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The effects of dynamic interaction between machine tool subsystems on cutting process stability

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Abstract

The dynamic interaction between different machine tool subsystems can be exploited to increase the machine cutting performance. Simplified models are proposed to define useful guidelines that maximize the material removal rate in milling processes in different industrial situations. Two different cases are presented: in the first one, the machine influence on spindle dynamics is considered and optimized. In the second case, the interaction between the control system and the machine tool mechanical structure is analyzed, suggesting control tuning criteria that maximize cutting process stability. The procedure is applied to a real industrial case: a five-axis machine tool with a bi-rotative head. Moreover, requirements for the applicability of the proposed approach are investigated and described by analytical formulas.

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References

  1. Altintas Y, Weck M (2004) Chatter stability of metal cutting and grinding. CIRP Ann Manuf Technol 53(2):619–642

    Article  Google Scholar 

  2. Mann B, Insperger T, Bayly P, Gabor S (2003) Stability of up-milling and downmilling, part 2: experimental verification. Int J Mach Tools Manuf 43(1):35–40

    Article  Google Scholar 

  3. Bayly PV, Mann BP, Schmitz TL, Peters DA, Gabor S, Insperger T (2002) Effects of radial immersion and cutting direction on chatter instability in end-milling. In: Proceedings of IMECE 2002, ASME

  4. Lee BY, Tarng YS, Ma SC (1995) Modelling of the process damping force in chatter vibration. Int J Mach Tools Manuf 35(7):951–962

    Article  Google Scholar 

  5. Bediaga I, Munoa J, Hernandez J, Lopez de Lecalle LN (2009) An automatic spindle speed selection strategy to obtain stability in high-speed milling. Int J Mach Tools Manuf 49(5):384–394

    Article  Google Scholar 

  6. Neugebauer R, Denkena B, Wegener K (2007) Mechatronic systems for machine tools. CIRP Ann 56(2):657–686

    Article  Google Scholar 

  7. Maj R, Modica F, Bianchi G (2006) Machine tools mechatronic analysis. Proc IME B J Eng Manufact 220(3):345–353

    Article  Google Scholar 

  8. Brecher C, Esser M, Witt S (2009) Interaction of manufacturing process and machine tool. CIRP Ann 58:588–607

    Article  Google Scholar 

  9. Witt S (2007) Integrierte Simulation von Maschine, Werkstuck and spanendem Fertigusprozess. Dissertation, RWTH Aachen University

  10. Altintas Y, Brecher C, Weck M, Witt Y (2005) Virtual machine tool. CIRP Ann 54(2):115–138

    Article  Google Scholar 

  11. Park S, Altintas Y, Movahhedy M (2003) Receptance coupling for end mills. Int J Mach Tools Manuf 43(9):889–896

    Article  Google Scholar 

  12. Schimtz TL, Duncan GS (2005) Three-component receptance coupling substructure analysis for tool point dynamics prediction. J Manuf Sci Eng 127:781–791

    Article  Google Scholar 

  13. Movahhedy MR, Gerami JM (2006) Prediction of spindle dynamics in milling by sub-structure coupling. Int J Mach Tools Manuf 46(3–4):243–251

    Article  Google Scholar 

  14. Duncan GS, Tummond MF, Schmitz TL (2005) An investigation of the dynamic absorber effect in high-speed machining. Int J Mach Tools Manuf 45(4–5):497–507

    Article  Google Scholar 

  15. Yigit AS, Ulsoy AG (2002) Dynamic stiffness evaluation for reconfigurable machine tools including weakly non-linear joint characteristics. Proc IME B J Eng Manufact 216:87

    Article  Google Scholar 

  16. Zatarain M, Lejardi E, Egana F (1998) Modular synthesis of machine tool. CIRP Ann 47(1):333–336

    Article  Google Scholar 

  17. Jen MU, Magrab EB (1996) The dynamic interaction of the cutting process, workpiece, and Lathe's structure in facing. J Manuf Sci Eng 118:348–358

    Article  Google Scholar 

  18. Altintas Y, Cao Y (2005) Virtual design and optimization of machine tool spindles. CIRP Ann 54(1):379–382

    Article  Google Scholar 

  19. Abele E, Altintas Y, Brecher C (2010) Machine tool spindle units. CIRP Ann Manuf Technol 59(2):781–802

    Article  Google Scholar 

  20. Cao H, Holkup H, Altintas Y (2011) A comparative study on the dynamics of high speed spindles with respect to different preload mechanisms. Int J Adv Manuf Technol. doi:10.1007/s00170-011-3356-9

  21. Cao Y, Altintas Y (2007) Modelling of spindle-bearing and machine tool systems for virtual simulation of milling operations. Int J Mach Tools Manuf 47:1342–1350

    Article  Google Scholar 

  22. Kolar P, Sulitka M, Janota M (2010) Simulation of dynamic properties of a spindle and tool system coupled with a machine tool frame. Int J Adv Manuf Technol. doi:10.1007/s00170-010-2917-7

  23. Kolar P, Holkup T (2007) Modeling of a machine tools spindle using a hybrid model. In Proceeding of the 3rd international conferencevirtual design and automation, 28–29 June 2007, Poznań, Poland Paper No. S05_06_01_kolar

  24. Brecher C, Witt S (2006) Simulation of machine process interaction with flexible multi-body simulation. In: Proceedings of the 9th CIRP international workshop on modeling of machining operations, Bled, Slovenia, pp 171–178

  25. Kim MS, Chung SC (2005) A systematic approach to design high-performance feed. Int J Mach Tools Manuf 45(12–13):1421–1435

    Article  Google Scholar 

  26. Alter DM, Tsao TC (1994) Stability of turning processes with actively controlled linear motor feed drives. Transaction of the ASME 116:298–307

    Article  Google Scholar 

  27. Korenev BG, Reznikov LM (1993) Dynamic vibration absorbers. Wiley, New York, p 11

    Google Scholar 

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Correspondence to Paolo Albertelli.

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Albertelli, P., Cau, N., Bianchi, G. et al. The effects of dynamic interaction between machine tool subsystems on cutting process stability. Int J Adv Manuf Technol 58, 923–932 (2012). https://doi.org/10.1007/s00170-011-3465-5

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  • DOI: https://doi.org/10.1007/s00170-011-3465-5

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