Method for early detection of the regenerative instability in turning

International Journal of Advanced Manufacturing Technology

Volumn 58, Issue 1-4, 2012, Pages 29-43

  Frumuşanu, Gabriel R ^a   Epureanu, Alexandru ^a   Constantin, Ionuţ C ^a  

^a DUNAREA DE JOS UNIVERSITY OF GALATI   (Romania)

Author keywords

Early detection; Logistic model; Predictive control; Regenerative instability; Turning

Indexed keywords

CUTTING FORCE SIGNALS; CUTTING FORCES; DYNAMICAL STATE; EARLY DETECTION; INPUT VARIABLE SELECTION; LOGISTIC MODEL; MACHINING SYSTEMS; PREDICTIVE CONTROL; SIGNAL STATISTICS; STABILITY CONTROL; TURNING PROCESS;

CONTROL SYSTEM STABILITY; CUTTING; FEATURE EXTRACTION; HARMONIC ANALYSIS; INTELLIGENT SYSTEMS; STABILITY; TURNING;

SIGNAL DETECTION;

EID: 84855644133     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-011-3383-6     Document Type: Article

References (44)

1. Merrit HE (1965) Theory of self-excited machine-tool chatter. J Eng Ind Trans ASME 87(4) : 447-454
2. Hanna NH, Tobias SA (1974) A theory of nonlinear regenerative chatter. J Eng Ind Trans ASME 96:247-255
3. Moon FC, Kalmar-Nagy T (2001) Nonlinear models for complex dynamics in cutting materials. Phil Trans Roy Soc Lond Math 359:695-711
4. Insperger T, Mann BP, Stepan G, Bayly PV (2003) Stability of upmilling and down-milling, part 1: alternative analytical methods. Int J Mach Tools Manuf 43:25-34 (Pubitemid 35385282)
5. Mann BP, Insperger T, Bayly PV, Stepan G (2003) Stability of upmilling and down-milling, part 2: experimental verification. Int J Mach Tools Manuf 43:35-40 (Pubitemid 35385283)
6. Gradisek J, Kalveram M, Insperger T, Weinert K, Stepan G, Govekar E, Grabec I (2005) On stability prediction for milling. Int J Mach Tools Manuf 45:769-781 (Pubitemid 40259554)
7. Totis G (2009) RCPM-a new method for robust chatter prediction in milling. Int J Mach Tools Manuf 49:273-284
8. Song Q, Ai X, Tang W (2010) Prediction of simultaneous dynamic stability limit of time-variable parameters system in thin-walled workpiece high-speed milling processes. Int J Adv Manuf Technol. doi:10.1007/s00170-010-3139-8
9. Sivasakthivel PS, Velmurugan V, Sudhakaran R (2010) Prediction of vibration amplitude from machining parameters by response surface methodology in end milling. Int J Adv Manuf Technol. doi:10.1007/s00170-010-2872-3
10. Damir A, Ng E-G, Elbestawi M (2010) Force prediction and stability analysis of plunge milling of systems with rigid and flexible workpiece. Int J Adv Manuf Technol. doi:10.1007/s00170-010-2982-y
11. Wan M, Zhang W-H, Dang J-W, Yang Y (2010) A unified stability prediction method for milling process with multiple delays. Int J Mach Tools Manuf 50:29-41
12. Insperger T, Stepan G (2004) Updated semi-discretization method for periodic delay-differential equations with discrete delay. Int J Numer Meth Eng 61:117-141 (Pubitemid 39115803)
13. Bayly PV, Halley JE, Mann BP, Davies MA (2003) Stability of Interrupted Cutting by Temporal Finite Element Analysis. Trans ASME J Man Sci Eng 125:220-225
14. Altintas Y, Weck M (2004) Chatter stability of metal cutting and grinding. CIRP Ann 53(2) : 619-642 (Pubitemid 40108523)
15. Campbell SA, Stone E (2006) Analysis of the chatter instability in a nonlinear model for drilling. Trans ASME J Comp Nonlin Dyn 1:294-306 (Pubitemid 44762413)
16. Khorasani AM, Aghchai AJ, Khorram A (2010) Chatter prediction in turning process of conical workpieces by using case-based reasoning (CBR) method and Taguchi design of experiment. Int J Adv Manuf Technol. doi:10.1007/s00170-010- 3060-1
17. Cardia A, Firpia H, Bementb M, Liang S (2008) Workpiece dynamic analysis and prediction during chatter of turning process. Mech Syst Sig Process 22:1481-1494
18. Stepan G (2001) Modelling nonlinear regenerative effects in metal cutting. Phil Trans R Soc Lond A 359:739-757
19. Litak G, Sen A, Syta A (2008) Intermittent and chaotic vibrations in a regenerative cutting process. Chaos Solitons Fractals 41(4) : 2115-2122
20. Johnson MA, Moon FC (2001) Nonlinear techniques to characterize prechatter and chatter vibrations in the machining of metals. Int J Bifurcation Chaos 11(2) : 449-467 (Pubitemid 33573860)
