Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
The International Journal of Advanced Manufacturing Technology
Erschienen in: The International Journal of Advanced Manufacturing Technology 12/2019

16.11.2019 | ORIGINAL ARTICLE

Online chatter detection in milling process based on VMD and multiscale entropy

verfasst von: Kai Li, Songping He, Bo Luo, Bin Li, Hongqi Liu, Xinyong Mao

Erschienen in: The International Journal of Advanced Manufacturing Technology | Ausgabe 12/2019

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Chatter is a kind of self-excited vibration, which always has a negative impact on production efficiency. In this paper, a novel online chatter detection method for milling processes is proposed. In this method, firstly, the spindle revolution period component is extracted by angular synchronous averaging (ASA) the vibration signals generated in different cutting conditions. Then, the residual part related to chatter is calculated by subtracting the periodic component. Subsequently, the filtered signal is decomposed into a set of intrinsic mode functions (IMFs) using variational mode decomposition (VMD) to obtain chatter information. Finally, the multiscale permutation entropy (MPE) and multiscale power spectral entropy (MPSE) of the selected IMFs are calculated, and Laplacian score (LS) for feature selection is applied to select the optimal sensitive scale features with generalization. Online chatter detection based on selected sensitive scale features by splitting signal up into overlapping frames in milling process. The analysis results show that the proposed method can effectively detect the chatter under stable cutting conditions and variable cutting conditions.
Vorheriger Artikel Optimization analysis considering the cutting effects for high-speed five-axis down milling process by employing ball end mill
Nächster Artikel Strength properties and structure of CuCrZr alloy subjected to low-temperature KOBO extrusion and heat treatment

