An economic machining process model using fuzzy non-linear programming and neural network

Abstract

This paper describes a computer-aided approach for the optimum selection of cutting conditions for a turning process. The approach includes a fuzzy non-linear programming and neural network model. In this paper, the fuzzy non-linear programming is employed to predict optimum cutting conditions in uncertain, ill-defined and vague situations of machining operations. The fuzzy non-linear programming provides ease of implementation, flexibility and a tolerant nature to arbitrary complexity in machining operations. In addition, in this paper, the output from the fuzzy non-linear programming model is also utilized to develop a neural network model for machinability assessment. © 1999 Taylor & Francis Group, LLC.