This paper is concerned with the application of nonlinear programming methods to the surface grinding of steels and considers the specific case of plunge grinding. Performance equations based on a model of the process are presented and then optimized. Trade-off curves are established showing the best metal removal rate possible for given constraints on surface quality and at specified conditions of grinding wheel wear. Optimum values for the various parameters in the grinding process are also included. In addition, the sensitivity of steel grinding performance to nonoptimum choices of grinding wheel velocity and diameter is considered.

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