Adaptive Grinding Strategy Development

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Abstract:

Grinding performance can be influenced by various grinding conditions including workpiece materials properties, grinding wheel properties, grinding operational parameters and dressing operational parameters. In order to achieve stable optimal grinding performance, it is important to select the most suitable operational control parameters to match grinding requirement and to minimize the effects of grinding wheel wear and other changes in the process environment. The paper presents a simple adaptive control logic strategy for the selection of dressing and grinding conditions based on available sensing techniques. In this study, desirable grinding behaviour is discussed to demonstrate how to extract useful process information to guide process parameter adjustment for a stable satisfactory grinding performance.

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64-69

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October 2016

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© 2016 Trans Tech Publications Ltd. All Rights Reserved

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[1] X. Chen, W. B. Rowe, R. Cai, 2002, Precision Grinding Using CBN Wheels, Int. J. Mach. Tools & Manufact, v. 42, 585-593.

DOI: 10.1016/s0890-6955(01)00152-3

Google Scholar

[2] S. Malkin, Grinding Technology – Theory and Applications of Machining with Abrasives, Ellis Horwood Limited, (1989).

Google Scholar

[3] X. Chen, Systematic Consideration of Grinding Process Monitoring, Proceedings of the 8th Chinese Automation & Computer Science Conference in the UK, 21 September 2002, pp.175-178, Pacilantic International Ltd. ISBN 0953389057.

Google Scholar

[4] W. Brian Rowe, X. Chen, B. Mills, Towards an Adaptive Strategy for Dressing in Grinding Operations, Proceedings of the 31st Int. MATADOR Conference, April 1995, 415-420.

DOI: 10.1007/978-1-349-13796-1_63

Google Scholar

[5] X. Chen, Strategy for the selection of grinding wheel dressing conditions, Liverpool John Moores University (1995).

Google Scholar

[6] X. Chen, W. B. Rowe, D. R. Allanson, B. Mills, A Grinding Power Model for Selection of Dressing and Grinding Conditions, the Journal of Manufacturing Science and Engineering, Transactions of ASME, 1999, V. 121, n4, 632-637.

DOI: 10.1115/1.2833084

Google Scholar