Autonomous System for Multistage Cylindrical Grinding

[+] Author and Article Information
Guoxian Xiao, Stephen Malkin, Kourosh Danai

Department of Mechanical Engineering, University of Massachusetts, Amherst, MA 01003

J. Dyn. Sys., Meas., Control 115(4), 667-672 (Dec 01, 1993) (6 pages) doi:10.1115/1.2899194 History: Received March 17, 1992; Revised February 09, 1993; Online March 17, 2008


An optimization strategy is presented for cylindrical plunge grinding operations. The optimization strategy is designed to minimize cycle time while satisfying production constraints. Monotonicity analysis together with local linearization are used to simplify the non-linear optimization problem and determine the process variables for the optimal cycle. At the end of each cycle, the uncertain parameters of the process are estimated from sensory data so as to provide a more accurate estimation of the optimal process variables for the subsequent cycle. The optimization strategy is validated both in simulation and for actual grinding tests.

Copyright © 1993 by The American Society of Mechanical Engineers
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