A cyber-physical machine tool framework based on STEP-NC

Tsubasa Kubota, Chao Liu, Khamdi Mubarok, Xun Xu

Research output: Journal article publicationConference articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Cyber-Physical Machine Tool (CPMT) is one of the main concepts that has emerged with the rise of Industry 4.0 and Machine Tool 4.0. It integrates the physical machine tool and machining processes with computation and networking by creating a Machine Tool Digital Twin (MTDT). Standard for the Exchange of Product data compliant Numerical Control (STEP-NC) defines a machine independent bi-directional data standard for Computer Numerical Control (CNC) systems. It is capable of transferring richer information compared to conventional G-codes. All machine tools in the manufacturing field have physical variances between each other which affect the final machining quality. At present, physical variances between machines are manually compensated by human experiences which is not a consistent method. In this paper, we propose an intelligent CPMT framework for machining parameter optimization based on STEP-NC data model with the capability of taking the physical variances between machine tools into account. This framework correlates real-time physical and numerical data of the machine tool with the rich machining information contained in the STEP-NC model to establish a sustainable machining knowledge base. Established machining knowledge base is utilized for both offline and real-time machining parameter optimizations inside the framework.

Original languageEnglish
JournalProceedings of International Conference on Computers and Industrial Engineering, CIE
Volume2018-December
Publication statusPublished - 2018
Externally publishedYes
Event48th International Conference on Computers and Industrial Engineering, CIE 2018 - Auckland, New Zealand
Duration: 2 Dec 20185 Dec 2018

Keywords

  • Cyber-Physical Machine Tool (CPMT)
  • Cyber-Physical System (CPS)
  • OPC UA
  • Smart Manufacturing
  • STEP NC

ASJC Scopus subject areas

  • Computer Science(all)
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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