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Ford, Derek G.; Myers, Alan; Haase, Frerk; Lockwood, Stephen; Longstaff, Andrew P. (2013)
Publisher: Professional Engineering Publishing
Languages: English
Types: Article
Subjects: TJ
There is a requirement for improved three-dimensional surface characterisation and reduced tool wear when modern computer numerical control (CNC) machine tools are operating at high cutting velocities, spindle speeds and feed rates.\ud For large depths of cut and large material removal rates, there is a tendency for machines to chatter caused by selfexcited vibration in the machine tools leading to precision errors, poor surface finish quality, tool wear and possible\ud machine damage. This study illustrates a method for improving machine tool performance by understanding and adaptively controlling the machine structural vibration. The first step taken is to measure and interpret machine tool vibration and produce a structural model. As a consequence, appropriate sensors need to be selected and/or designed and then integrated to measure all self-excited vibrations. The vibrations of the machine under investigation need to be clearly understood by analysis of sensor signals and surface finish measurement. The active vibration control system has been\ud implemented on a CNC machine tool and validated under controlled conditions by compensating for machine tool vibrations on time-varying multi-point cutting operations for a vertical milling machine. The design of the adaptive control system using modelling, filtering, active vibration platform and sensor feedback techniques has been demonstrated to be successful.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • 1. Ford DG. Machining to microns - error avoidance or compensation. In: Conference proceedings of LAMADAMAP on laser metrology and machine performance II, Southampton Institute, UK, 1995, pp.41-52.
    • 2. Lui XW, Cheng K, Webb D, et al. Improved dynamic cutting force model in peripheral milling, Part II: experimental verification and prediction. Int J Adv Manuf Technology 2004; 24: 794-805.
    • 3. Fischer U. Fachkunde metall. Zurich, Switzerland: Europa Verlag, 1996.
    • 4. Tlusty J. High speed machining. CIRP Ann: Manuf Technol 1993; 42: 733-738.
    • 5. Tlusty J and Polacek M. The stability of the machine tool against self-excited vibration in machining. In: Production engineering research conference ASME, Pittsburgh, 1963.
    • 6. Tobias SA. Machine tool vibration. Glasgow: Blackie & Son, 1965.
    • 7. Kalmar-Nagy T, Stepan G and Moon FC. Subcritical Hopf bifurcation is the delay equation model for machine tool vibrations. Nonlinear Dyn 2001; 26: 121-142.
    • 8. Weck M. Me technische Untersuchung und Beurteilung. Berlin, Germany: Springer Verlag, 1997.
    • 9. Engin S and Altinas Y. Mechanics and dynamics of general milling cutters Part 1: helical end mills. Int J Mach Tools Manuf 2001; 41(15): 2195-2212.
    • 10. Engin S and Altinas Y. Mechanics and dynamics of general milling cutters Part 2: inserted cutters. Int J Mach Tools Manuf 2001; 41(15): 2213-2231.
    • 11. MAL (Manufacturing Automation Laboratories Inc.) www.maline.com.
    • 12. Hardwick B. Identification and solution of machine too chatter problems. In: Conference proceedings of LAMADAMAP on laser metrology and machine performance I, Southampton Institute, UK, 1993, pp.123-139.
    • 13. Janocha H. Adaptronics and smart structures. Berlin, Germany: Springer Verlag, 1999.
    • 14. Pneumont A. Vibration control of active structures. Dordrecht, the Netherlands: Kluwer Academic, 1997.
    • 15. Cao W, Cudney H and Waser R. Smart materials and structures. Proc Natl Acad Sci USA 1999; 96: 8330-8331.
    • 16. Rojas J and Liang C. Experimental investigations of active machine vibration control. Proc SPIE 1996; 2721: 373.
    • 17. Pan G, Xu H, Kwan CM, et al. Modelling and intelligent chatter control strategies for a lathe machine. Control Eng Pract 1996; 12: 1647-1658.
