Dynamic model of the grinding process

Zhang, N; Kirpitchenko, I; Liu, DK

Dynamic model of the grinding process

Zhang, N

Kirpitchenko, I Liu, DK

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Publication Type:: Journal Article
Citation:: Journal of Sound and Vibration, 2005, 280 (1-2), pp. 425 - 432
Issue Date:: 2005-02-07

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Field	Value	Language
dc.contributor.author	Zhang, N https://orcid.org/0000-0001-6408-0044	en_US
dc.contributor.author	Kirpitchenko, I	en_US
dc.contributor.author	Liu, DK https://orcid.org/0000-0002-1581-5582	en_US
dc.date.issued	2005-02-07	en_US
dc.identifier.citation	Journal of Sound and Vibration, 2005, 280 (1-2), pp. 425 - 432	en_US
dc.identifier.issn	0022-460X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/405
dc.description.abstract	Grinding is one of the most versatile methods of removing material from machine parts to provide precise geometry. Dynamic analysis of the grinding process is necessary to reduce the surface waviness and roughness induced by vibrations, and to offer a machining accuracy in the order of nanometers. This research is to investigate the dynamic function of the grinding process. A new approach to determination of cutting factors in dynamic grinding is proposed. Attention is paid to the mechanisms of dynamic grinding from the kinematics viewpoint. A non-linear dynamic model is developed to investigate the dynamic characteristics of the grinding process. The model demonstrates that different vibration frequencies result in qualitatively different behavior of the grinding machine. The relationship between grinding force variations and vibration frequency is revealed. The formulas to calculate cutting force variations are given. A comparison of the theoretical transfer function of dynamic grinding and experimental one shows good matching. As a result, the paper significantly expands the opportunities of vibration control of grinding machines. © 2004 Elsevier Ltd. All rights reserved.	en_US
dc.relation.ispartof	Journal of Sound and Vibration	en_US
dc.relation.isbasedon	10.1016/j.jsv.2003.12.006	en_US
dc.subject.classification	Acoustics	en_US
dc.title	Dynamic model of the grinding process	en_US
dc.type	Journal Article
utslib.citation.volume	1-2	en_US
utslib.citation.volume	280	en_US
utslib.for	0913 Mechanical Engineering	en_US
utslib.for	02 Physical Sciences	en_US
utslib.for	09 Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CAS - Centre for Autonomous Systems
utslib.copyright.status	closed_access
pubs.issue	1-2	en_US
pubs.publication-status	Published	en_US
pubs.volume	280	en_US

Abstract:

Grinding is one of the most versatile methods of removing material from machine parts to provide precise geometry. Dynamic analysis of the grinding process is necessary to reduce the surface waviness and roughness induced by vibrations, and to offer a machining accuracy in the order of nanometers. This research is to investigate the dynamic function of the grinding process. A new approach to determination of cutting factors in dynamic grinding is proposed. Attention is paid to the mechanisms of dynamic grinding from the kinematics viewpoint. A non-linear dynamic model is developed to investigate the dynamic characteristics of the grinding process. The model demonstrates that different vibration frequencies result in qualitatively different behavior of the grinding machine. The relationship between grinding force variations and vibration frequency is revealed. The formulas to calculate cutting force variations are given. A comparison of the theoretical transfer function of dynamic grinding and experimental one shows good matching. As a result, the paper significantly expands the opportunities of vibration control of grinding machines. © 2004 Elsevier Ltd. All rights reserved.

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http://hdl.handle.net/10453/405