This paper evaluates the performance and limitations of a simple algorithm to detect contact and release events in reciprocating surface grinding by processing the output of a piezoelectric force transducer. It efficiently detects these events independent of workpiece material, wheel type, or grinding conditions (except for dry grinding with low material removal rates). The purpose of this algorithm is to prevent force overshoot at the beginning of engagement in the study of subsurface plastic deformation.
Issue Section:
Technical Brief
1.
Razavi, H. A., 2000, “Identification and Control of Grinding Processes for Intermetallic Compounds,” Doctoral Dissertation, Georgia Institute of Technology.
2.
Razavi
, H. A.
, and Kurfess
, T. R.
, 2001
, “Force Control of a Reciprocating Surface Grinder Using Unfalsification and Learning Concept
,” International Journal of Adaptive Control and Signal Processing
, 15
(5
), pp. 503
–518
, August.3.
Thomas
, D. A.
, Allanson
, D. R.
, Moruzzi
, J. L.
, and Rowe
, W. B.
, 1995
, “In-process Identification of System Time Constant for the Adaptive Control of Grinding
,” ASME J. Eng. Ind.
, 117
(2
), May, pp. 194
–201
.Copyright © 2003
by ASME
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