Empirical Modelling and Optimisation of Precision Grinding

Assessment of the grinding process quality includes the micro geometrical quantities. The efficient surface texture modelling and optimisation is therefore essential for the competitive grinding processes. The objectives of this paper refer to development of empirical surface texture models and optimisation of precision centreless grinding (CG) with recently developed, highly-efficient, sintered aluminium-oxide-nitride (A1ON) abrasive. Investigation has been carried out to study specific effects of the CG gap set-up, the dressing condition and the process kinematical factors on component surface texture parameters. Central composite design (CCD) of experiments and linear regression analysis (LRA) has been employed to develop surface texture models. The optimisation goals are combined in an objective function called desirability and solved by numerical nonlinear programming.