Monitoring and processing signal applied in machining processes – A review

Abstract In machining processes several phenomena occur during material cutting. These phenomena can affect the production through the reduction of quality or accuracy, or by increasing costs (tools, materials, time). Thus, an understanding of machining phenomena is needed not only to define the cutting parameters for maximizing production, but also to ensure worker safety. An easy way to identify these phenomena is by monitoring machining processes, such as the measurement of cutting force, temperature and vibration. The acquired signal can have information about tool life, quality of cutting and defects in the workpiece. This review paper discusses the first steps involved in choosing and defining various techniques that may be used to monitor machining processes. Furthermore, this paper also outlines the techniques to acquire and process the signals of the monitoring processes. Hence, the objective of this paper is to help the reader understand the procedures for monitoring machining processes, and define methods, parameters, targets and other factors involved in doing so.

[1]  P. S. Heyns,et al.  WEAR MONITORING IN TURNING OPERATIONS USING VIBRATION AND STRAIN MEASUREMENTS , 2001 .

[2]  Kim Seng Lee,et al.  On-line tool-wear monitoring using a PC , 1992 .

[3]  Yaguo Lei,et al.  Chatter identification in end milling process using wavelet packets and Hilbert–Huang transform , 2013 .

[4]  Dongbiao Zhao,et al.  A comparative study on dry milling and little quantity lubricant milling based on vibration signals , 2010 .

[5]  Yean-Ren Hwang,et al.  A cutter tool monitoring in machining process using Hilbert–Huang transform , 2010 .

[6]  K. Mori,et al.  Prediction of small drill bit breakage by wavelet transforms and linear discriminant functions , 1999 .

[7]  Elijah Kannatey-Asibu,et al.  Analysis of Sound Signal Generation Due to Flank Wear in Turning , 2000, Manufacturing Engineering.

[8]  Enrique Alegre,et al.  A evaluation of surface roughness classes by computer vision using wavelet transform in the frequency domain , 2012 .

[9]  Feng Ding,et al.  End milling tool breakage detection using lifting scheme and Mahalanobis distance , 2008 .

[10]  D. R. Salgado,et al.  In-process surface roughness prediction system using cutting vibrations in turning , 2009 .

[11]  Mohamed A. Elbestawi,et al.  Predicting the effect of vibration on ultraprecision machining surface finish as described by surface finish lobes , 2009 .

[12]  Zhenhu Liang,et al.  Complexity measure of motor current signals for tool flute breakage detection in end milling , 2008 .

[13]  Marc Thomas,et al.  Indicators for monitoring chatter in milling based on instantaneous angular speeds , 2014 .

[14]  Bin Li,et al.  Study on the cutting force of cylindrical turning with novel restricted contact tools , 2013 .

[15]  Alan Hase,et al.  The relationship between acoustic emission signals and cutting phenomena in turning process , 2014 .

[16]  D. R. Salgado,et al.  An approach based on current and sound signals for in-process tool wear monitoring , 2007 .

[17]  Robert Bauer,et al.  Variable heat flux in numerical simulation of grinding temperatures , 2012 .

[18]  D. R. Salgado,et al.  Surface Finish Monitoring in Taper Turning CNC Using Artificial Neural Network and Multiple Regression Methods , 2013 .

[19]  B.S.N. Murthy,et al.  Cutting tool condition monitoring by analyzing surface roughness, work piece vibration and volume of metal removed for AISI 1040 steel in boring , 2013 .

[20]  Geok Soon Hong,et al.  Wavelet analysis of sensor signals for tool condition monitoring: A review and some new results , 2009 .

[21]  Jongwon Kim,et al.  Indirect cutting force measurement in multi-axis simultaneous NC milling processes , 1999 .

[22]  Dragos Axinte,et al.  An integrated monitoring method to supervise waterjet machining , 2009 .

[23]  Rui Li,et al.  Spiral point drill temperature and stress in high-throughput drilling of titanium , 2007 .

[24]  Bjorn Weichbrodt,et al.  What Sound Can Be Expected From a Worn Tool , 1969 .

[25]  Krzysztof Jemielniak,et al.  Advanced monitoring of machining operations , 2010 .

[26]  Sandro Turchetta,et al.  Cutting force and diamond tool wear in stone machining , 2012 .

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

[28]  Dragos Axinte,et al.  A time–frequency acoustic emission-based monitoring technique to identify workpiece surface malfunctions in milling with multiple teeth cutting simultaneously , 2009 .

[29]  Roberto Teti,et al.  Residual Stress Condition Monitoring via Sensor Fusion in Turning of Inconel 718 , 2013 .

[30]  T. R. Mansur,et al.  Development of a three-component dynamometer to measure turning force , 2012 .

[31]  Lin Li,et al.  Power signal separation in milling process based on wavelet transform and independent component analysis , 2011 .