21. Wiercigroch M (1997) Chaotic vibration of a simple model of the machine tool-cutting process system. Trans ASME J Vib Acoust 119:468-475 (Pubitemid 127700855)
22. Messaoud A, Weihs C, Hering F (2008) Detection of chatter vibration in a drilling process using multivariate control charts. Comput Stat Data Anal 52:3208-3219 (Pubitemid 351241290)
23. Tansel IN, Li M, Demetgul M, Bickraj K, Kaya B, Ozcelik B (2010) Detecting chatter and estimating wear from the torque of end milling signals by using Index Based Reasoner (IBR). Int J Adv Manuf Technol. doi:10.1007/s00170- 010-2838-5
24. Tansel IN, Wang X, Chen P, Yenilmez A, Ozcelik B (2006) Transformations in machining. Part 2. Evaluation of machining quality and detection of chatter in turning by using stransformation. Int J Mach Tools Manuf 46:43-50 (Pubitemid 41497899)
25. Yenilmez A, Rincon D, Tansel IN, Erazo FI, Wang X, Chen P (2007) Estimation of the chatter zones of drilled holesby using stransformation. Int J Adv Manuf Technol 31:638-644 (Pubitemid 46005334)
26. Abu-Zahra NS, Lange JH (2002) Tool chatter monitoring in turning operations using wavelet analysis of ultrasound waves. Int J Adv Manuf Technol 20:248-254 (Pubitemid 34964531)
27. Yao Z, Mei D, Chen Z (2010) On-line chatter detection and identification based on wavelet and support vector machine. J Mater Process Technol 210:713-719
28. Wang L, Liang M (2009) Chatter detection based on probability distribution of wavelet modulus maxima. Robot Comput-Integr Manuf 25:989-998
29. Gonzalez-Brambila O, Rubio E, Jauregui JC, Herrera-Ruiz G (2006) Chattering detection in cylindrical grinding processes using the wavelet transform. Int J Mach Tools Manuf 46:1934-1938 (Pubitemid 44468330)
30. Kuljanic E, Totis G, Sortino M (2009) Development of an intelligent multisensor chatter detection system in milling. Mech Systems and Signal Processing 23:1704-1718
31. Tangjitsitcharoen S (2006) Intelligent monitoring and identification of cutting states by spectrum analysis. Proceedings of the 7th Asia Pacific Industrial Engineering and Management Systems Conference, Bangkok, Thailand: 1999-2005.
32. Tangjitsitcharoen S (2009) In-process monitoring and detection of chip formation and chatter for CNC turning. J Mater Process Technol 209:4682-4688
33. Tangjitsitcharoen S, Moriwaki T (2007) Intelligent identification of turning process based on pattern recognition of cutting states. J Mater Process Technol 192-193:491-496 (Pubitemid 47202011)
34. Nair U, Krishna BM, Namboothiri VNN, Nampoori VNN (2010) Permutation entropy based real-time chatter detection using audio signal in turning process. Int J Adv Manuf Technol 46:61-68
35. Schmitz TL, Medicus K, Dutterer B (2002) Exploring once-perrevolution audio signal variance as a chatter indicator. Machin Sci Tech 6(2) : 215-233
36. Weingaertner WL, Schroeter RB, Polli ML, Gomes JO (2006) Evaluation of high-speed end-milling dynamic stability through audio signal measurements. J Mater Process Technol 179:133-138 (Pubitemid 44376523)
37. Tsai N-C, Chen D-C, Lee R-M (2010) Chatter prevention for milling process by acoustic signal feedback. Int J Adv Manuf Technol 47:1013-1021
38. Soliman E, Ismail F (1997) Chatter detection by monitoring spindle drive current. Int J Adv Manuf Technol 13:27-34 (Pubitemid 127549046)
39. Hajikolaei KH, Moradi H, Vossoughi G, Movahhedy MR (2010) Spindle speed variation and adaptive force regulation to suppress regenerative chatter in the turning process. J Manuf Processes 12:106-115
40. Sri Namachchivaya N, Beddini R (2003) Spindle speed variation for the suppression of regenerative chatter. Journal of Nonlinear Sciences 13:265-288
41. Yilmaz A, Al-Regib E, Ni J (2002) Machine tool chatter suppression by multi-level random spindle speed variation. Trans ASME J Manuf Sci Eng 124:208-216 (Pubitemid 35202608)
42. Yang F, Zhang B, Yu J (1999) Chatter suppression via an oscillating cutter. Trans ASME, J Manuf Sci Eng 121:54-60
43. Rosenstein MT, Collins JJ, De Luca CJ (1993) A practical method for calculating largest Lyapunov exponents from small data sets. Physica D 65:1-2
44. Moon F (2004) Chaotic and fractal dynamics. Springer, New York