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A model-based approach for online estimation of surface waviness in roll grinding

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Abstract

Vibrations onset represents a paramount issue in all grinding processes. The related surface defects appear in the form of micrometric waviness that decreases the finishing quality and in some cases the functionality of the ground workpieces: sometimes, these defects can be also marked on the grinding wheel surface. This paper presents an online model-based approach to identify and quantify the level of waviness starting from multiple acceleration measurements, allowing a continuous monitoring of wheel and/or workpiece defects. The identification algorithm, that exploits a linear model of machine and process dynamics, is based on the application of Least Squares method in the frequency domain. Experiments confirm the good performance of the algorithm that, hence, can be exploited for developing advanced control schemes of the grinding process.

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References

  1. Inasaki I et al (2001) Grinding chatter origin and suppression. CIRP Ann Manuf Technol 50:515–534

    Article  Google Scholar 

  2. Tönshoff HK et al (2002) Process monitoring in grinding. CIRP Ann Manuf Technol 51(2):551–571, ISSN 0007-8506

    Article  Google Scholar 

  3. Gonzalez-Brambila O et al (2006) Chattering detection in cylindrical grinding processes using the wavelet transform. Int J Mach Tools Manuf 46:1934–1938

    Article  Google Scholar 

  4. Brinksmeier E, Werner F (1992) Monitoring of grinding wheel wear. CIRP Ann Manuf Technol 41(1):373–376

    Article  Google Scholar 

  5. Biermann D, Feldhoff M (2011) Influence of controlled tool orientation on pattern formation and waviness in surface grinding. Prod Eng 5(1):31–36

    Article  Google Scholar 

  6. Gradisek J et al (2003) Automatic chatter detection in grinding. Int J Mach Tools Manuf 43:1397–1403

    Article  Google Scholar 

  7. Wakuda M et al (1993) Monitoring of the grinding process with an AE sensor integrated CBN wheel. J Adv Autom Technol 5(4):179–184

    Google Scholar 

  8. Varghese B et al (2000) Development of a sensor-integrated “Intelligent” grinding wheel for in-process monitoring. CIRP Ann Manuf Technol 49(1):231–234, ISSN 0007-8506

    Article  MathSciNet  Google Scholar 

  9. Batako ADL, Goh SY (2014) Workpiece roundness profile in the frequency domain an application in cylindrical plunge grinding. Int J Adv Manuf Technol

  10. Wu CY (2003) Surface quality assessment using vibration signals for transverse roll grinding. China Steel Tech Rep 17:37–42

    Google Scholar 

  11. Thompson RA (1973) The character of regenerative chatter in cylindrical grinding. J Eng Ind 95(3):858–864

    Article  Google Scholar 

  12. Inasaki I, Yonetsu S (1977) Regenerative chatter in grinding. Proc 18th Int Machine Tool Design and Research Conf 423–429

  13. Rowe WB (2009) Principles of modern grinding technology. William Andrew, First edition, ISBN: 978-0-81-552018-4

  14. Symens W et al (2008) Identification of interpolating affine LPV models for mechatronic systems with one varying parameter. Eur J Control 14(1):16–29. doi:10.3166/ejc.14.16-29

    Article  MathSciNet  Google Scholar 

  15. Alvarez J et al (2013) Avoiding chatter in traverse cylindrical grinding by continuous workpiece speed variation. J Manuf Sci Eng 135(5):5. doi:10.1115/1.4024820

    Article  Google Scholar 

  16. Leonesio M et al (2012) A time-domain surface grinding model for dynamic simulation, 3rd CIRP conference on process machine interactions. CIRP Procedia 4:166–171

    Article  Google Scholar 

  17. Norgia M et al (2010) Dedicated optical instruments for ultrasonic welder inspection and control. Measurement 43(1):39–45

    Article  Google Scholar 

  18. Marinescu ID et al Handbook of machining with grinding wheels. CRC Press, Taylor & Francis Book, ISBN 9781574446715

Download references

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Correspondence to Paolo Parenti.

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Parenti, P., Leonesio, M., Cassinari, A. et al. A model-based approach for online estimation of surface waviness in roll grinding. Int J Adv Manuf Technol 79, 1195–1208 (2015). https://doi.org/10.1007/s00170-015-6864-1

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  • DOI: https://doi.org/10.1007/s00170-015-6864-1

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