Selection of optimum machine parameters for maximum production rate (minimum time) criteria in single pass turning operations

The purpose of this work is to investigate and develop optimization techniques used for single pass turning operations on CNC machine lathes. The scope of this work is limited to the Maximum Production Rate Criterion (Minimum Time Criterion) for two machining variables, feed rate (f) and machining speed (v). Further, a comparison of three methods of finding the optimum solution will be made. The three methods used are: 1. A combined mathematical and graphical based optimisation technique 2. Real time simulated optimization on a CNC lathe 3. Neural networks to obtain optimum cutting conditions The comparison of optimum time with limited constraints using mathematical models and that of more optimised trends in CNC lathes give a better understanding of the accuracy of modern machine tools and limitations of models with limited constraints. Further, the neural network is also used as a decision making tool in determining the optimum cutting conditions. It is hoped that the neural network estimation of optimum cutting conditions are of reliable quantitative accuracy.