[32]  Dragos Axinte,et al.  A critical analysis of effectiveness of acoustic emission signals to detect tool and workpiece malfunctions in milling operations , 2008 .

[33]  Paul Xirouchakis,et al.  Cutting torque and tangential cutting force coefficient identification from spindle motor current , 2013 .

[34]  Michael J. Lukitsch,et al.  Tapping of Al–Si alloys with diamond-like carbon coated tools and minimum quantity lubrication , 2010 .

[35]  S. Brol,et al.  Wavelet and fractal approach to surface roughness characterization after finish turning of different workpiece materials , 2009 .

[36]  Zhe Liu,et al.  A Frequency Band Energy Analysis of Vibration Signals for Tool Condition Monitoring , 2009, 2009 International Conference on Measuring Technology and Mechatronics Automation.

[37]  Abhijit Chandra,et al.  Tool wear monitoring in ramp cuts in end milling using the wavelet transform , 2004 .

[38]  N. H. Abu-Zahra,et al.  402 Tool Chatter Monitoring in Turning Operations Using Wavelet Analysis of Ultrasound Waves , 2003 .

[39]  Carlos Henrique Lauro,et al.  Monitoring the temperature of the milling process using infrared camera , 2013 .

[40]  Chen Lu,et al.  Study on prediction of surface quality in machining process , 2008 .

[41]  Takashi Ueda,et al.  Measurement of Grinding Temperature of Active Grains Using Infrared Radiation Pyrometer with Optical Fiber , 1993 .

[42]  M. Mori,et al.  Adaptive interpolation scheme for NURBS curves with the integration of machining dynamics , 2005 .

[43]  Marc Thomas,et al.  Cyclostationarity approach for monitoring chatter and tool wear in high speed milling , 2014 .

[44]  Thomas Childs,et al.  Metal Machining: Theory and Applications , 2000 .

[45]  Youlun Xiong,et al.  A novel approach to fixture design on suppressing machining vibration of flexible workpiece , 2012 .

[46]  Theodore V. Vorburger,et al.  In-Process and On-Line Measurement of Surface Finish 1 1Contribution of the U.S. National Bureau of Standards, not subject to copyright. , 1980 .

[47]  Anand Asundi,et al.  Comparison of Fourier transform, windowed Fourier transform, and wavelet transform methods for phase extraction from a single fringe pattern in fringe projection profilometry , 2010 .

[48]  Zhonghua Yu,et al.  Application of Hilbert–Huang Transform to acoustic emission signal for burn feature extraction in surface grinding process , 2014 .

[49]  Jun Ni,et al.  Non-stationary signal analysis and transient machining process condition monitoring , 2002 .

[50]  Milos Sedlacek,et al.  Measurement of active power by time domain digital signal processing , 2009 .

[51]  Zhensheng Yang,et al.  Grinding wheel wear monitoring based on wavelet analysis and support vector machine , 2012 .

[52]  M. C. Shaw Metal Cutting Principles , 1960 .

[53]  Suleyman Yaldiz,et al.  Design, development and testing of a four-component milling dynamometer for the measurement of cutting force and torque , 2007 .

[54]  M. Behzad,et al.  Tool Condition Monitoring based on sound and vibration analysis and wavelet packet decomposition , 2012, 2012 8th International Symposium on Mechatronics and its Applications.

[55]  Li Xiang,et al.  Application of classical clustering methods for online tool condition monitoring in high speed milling processes , 2012, 2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA).

[56]  N. H. Abu-Zahra,et al.  Tool Chatter Monitoring in Turning Operations Using Wavelet Analysis of Ultrasound Waves , 2002 .

[57]  G. Byrne Thermoelectric signal characteristics and average interfacial temperatures in the machining of metals under geometrically defined conditions , 1987 .

[58]  Joseph C. Chen,et al.  Tool condition monitoring in an end-milling operation based on the vibration signal collected through a microcontroller-based data acquisition system , 2008 .

[59]  A. M. Bassiuny,et al.  Flute breakage detection during end milling using Hilbert–Huang transform and smoothed nonlinear energy operator , 2007 .

[60]  L. R. Quartararo,et al.  Noise and Vibration Control Engineering: Principles and Applications , 1992 .

[61]  Miron Zapciu,et al.  Envelope dynamic analysis: a new approach for milling process monitoring , 2012 .

[62]  Elso Kuljanić,et al.  Development of an intelligent multisensor chatter detection system in milling , 2009 .

[63]  Gi Dae Kim,et al.  Indirect Cutting Force Measurement Considering Frictional Behaviour in a Machining Centre Using Feed Motor Current , 1999 .

[64]  Myeong Chang Kang,et al.  A monitoring technique using a multi-sensor in high speed machining , 2001 .

[65]  Eva Rubio,et al.  Advanced signal processing in acoustic emission monitoring systems for machining technology , 2006 .

[66]  R. Krishnamurthy,et al.  Acoustic emission based drill condition monitoring during drilling of glass/phenolic polymeric composite using wavelet packet transform , 2005 .

