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.
Similar content being viewed by others
References
Inasaki I et al (2001) Grinding chatter origin and suppression. CIRP Ann Manuf Technol 50:515–534
Tönshoff HK et al (2002) Process monitoring in grinding. CIRP Ann Manuf Technol 51(2):551–571, ISSN 0007-8506
Gonzalez-Brambila O et al (2006) Chattering detection in cylindrical grinding processes using the wavelet transform. Int J Mach Tools Manuf 46:1934–1938
Brinksmeier E, Werner F (1992) Monitoring of grinding wheel wear. CIRP Ann Manuf Technol 41(1):373–376
Biermann D, Feldhoff M (2011) Influence of controlled tool orientation on pattern formation and waviness in surface grinding. Prod Eng 5(1):31–36
Gradisek J et al (2003) Automatic chatter detection in grinding. Int J Mach Tools Manuf 43:1397–1403
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
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
Batako ADL, Goh SY (2014) Workpiece roundness profile in the frequency domain an application in cylindrical plunge grinding. Int J Adv Manuf Technol
Wu CY (2003) Surface quality assessment using vibration signals for transverse roll grinding. China Steel Tech Rep 17:37–42
Thompson RA (1973) The character of regenerative chatter in cylindrical grinding. J Eng Ind 95(3):858–864
Inasaki I, Yonetsu S (1977) Regenerative chatter in grinding. Proc 18th Int Machine Tool Design and Research Conf 423–429
Rowe WB (2009) Principles of modern grinding technology. William Andrew, First edition, ISBN: 978-0-81-552018-4
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
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
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
Norgia M et al (2010) Dedicated optical instruments for ultrasonic welder inspection and control. Measurement 43(1):39–45
Marinescu ID et al Handbook of machining with grinding wheels. CRC Press, Taylor & Francis Book, ISBN 9781574446715
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
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
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00170-015-6864-1