Abstract
ABSTRACT Building cyber-physical system (CPS) models of machine tools is a key technology for intelligent manufacturing. The massive electronic data from a computer numerical control (CNC) system during the work processes of a CNC machine tool is the main source of the big data on which a CPS model is established. In this work-process model, a method based on instruction domain is applied to analyze the electronic big data, and a quantitative description of the numerical control (NC) processes is built according to the G code of the processes. Utilizing the instruction domain, a work-process CPS model is established on the basis of the accurate, real-time mapping of the manufacturing tasks, resources, and status of the CNC machine tool. Using such models, case studies are conducted on intelligent-machining applications, such as the optimization of NC processing parameters and the health assurance of CNC machine tools.
Highlights
Intelligent manufacturing is a core technology of the new industrial revolution that includes the digitization, networking, and intelligentization of the manufacturing industry
The part of this paper introduces the intelligent application of a cyber-physical system (CPS) model of a computer numerical control (CNC) machine tool work process with two specific case studies
A method is proposed to build a CPS model of a CNC machine tool work process based on instructiondomain electronic data analysis
Summary
Intelligent manufacturing is a core technology of the new industrial revolution that includes the digitization, networking, and intelligentization of the manufacturing industry. Most studies collected the operation status data, such as spindle current and spindle vibration, and analyzed it in the time and frequency domains, attempting to establish a CPS model for the work process of a CNC machine tool.
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