Optimum selection of grinding parameters using process modelling and knowledge based system approach

Abstract The paper describes the development of a computerised system which makes use of knowledge engineering and process modelling for the optimum selection of grinding parameters. Based on the theoretical analysis of experimental data on basic grinding parameters, wheel wear and specific energy, process models have been developed which are constructed in such a way that they can be dynamically modified according to user input by a rule based system. The process models accommodate such grinding parameters as grinding force Ft′, specific energy Es, temperature Tmax, wheel wear parameters etc. The first stage of the selection procedure yields specifications of an appropriate wheel and a set of nominal grinding parameters for a given grinding situation. These can be evaluated in the second stage for burn-free grinding and/or grinding with maximum grinding ratio (‘G’). A repeated use of the evaluation procedure can yield optimum grinding parameters for a desired criterion, e.g., low grinding force, good surface finish.