    • 18. Pan G. MDSP-200 and its application in vibration isolation. Technical Report, Intelligent Automation Inc, 1995.
    • 19. O'Reagan S, Miesner J, Aitken R, et al. Machine tool chatter reduction via active structural control. In: Second European conference on smart structures and materials, Glasgow, UK, 1994.
    • 20. Jang JL and Tarng YS. A study of the active vibration control of a cutting tool. J Mater Process Technol 1999; 95: 78-82.
    • 21. Ehmann C, Scho¨ nhoff and Nordmann R. Aktiv Schwingungsda¨ mpfung bei Portalfr a¨smachinen. Technical Report, University of Darmstadt, Germany, 2001.
    • 22. Rashid A and Nicolescu CM. Active vibration control in palletised workholding system for milling. Int J Mach Tools Manuf 2006; 46: 1626-1636.
    • 23. Døssing O. Strukturen pru¨fen - Teil 1: Mechanische Beweglichkeits-Messungen, Bru¨el & Kjaer Handbook. Glostrup, Denmark: K. Larsen & Søn A/S, 1989.
    • 24. Døssing O. Strukturen pru¨fen - Teil 2: Modalanalyse und Simulation, Bru¨el & Kjaer Handbook. Glostrup, Denmark: K. Larsen & Søn A/S, 1989.
    • 25. Evans DJ. Modal testing: Theory and practice. Letchworth, UK: Research Studies Press Ltd, 1984.
    • 26. Richardson M. Measurement and analysis of the dynamics of mechanical structures. In: Hewlett Packard conference for automotive and related industries, Detroit, MI, 1978.
    • 27. Richardson M. Global curve fitting of frequency response measurements using the rational frequency polynomial method. In: 3rd IMAC conference, Orlando, FL, 1985.
    • 28. Haase F, Lockwood S and Ford DG. Vibration modelling of machine tool structures. In: Conference proceedings of LAMDAMAP, University of Birmingham, UK, 2001, pp.137-146.
    • 29. Hansen CH and Snyder SD. Active control of sound and vibration. London, UK: Chapman & Hall, 1997.
    • 30. Lockwood S, Haase F and Ford DG. Active vibration control of machine tool structures -Part 1: DSP algorithms. In: Conference proceedings of LAMDAMAP, 2003, pp.441-450.
    • 31. Haase F, Lockwood S and Ford DG. Active vibration control of machine tool structures -Part 2: An experimental active vibration system. In: Conference proceedings of LAMDAMAP, 2003, pp.451-460.
    • 32. Kuo SM and Morgan DR. Active noise control systems. New York: Wiley, 1996.
    • 33. Hakansson L. Adaptive active control of machine tool vibration in a lathe. Doctoral Thesis, Lund University, Sweden, 1999.
    • 34. Stothers IM, Saunders TJ, McDonald AM, et al. Adaptive feedback control of sun roof flow oscillations. Proc Inst Acoust 1993; 15: 383-393.
    • 35. Morani M and Zafiriou E. Robust process control. Englewood Cliffs, NJ: Prentice-Hall, 1989.
    • 36. Widrow B and Stearns SD. Adaptive signal processing. Englewood Cliffs, NJ: Prentice Hall, 1985.
    • 37. Hayes MH. Statistical digital processing and modelling. New York: Wiley, 1996.
    • 38. Elliot S. Signal processing for active control. New York: Academic Press, 2001.
    • 39. Morani M. Implications for internal modal control for PID controllers. In: American control conference, Chicago, IL, 1992, Vol. 2, pp.661-666.
    • 40. Jiang X, Blunt L and Stout KJ. Development of a lifting wavelet representation for characterisation of surface topography. Proc R Soc Lond A 2000; 456: 1-31.
    • 41. Jiang X and Blunt L. Surface analysis techniques to optimise the performance of CNC machine tools. In: Proceedings of LAMADAMAP on laser metrology and machine performances VI, University of Huddersfield, UK, 2003, pp.107-117.
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