]  Aitzol Lamikiz,et al.  Recording of real cutting forces along the milling of complex parts , 2006 .

[25]  Xiaoli Li,et al.  Real-Time Prediction of Workpiece Errors for a CNC Turning Centre, Part 3. Cutting Force Estimation Using Current Sensors , 2001 .

[26]  Xiaoli Li.  Real-Time Prediction of Workpiece Errors for a CNC Turning Centre, Part 4. Cutting-Force-Induced Errors , 2001 .