On Building Models for the Grinding Process

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Abstract
A new technique of building models for the grinding process is introduced. The grinding model is postulated in terms of grain distributions on the abrasive wheel and kinematic grinding conditions. Transverse workpiece profiles are conjectured as sample realizations of the stochastic grinding process. The sample spectrum of experimentally ground workpiece profiles is proposed as a means to estimate parameters in the postulated model through a nonlinear regression method. A model for a specified grinding process was developed based upon ten workpieces ground within a preselected practical region. The model is limited to single-pass surface grinding without crossfeed. The model was evaluated in regard to its validity, versatility, and sensitivity.

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