Skip to main content
Erschienen in: The International Journal of Advanced Manufacturing Technology 3/2020

25.05.2020 | ORIGINAL ARTICLE

Partition of the workspace for machine tool based on position-dependent modal energy distribution and clustering algorithm

verfasst von: Yili Peng, Bin Li, Xinyong Mao, Chunhui Li, Hongqi Liu, Fangyu Peng

Erschienen in: The International Journal of Advanced Manufacturing Technology | Ausgabe 3/2020

Einloggen

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

search-config
loading …

Abstract

The natural frequencies and damping ratios of machine tool structure vary with the change of the machining position in the machining space. When the stiffness distribution of the whole machine structure is not uniform, some position change will further lead to the change of weak components of the structure. In order to detail the position-dependent dynamics of the machine tool, the change of structure dynamics caused by the change of position is divided into two types: one is both the modal parameters and structural weakness change, and the other is that only the modal parameters change, while the weakness remains unchanged. The entire workspace can be divided into different subareas according to whether the weakness changes. In the same subarea, only the modal parameters change and the weakness remains unchanged. In the different subareas, the weakness of whole machine tool structure changes. The change of structural weakness influences the vibration characteristics of the machine tool and the dominant modes of vibration. Hence, the partition of machining space according to the change of structural weakness is helpful to more accurately analyze the position-dependent dynamics and vibration characteristics of the machine tool. Firstly, this paper presents the method of modal energy distribution to analysis position-dependent structural weakness and the principle of the clustering to divide the workspace. A simulation example is given to verify the effectiveness of the method. Then, the clustering partition of the workspace for a gantry machining center is conducted with the presented method. Finally, the cutting tests are performed to verify the change of the vibration dominant mode of machine tool at different subareas.

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!

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!

