Review of Knowledge Based Engineering and its Applicability to Optimization of Machining Processes

Abstract

The knowledge capturing methods have evolved from computer-aided design (CAD) to Knowledge-based engineering (KBE). The KBE systems have been successfully implemented in different fields. Most of the KBE systems were geometry focus. One of the features of the KBE approach is to automate repetitive, non-creative tasks. The optimization of machining process is a repetitive, trial and error and experience-based process. A KBE system for optimizing machining process will help the designers and manufacturing planners to select an optimal set of cutting tools and cutting conditions for different material properties and to give users alternatives on how to reduce cost and time. The methodology of this research consists of reviewing different KBE methodologies and developing KBE model for the machining process. A suitable knowledge-based system was proposed to generate optimum solutions for machining processes by integrating CAD, computer-aided manufacturing (CAM), material selection, costing and empirical equations.