An Expert System Approach for Selecting a Multitasking CNC Machining Center
- Manocher Djassemi (California Polytechnic State University, San Luis Obispo)
In the selection of multitasking computer numerical control (CNC) machining centers, numerous features and complex configurations have to be considered. This paper presents the development of a knowledge base for an expert system decision support tool that identifies multitasking characteristics together with the make and model of advanced multitasking CNC centers. Knowledge acquisition is conducted using technical data sheets from major machine tool builders as a basis for the development of a structured rule-based expert system. The proposed system offers a graphical user interface function for data collection and display of decision outcomes. The developed system was validated using data collected from several machine tool builders. System testing shows satisfactory preliminary results in the configuration of multitasking CNC machines and the selection of a make and model. The system can be extended in terms of adding new machine features, makes and models. An example of user consultation demonstrates the feasibility of the developed expert system for industrial applications.
Keywords: knowledge management|multitasking CNC machining centers
How to Cite:
Djassemi, M., (2017) “An Expert System Approach for Selecting a Multitasking CNC Machining Center”, The Journal of Technology, Management, and Applied Engineering 33(3).