[67]  M. Miki,et al.  A Sound Monitoring System for Fault Detection of Machine and Machining States , 1986 .

[68]  Guillaume Fromentin,et al.  An experimental study on the effects of lubrication in form tapping , 2010 .

[69]  Mohammadjafar Hadad,et al.  Minimum quantity lubrication-MQL turning of AISI 4140 steel alloy , 2013 .

[70]  Ming-Chyuan Lu,et al.  Study of high-frequency sound signals for tool wear monitoring in micromilling , 2012 .

[71]  Daisuke Kono,et al.  High-precision machining by measurement and compensation of motion error , 2008 .

[72]  Giangiacomo Minak,et al.  Effect of the drilling process on the compression behavior of glass/epoxy laminates , 2013 .

[73]  P. S. Sivasakthivel,et al.  Optimization of machining parameters on temperature rise in end milling of Al 6063 using response surface methodology and genetic algorithm , 2013 .

[74]  Mathieu Ritou,et al.  Angular approach combined to mechanical model for tool breakage detection by eddy current sensors , 2014 .

[75]  M. Chellamalai,et al.  Monitoring of hard turning using acoustic emission signal , 2012 .

[76]  Y. S. Tarng,et al.  Amplitude demodulation of the induction motor current for the tool breakage detection in drilling operations , 1999 .

[77]  Walter Lindolfo Weingaertner,et al.  Evaluation of high-speed end-milling dynamic stability through audio signal measurements , 2006 .

[78]  Ichiro Inasaki,et al.  Application of acoustic emission sensor for monitoring machining processes , 1998 .

[79]  Suleyman Yaldiz,et al.  A dynamometer design for measurement the cutting forces on turning , 2006 .

[80]  Z. Tekiner,et al.  Investigation of the cutting parameters depending on process sound during turning of AISI 304 austenitic stainless steel , 2004 .

[81]  G. Galante,et al.  Surface roughness detection by tool image processing , 1991 .

[82]  Ataur Rahman,et al.  Dynamic Clustering Estimation of Tool Flank Wear in Turning Process using SVD Models of the Emitted Sound Signals , 2011 .

[83]  Carlos Henrique Lauro,et al.  Contribution to dynamic characteristics of the cutting temperature in the drilling process considering one dimension heat flow , 2011 .

[84]  D. Dudzinski,et al.  Tool vibration detection with eddy current sensors in machining process and computation of stability lobes using fuzzy classifiers , 2007 .

[85]  Kai Cheng,et al.  Machining dynamics: Fundamentals, applications and practices , 2008 .

[86]  Arif Gok,et al.  Cutting parameter and tool path style effects on cutting force and tool deflection in machining of convex and concave inclined surfaces , 2013 .

[87]  Behnam Davoodi,et al.  A new method for heat measurement during high speed machining , 2012 .

[88]  Jun Qu,et al.  A wavelet-based methodology for grinding wheel condition monitoring , 2007 .

[89]  Yean-Ren Hwang,et al.  Analysis of signals for monitoring of nonlinear and non-stationary machining processes , 2010 .

[90]  Babur Ozcelik,et al.  Analysis of temperature changes on the twist drill under different drilling conditions based on Taguchi method during dry drilling of Al 7075-T651 , 2005 .

[91]  Snr. D. E. Dimla The Correlation of Vibration Signal Features to Cutting Tool Wear in a Metal Turning Operation , 2002 .

[92]  Lincoln Cardoso Brandão,et al.  TEMPERATURE AND HEAT FLOW WHEN TAPPING OF THE HARDENED STEEL USING DIFFERENT COOLING SYSTEMS , 2009 .

[93]  D. O’Sullivan,et al.  Temperature measurement in single point turning , 2001 .

[94]  Nagayoshi Kasashima,et al.  Online Failure Detection in Face Milling Using Discrete Wavelet Transform , 1995 .

[95]  R. Coelho,et al.  Turning hardened steel using coated carbide at high cutting speeds , 2008 .

[96]  Ming Liang,et al.  Chatter detection based on probability distribution of wavelet modulus maxima , 2009 .

[97]  Dong-Sik Kim,et al.  Development of a combined-type tool dynamometer with a piezo-film accelerometer for an ultra-precision lathe , 1997 .

[98]  Kai Xu,et al.  Temperature modeling in end grinding of coated workpieces , 2010 .

[99]  Tianyu Wu,et al.  Analysis of acoustic emission in precision and high-efficiency grinding technology , 2013 .

[100]  M. Feldman Hilbert transform in vibration analysis , 2011 .

[101]  Can Cogun,et al.  A cutting force induced error elimination method for turning operations , 2005 .

[102]  R. Krishnamurthy,et al.  Effect of specific cutting pressure and temperature during machining of carbon/phenolic ablative composite using PCBN tools , 2007 .