Abstract
This paper is to present a rule-based cutting tool selecting expert system which has knowledge modules and rule bases. Besides, according to different process targets, the selection progress will apply corresponding constraints and rule modules. The logic of tool selection follows a decision-making procedure as an experienced engineers. The strategy of system is to guide the user through several standard steps: information input; feature recognition; selection of machining method; selection of tool material and type; calculation of process parameter and solving cutting problem. This system also has a modularized structure which allows adding new functions and new modules to expand knowledge base and data base. Modules involves in this system are composed of the user interface, knowledge acquisition facility, explanation facility, the knowledge base module, the inference engine and the database module.
Highlights
In mechanical manufacture industry, process planning involves scheduling resources, such as machine tools, work piece, cutting tools, operation sequence, processing parameters and the choice of auxiliary functions [1]
As commonly discussed in scientific literature, an online expert system which selecting process information applies fuzzy logic as reasoning mechanism to acquire the knowledge of mechanical engineers [5] (Wong and Hamouda 2003)
The knowledge of cutting process expert system mainly comes from two sources: experience of domain experts and technical documents [15]
Summary
Process planning involves scheduling resources, such as machine tools, work piece, cutting tools, operation sequence, processing parameters and the choice of auxiliary functions [1]. In order to acquire optimal process parameters subject to specific precision and surface quality, tool life expectancy and production time sunder different processing conditions, some theoretical and experimental work has been carried out by organizations in several countries [7,8,9] (Chien&Chou, 2001; Vivanco, Luis, Costa, & Ortiz 2004 and references therein). These expert systems mainly dealt with the geometrical matters and selection of cutting tools [10]. The proposed modularized muti-objective cutting process expert system implements the following features, such as component feature recognition; selecting tool material; selecting tool type and optimum cutting conditions and innovative design
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