Abstract
This paper discusses an analytical assessment of the effect of cutting tool flank wear on machining stability along the thrust direction in a turning operation based on an analysis of frequency band root-mean-square (RMS) level of the accelerometer signals. The energy content of machining at the tool-tip/workpiece interface along the flank is represented by the RMS signal level, in comparison to the random vibration of the cantilever portion of the tool holder. The RMS signals measured from a tool-post accelerometer in stable machining with tool wear effect are calculated using the frequency band RMS method at the first natural frequency of the cantilever portion of the tool holder. Increasing flank wear results in increasing stability and decreasing RMS in the thrust direction in machining. For model validation, a series of machining experiments were performed under the condition of various flank wear/land widths, while the RMS signals from a tool-post accelerometer were collected and studied. It was found that theoretical predictions were shown to be in agreement with experimental results.
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Abbreviations
- c :
-
Viscous damping constant
- c′ :
-
Effective damping constant, c +k c T+k f
- F w :
-
Contact force in the x direction
- f 1 :
-
Lower frequency of band pass filter
- f 2 :
-
Higher frequency of band pass filter
- G x (f):
-
One-sided power spectral density function of the signal x(t)
- H(w):
-
Complex frequency response function
- k′ :
-
k m
- k m :
-
Spring constant
- k c :
-
Cutting coefficient
- k f :
-
Penetration rate constant
- k sp :
-
Specific contact force
- l w :
-
Tool wear width
- ψ(x):
-
Variation of chip thickness in the direction normal to the primary cutting edge, ψ(x)=[x(t−T)−x(t)]
- m :
-
Mass
- m′ :
-
Effective mass, \(m - k_{c} \frac{{T^{2} }} {2}\)
- n(t):
-
Random force
- n′(t):
-
Random acceleration
- p(x):
-
Power spectral density function
- S (w):
-
Mean square spectral density
- S o :
-
Spectral density
- T :
-
Delay time (1/spindle speed)
- T p :
-
Time period
- t :
-
Time
- V :
-
total volume of displaced material
- v :
-
cutting speed
- W oc :
-
Width of cut
- w :
-
frequency, rad/s
- w oc :
-
Width of cut
- w n :
-
Natural frequency, (k′/m′)1/2
- ζ :
-
Damping ratio, c′/2m’w n
- x :
-
Displacement of the mass
- \( \ifmmode\expandafter\bar\else\expandafter\=\fi{x} \) :
-
Mean
- \( \dot{x} \) :
-
Velocity
- \(\ifmmode\expandafter\ddot\else\expandafter\"\fi{x}\) :
-
Acceleration
- σ :
-
Standard deviation
References
Dan L, Matthew J (1990) Tool wear and failure monitoring techniques for turning—a review. Int J Mach Tool Manuf 30(4):579–598
Liang SY, Dornfeld DA (1989) Tool wear detection using time series analysis of acoustic emission. ASME J Eng Ind 111:199–205
Pandit SM, Subramanian TL, Wu SM (1975) Modeling machine tool chatter by time series. ASME J Eng Ind 97b:211–215
Pandit SM, Subramanian TL, Wu SM (1975) Stability of random vibrations with special reference to machine tool chatter. ASME J Eng Ind 97b:216–219
Caughey TK, Stumpf HJ (1961) Transient response of a dynamic system under random excitation. J App Mech 28:563–566
Chiou YS, Chung ES, Liang SY (1995) Analysis of tool wear effect on chatter stability in turning. Int J Mech Sci 37(4):391–404
Ismail F, Elbestawi MA, Du R, Urbasik K (1993) Generation of milled surfaces including tool dynamics and wear. Trans ASME J Eng Ind 115:245–252
Cook NH (1959) Self-excited vibrations in metal cutting. Trans ASME J Eng Ind 81:183–186
Marui E, Ema S, Kato S, Chatter vibration of lathe tools, part 1: general characteristics of chatter vibration, part 2: on the mechanism of energy supply. ASME J Eng Ind 105:100–113
Arnold RN (1946) The mechanism of tool vibration in the cutting of steel. Inst Mech Eng J Proc 154:261–284
Tlusty J (1978) Analysis of the state of research in cutting dynamics. CIRP Ann 27(2):583–589
Shaw MC, DeSalvo GJ (1970) On the plastic flow beneath a blunt axis symmetric indenter. Trans ASME J Eng Ind 92:480–487
Wu DW (1988) Application of a comprehensive dynamic cutting force model to orthogonal wave-generating processes. Int J Mech Sci 30(8):581–660
Yoshitaka K, Osamu K, Hisayoshi S (1981) Behavior of self-excited chatter due to multiple regenerative effect. Trans ASME J Eng Ind 103:324–329
Roth T, Pandit M (1998) Monitoring end-mill wear and predicting tool failure using accelerometers. Proceedings of the ASME, MED 8:867–875
Jiang CY, Zhang YZ, Xu HJ (1987) In-process monitoring of tool wear stage by the frequency band-energy method. CIRP Ann 36(1):45–48
Chung ES, Chiou YS, Liang SY (1993) Tool wear and chatter detection in turning via time series modeling and frequency band averaging. In: Proceedings of symposium on intelligent design and manufacturing, ASME winter annual meeting, pp 351–358
Koren Y, Danai K, Ulsoy AG, Ko TR (1987) Monitoring tool wear through force measurement. In: 15th proceedings of the North American manufacturing research conference, pp 463–468
Micheletti GF, Koenig W, Victor HR (1976) In-process tool wear sensors for cutting operations. CIRP Ann 25:483–496
Park JJ, Ulsoy AG (1993) On-line flank wear estimation using an adaptive observer and computer vision, part 1, 2. Trans ASME J Eng Ind 115:30–36
Ulsoy AG, Danai K (1987) A dynamic state model for on-line tool wear estimation in turning. Trans ASME J Eng Ind 109:396–399
Taglia D, Portunato A, Toni P (1976) An approach to on-line measurement of tool wear by spectrum analysis. In: proceedings of machine tool design and research conference 17:141–148
Wallace PW, Andrew C (1965) Machining forces: some effects of tool vibration. J Mech Eng Sci 7(2):152–162
Rao SB (1986) Tool wear monitoring through the dynamics of stable turning: Trans ASME J Eng Ind 108:183–190
Martin P, Mutel B, Drapier JP (1974) Influence of lathe tool wear on the vibrations sustained in cutting. In: Proceedings of MTDR 15:251–257
Sisson TR, Kegg RL (1969) An explanation of low speed chatter effects. Trans ASME 91(4):951–958
Wirsching PH, Paez TL, Ortiz K (1995) Random vibrations: theory and practice. Wiley, New York
Zhang GM, Kapoor SG (1991) Dynamic generation of machined surfaces, part 1: description of a random excitation system. Trans ASME J Eng Ind 113:137–144
Zhang GM, Kapoor SG (1991) Dynamic generation of machined surfaces, part 2: construction of surface topography. Trans ASME J Eng Ind 113:145–153
Sankar TS (1975) A reliability estimate for machine tool spindles subjected to random forces. Mech Mach Theory 10:131–138
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Liang, S.Y., Kwon, Y.K. & Chiou, R.Y. Modelling the effect of flank wear on machining thrust stability. Int J Adv Manuf Technol 23, 857–864 (2004). https://doi.org/10.1007/s00170-003-1756-1
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DOI: https://doi.org/10.1007/s00170-003-1756-1