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren
Literatur
1.
Quintana G, Ciurana J (2011) Chatter in machining processes: A review. Int J Mach Tools Manuf 51(5):363–376CrossRef
2.
Altintas Y, Weck M (2004) Chatter stability of metal cutting and grinding. CIRP Ann Manuf Technol 53(2):619–642CrossRef
3.
Altintaş Y, Budak E (1995) Analytical prediction of stability lobes in milling. CIRP Ann-Manuf Technol 44(1):357–362CrossRef
4.
Tlusty J, Zaton W, Ismail F (1983) Stability lobes in milling. CIRP Ann- Manuf Technol 32(1):309–313CrossRef
5.
Bayly PV, Halley JE, Mann BP, Davies MA (2003) Stability of interrupted cutting by temporal finite element analysis. J Manuf Sci Eng 125(2):220–225CrossRef
6.
Yang K, Wang G, Dong Y, Zhang Q, Sang L (2019) Early chatter identification based on an optimized variational mode decomposition. Mech Syst Signal Process 115:238–254CrossRef
7.
Lamraoui M, Thomas M, El Badaoui M (2014) Cyclostationarity approach for monitoring chatter and tool wear in high speed milling. Mech Syst Signal Process 44(1-2):177–198CrossRef
8.
Cao H, Zhou K, Chen X (2015) Chatter identification in end milling process based on EEMD and nonlinear dimensionless indicators. Int J Mach Tools Manuf 92:52–59CrossRef
9.
Shao Y, Deng X, Yuan Y, Mechefske CK, Chen Z (2014) Characteristic recognition of chatter mark vibration in a rolling mill based on the non-dimensional parameters of the vibration signal. J Mech Sci Technol 28(6):2075–2080CrossRef
10.
Zhang Z, Li H, Meng G, Tu X, Cheng C (2016) Chatter detection in milling process based on the energy entropy of VMD and WPD. Int J Mach Tools Manuf 108:106–112CrossRef
11.
Liu C, Zhu L, Ni C (2018) Chatter detection in milling process based on VMD and energy entropy. Mech Syst Signal Process 105:169–182CrossRef
12.
Huang P, Li J, Sun J, Zhou J (2013) Vibration analysis in milling titanium alloy based on signal processing of cutting force. Int J Adv Manuf Technol 64(5-8):613–621CrossRef
13.
Soliman E, Ismail F (1997) Chatter detection by monitoring spindle drive current. Int J Adv Manuf Technol 13(1):27–34CrossRef
14.
Liu Y, Wang X, Lin J, Zhao W (2016) Early chatter detection in gear grinding process using servo feed motor current. Int J Adv Manuf Technol 83(9-12):1801–1810CrossRef
15.
Aslan D, Altintas Y (2018) On-line chatter detection in milling using drive motor current commands extracted from CNC. Int J Mach Tools Manuf 132:64–80CrossRef
16.
Nair U, Krishna BM, Namboothiri VNN, Nampoori VPN (2010) Permutation entropy based real-time chatter detection using audio signal in turning process. Int J Adv Manuf Technol 46(1-4):61–68CrossRef
17.
Cao H, Yue Y, Chen X, Zhang X (2017) Chatter detection in milling process based on synchrosqueezing transform of sound signals. Int J Adv Manuf Technol 89(9-12):2747–2755CrossRef
18.
Kang J, Feng C, Hu H, Shao Q (2007) Research on chatter prediction and monitor based on DHMM pattern recognition theory. In 2007 IEEE International Conference on Automation and Logistics (pp. 1368-1372). IEEE
19.
Tangjitsitcharoen S (2009) In-process monitoring and detection of chip formation and chatter for CNC turning. J Mater Process Technol 209(10):4682–4688CrossRef
20.
Choi T, Shin YC (2003) On-line chatter detection using wavelet-based parameter estimation. J Manuf Sci Eng 125(1):21–28CrossRef
21.
Wang L, Liang M (2009) Chatter detection based on probability distribution of wavelet modulus maxima. Robot Comput-Integr Manuf 25(6):989–998CrossRef
22.
Cao H, Lei Y, He Z (2013) Chatter identification in end milling process using wavelet packets and Hilbert–Huang transform. Int J Adv Manuf Technol 69:11–19CrossRef
23.
Li X, Yao ZH, Chen ZC (2010) An Effective EMD-Based Feature Extraction Method for Boring Chatter Recognition. In Applied Mechanics and Materials (Vol. 34, pp. 1058–1063). Trans Tech Publications
24.
Ji Y, Wang X, Liu Z, Yan Z, Jiao L, Wang D, Wang J (2017) EEMD-based online milling chatter detection by fractal dimension and power spectral entropy. Int J Adv Manuf Technol 92(1-4):1185–1200CrossRef
25.
26.
W Aziz, M Arif. (2005). Multiscale permutation entropy of physiological time series. In 2005 Pakistan Section Multitopic Conference (pp. 1–6). IEEE
27.
Ouyang G, Dang C, Li X (2011) Complexity analysis of EEG data with multiscale permutation entropy. In Advances in Cognitive Neurodynamics (II) (pp. 741–745). Springer, Dordrecht
28.
Abarbanel HDI, Kennel MB (1993) Local false nearest neighbors and dynamical dimensions from observed chaotic data. Phys Rev E 47(5):3057CrossRef
29.
Finn JT (1993) Use of the average mutual information index in evaluating classification error and consistency. Int J Geogr Inf Sci 7(4):349–366CrossRef
30.
He X, Cai D, Niyogi P (2006) Laplacian score for feature selection. In Advances in neural information processing systems (pp. 507–514)
31.
Zheng J, Pan H, Yang S, Cheng J (2018) Generalized composite multiscale permutation entropy and Laplacian score based rolling bearing fault diagnosis. Mech Syst Signal Process 99:229–243CrossRef
Metadaten
Titel
Online chatter detection in milling process based on VMD and multiscale entropy
verfasst von
Kai Li
Songping He
Bo Luo
Bin Li
Hongqi Liu
Xinyong Mao
Publikationsdatum
16.11.2019
Verlag
Springer London
Erschienen in
The International Journal of Advanced Manufacturing Technology / Ausgabe 12/2019
Print ISSN: 0268-3768
Elektronische ISSN: 1433-3015
DOI
https://doi.org/10.1007/s00170-019-04478-4

Weitere Artikel der Ausgabe 12/2019

The International Journal of Advanced Manufacturing Technology 12/2019 Zur Ausgabe

ORIGINAL ARTICLE

Analysis of red blood cell deformability using parallel ladder electrodes in a microfluidic manipulation system

ORIGINAL ARTICLE

Optimal parameter ranges of material removal depth of abrasive cloth wheel polishing based on sensitivity analysis

ORIGINAL ARTICLE

Delayed cracking in hot stamping with hot trimming for ultra-high strength steel components

ORIGINAL ARTICLE

Quantitative characterization of mechano-biological interrelationships of single cells

ORIGINAL ARTICLE

Microscopic characterization and modeling of oxide layer for electrolytic in-process dressing (ELID) grinding with focus on voltage, electrode-wheel gap, and coolant flow

ORIGINAL ARTICLE

Experimental and numerical investigation of failure during bending of AA6061 aluminum alloy sheet using the modified Mohr-Coulomb fracture criterion

Premium Partner

    Marktübersichten

    Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen. 

    Zur Marktübersicht
    Bildnachweise