Literatur
1.
Zurück zum Zitat Sekler P, Voß M, Verl A (2012) Model-based calculation of the system behavior of machine structures on the control device for vibration avoidance. Int J Adv Manuf Technol 58(9-12):1087–1095CrossRef Sekler P, Voß M, Verl A (2012) Model-based calculation of the system behavior of machine structures on the control device for vibration avoidance. Int J Adv Manuf Technol 58(9-12):1087–1095CrossRef
2.
Zurück zum Zitat Brecher C, Altstädter H, Daniels M (2015) Axis position dependent dynamics of multi-axis milling machines. Procedia CIRP 31:508–514CrossRef Brecher C, Altstädter H, Daniels M (2015) Axis position dependent dynamics of multi-axis milling machines. Procedia CIRP 31:508–514CrossRef
3.
Zurück zum Zitat Baumann J, Siebrecht T, Wiederkehr P (2017) Modelling the dynamic behavior of a machine tool considering the tool-position-dependent change of modal parameters in a geometric-kinematic simulation system. Procedia CIRP 62:351–356CrossRef Baumann J, Siebrecht T, Wiederkehr P (2017) Modelling the dynamic behavior of a machine tool considering the tool-position-dependent change of modal parameters in a geometric-kinematic simulation system. Procedia CIRP 62:351–356CrossRef
4.
Zurück zum Zitat Law M, Altintas Y, Phani AS (2013) Rapid evaluation and optimization of machine tools with position-dependent stability. Int J Mach Tools Manuf 68:81–90CrossRef Law M, Altintas Y, Phani AS (2013) Rapid evaluation and optimization of machine tools with position-dependent stability. Int J Mach Tools Manuf 68:81–90CrossRef
5.
Zurück zum Zitat Law M, Phani AS, Altintas Y (2013) Position-dependent multibody dynamic modeling of machine tools based on improved reduced models. ASME J Manuf Sci Eng 135(2):021008–021008CrossRef Law M, Phani AS, Altintas Y (2013) Position-dependent multibody dynamic modeling of machine tools based on improved reduced models. ASME J Manuf Sci Eng 135(2):021008–021008CrossRef
6.
Zurück zum Zitat Law M, Ihlenfeldt S (2015)A frequency-based substructuring approach to efficiently model position-dependent dynamics in machine tools. J. Multi-body Dyn, 229(3): 304-317 Law M, Ihlenfeldt S (2015)A frequency-based substructuring approach to efficiently model position-dependent dynamics in machine tools. J. Multi-body Dyn, 229(3): 304-317
7.
Zurück zum Zitat da Silva MM, Brüls O, Swevers J (2009) Computer-aided integrated design for machines with varying dynamics. Mech Mach Theory 44(9):1733–1745CrossRef da Silva MM, Brüls O, Swevers J (2009) Computer-aided integrated design for machines with varying dynamics. Mech Mach Theory 44(9):1733–1745CrossRef
8.
Zurück zum Zitat Zhang GP, Huang YM, Shi WH (2003) Predicting dynamic behaviours of a whole machine tool structure based on computer-aided engineering. Int J Mach Tools Manuf 43(7):699–706CrossRef Zhang GP, Huang YM, Shi WH (2003) Predicting dynamic behaviours of a whole machine tool structure based on computer-aided engineering. Int J Mach Tools Manuf 43(7):699–706CrossRef
9.
Zurück zum Zitat Albertelli P, Cau N, Bianchi G, Monno M (2012) The effects of dynamic interaction between machine tool subsystems on cutting process stability. Int J Adv Manuf Technol 58(9):923–932CrossRef Albertelli P, Cau N, Bianchi G, Monno M (2012) The effects of dynamic interaction between machine tool subsystems on cutting process stability. Int J Adv Manuf Technol 58(9):923–932CrossRef
10.
Zurück zum Zitat Zhang J, Zhang H, Du C (2016) Research on the dynamics of ball screw feed system with high acceleration. Int J Mach Tools Manuf 111:9–16CrossRef Zhang J, Zhang H, Du C (2016) Research on the dynamics of ball screw feed system with high acceleration. Int J Mach Tools Manuf 111:9–16CrossRef
11.
Zurück zum Zitat Wang L, Liu H, Yang L (2015) The effect of axis coupling on machine tool dynamics determined by tool deviation. Int J Mach Tools Manuf 88:71–81CrossRef Wang L, Liu H, Yang L (2015) The effect of axis coupling on machine tool dynamics determined by tool deviation. Int J Mach Tools Manuf 88:71–81CrossRef
12.
Zurück zum Zitat Luo B, Pan D, Cai H (2015) A method to predict position-dependent structural natural frequencies of machine tool. Int J Mach Tools Manuf 92:72–84CrossRef Luo B, Pan D, Cai H (2015) A method to predict position-dependent structural natural frequencies of machine tool. Int J Mach Tools Manuf 92:72–84CrossRef
13.
Zurück zum Zitat Putz M, Wittstock V, Kolouch M (2016) Investigation of the time-invariance and causality of a machine tool for performing operational modal analysis. Procedia CIRP 46:400–403CrossRef Putz M, Wittstock V, Kolouch M (2016) Investigation of the time-invariance and causality of a machine tool for performing operational modal analysis. Procedia CIRP 46:400–403CrossRef
14.
Zurück zum Zitat Deng C, Liu Y, Zhao J, Wei B, Yin G (2017) Analysis of the machine tool dynamic characteristics in manufacturing space based on the generalized dynamic response model. Int J Adv Manuf Technol 1-14 Deng C, Liu Y, Zhao J, Wei B, Yin G (2017) Analysis of the machine tool dynamic characteristics in manufacturing space based on the generalized dynamic response model. Int J Adv Manuf Technol 1-14
15.
Zurück zum Zitat Deng C, Miao J, Wei B (2018) Evaluation of machine tools with position-dependent milling stability based on Kriging model. Int J Mach Tools Manuf 124:33–42CrossRef Deng C, Miao J, Wei B (2018) Evaluation of machine tools with position-dependent milling stability based on Kriging model. Int J Mach Tools Manuf 124:33–42CrossRef
16.
Zurück zum Zitat Chen G, Li Y, Liu X (2019) Pose-dependent tool tip dynamics prediction using transfer learning. Int J Mach Tools Manuf 137:30–41CrossRef Chen G, Li Y, Liu X (2019) Pose-dependent tool tip dynamics prediction using transfer learning. Int J Mach Tools Manuf 137:30–41CrossRef
17.
Zurück zum Zitat Voon EP, Kiong TK (2018) Machine vibration analysis based on experimental modal analysis with radial basis functions. Measurement 128:45–54CrossRef Voon EP, Kiong TK (2018) Machine vibration analysis based on experimental modal analysis with radial basis functions. Measurement 128:45–54CrossRef
18.
Zurück zum Zitat He S, Mao X, Liu X, Luo B, Li B, Peng F (2016) A new approach based on modal mass distribution matrix to identify weak components of machine tool structure. Int J Adv Manuf Technol 83(1-4):193–203CrossRef He S, Mao X, Liu X, Luo B, Li B, Peng F (2016) A new approach based on modal mass distribution matrix to identify weak components of machine tool structure. Int J Adv Manuf Technol 83(1-4):193–203CrossRef
19.
Zurück zum Zitat Alex R, Alessandro L (2014) Clustering by fast search and find of density peaks. Science 344:1492–1496CrossRef Alex R, Alessandro L (2014) Clustering by fast search and find of density peaks. Science 344:1492–1496CrossRef
20.
Zurück zum Zitat Li B, Luo B, Mao X (2013) A new approach to identifying the dynamic behavior of CNC machine tools with respect to different worktable feed speeds. Int J Mach Tools Manuf 72:73–84CrossRef Li B, Luo B, Mao X (2013) A new approach to identifying the dynamic behavior of CNC machine tools with respect to different worktable feed speeds. Int J Mach Tools Manuf 72:73–84CrossRef
21.
Zurück zum Zitat Li B, Li L, He H, Mao X, Jiang X, Peng Y (2019) Research on modal analysis method of CNC machine tool based on operational impact excitation. Int J Adv Manuf Technol: 1-20. Li B, Li L, He H, Mao X, Jiang X, Peng Y (2019) Research on modal analysis method of CNC machine tool based on operational impact excitation. Int J Adv Manuf Technol: 1-20.
22.
Zurück zum Zitat Peng Y, Li B, Mao X, Liu H, Qin C, He H (2018) A method to obtain the in-process FRF of a machine tool based on operational modal analysis and experiment modal analysis. Int J Adv Manuf Technol 95(9-12):3599–3607CrossRef Peng Y, Li B, Mao X, Liu H, Qin C, He H (2018) A method to obtain the in-process FRF of a machine tool based on operational modal analysis and experiment modal analysis. Int J Adv Manuf Technol 95(9-12):3599–3607CrossRef
Metadaten
Titel
Partition of the workspace for machine tool based on position-dependent modal energy distribution and clustering algorithm
verfasst von
Yili Peng
Bin Li
Xinyong Mao
Chunhui Li
Hongqi Liu
Fangyu Peng
Publikationsdatum
25.05.2020
Verlag
Springer London
Erschienen in
The International Journal of Advanced Manufacturing Technology / Ausgabe 3/2020
Print ISSN: 0268-3768
Elektronische ISSN: 1433-3015
DOI
https://doi.org/10.1007/s00170-020-05487-4

Weitere Artikel der Ausgabe 3/2020

The International Journal of Advanced Manufacturing Technology 3/2020 Zur Ausgabe

    Marktübersichten

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