Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/3351917.3351979acmotherconferencesArticle/Chapter ViewAbstractPublication Pagesicair-cacreConference Proceedingsconference-collections
research-article

Digital Twin for NC Machining Using Complete Process Information Expressed by STEP-NC Standard

Published: 19 July 2019 Publication History

Abstract

The concept of Digital Twin has been accepted by more and more researchers and enterprises. Many applications of Digital Twin systems are reported such as airplane state monitor and smart factory. In addition, the digital twin is an important measure to achieve intelligent manufacturing and industry 4.0. The advancement of DT system in manufacturing environment is evident. However, current researches in manufacturing domain concentrated on the discussion of architecture optimization of digital twin system combining with existing cyber-physics researches. There are little research works reported practical DT system and discussed the technologies in implementation. Different from current works, this paper proposed an advanced Digital Twin system for CNC machine tool and discussed the critical enablers to make the DT system more practicality.
First, data stream from CAD/CAM to CNC is improved with the STEP-NC standard which containing more structured process data to enhance the information in virtual environment to reflect the real machining process. Second, hardware connection method with CNC system is summarized and a uniform interface for data accessing is proposed to simplify the development of DT system. At last, a virtual machining environment (software named "GrapeSim") is presented which contains three functions: estimating the machining state according to the accessed data from CNC; material removing simulation that synchronous with the real machining process to illustrate the geometry shape of machined workpiece; a web server that allowing other devices to obtain the data in virtual environment as a data source of cloud manufacturing.
The whole Digital Twin system is tested in COMAC, the manufacturer of ARJ21 and C919 jetliner, and all functions are proved stable and useful.

References

[1]
M. Grieves, Digital twin: Manufacturing excellence through virtual factory replication, White Pap.
[2]
F. Tao, H. Zhang, A. Liu, and A. Y. C. Nee (2019), Digital Twin in Industry: State-of-the-Art, IEEE Trans. Ind. Informatics, vol. 15, no. 4, pp. 2405--2415.
[3]
F. Tao, M. Zhang, J. Cheng, and Q. Qi (2017), Digital twin workshop: a new paradigm for future workshop, Comput. Integr. Manuf. Syst., vol. 23, no. 1.
[4]
C. Zhuang, J. Liu, H. Xiong, X. Ding, S. Liu, and G. Weng (2017), Connotation, architecture and trends of product digital twin, Comput. Integr. Manuf. Syst., vol. 23, no. 4, pp. 753--768.
[5]
A. Canedo (2016), Industrial IoT lifecycle via digital twins, in Eleventh IEEE/ACM/IFIP International Conference on Hardware/software Codesign & System Synthesis.
[6]
S. Weyer, T. Meyer, M. Ohmer, D. Gorecky, and D. Zuhlke (2016), Future Modeling and Simulation of CPS-based Factories: an Example from the Automotive Industry, Ifac Pap., vol. 49, no. 31, pp. 97--102.
[7]
G. L. G. Rosen Roland von Wichert, About The Importance of Autonomy and Digital Twins for the Future of Manufacturing, Ifac Pap., 2015.
[8]
F. Ameri and R. Sabbagh (2016), Digital Factories for Capability Modeling and Visualization, in Ifip International Conference on Advances in Production Management Systems.
[9]
C. Lehmann (2017), The digital twin: Realizing the cyber-physical production system for industry 4.0, Procedia Cirp, vol. 61, pp. 335--340.
[10]
R. Söderberg, K. Wärmefjord, J. S. Carlson, and L. Lindkvist (2017), Toward a Digital Twin for real-time geometry assurance in individualized production, CIRP Ann. - Manuf. Technol.
[11]
H. T. Yau and L. Sen Tsou (2009), Efficient NC Simulation for Multi-Axis Solid Machining With a Universal APT Cutter, J. Comput. Inf. Sci. Eng., vol. 9, no. 2, pp. 375--389.
[12]
E. Aras and D. Yip-Hoi, State-of-the-Art in Geometric Modeling for Virtual Machining, in ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2012, pp. 737--750.

Cited By

View all
  • (2024)A Novel Method for Updating Time-Varying Information of Milling Thin-Walled Components Based on Digital Twin ModelIEEE Sensors Journal10.1109/JSEN.2023.334202524:3(2531-2546)Online publication date: 1-Feb-2024
  • (2024)Extending the Digital Twin Ecosystem: A real-time Digital Twin of a LinuxCNC-controlled subtractive manufacturing machineJournal of Manufacturing Systems10.1016/j.jmsy.2024.05.01274(1057-1066)Online publication date: Jun-2024
  • (2024)Manufacturing crisis and twin-oriented manufacturingJournal of Manufacturing Systems10.1016/j.jmsy.2024.02.00273(205-222)Online publication date: Apr-2024
  • Show More Cited By

Index Terms

  1. Digital Twin for NC Machining Using Complete Process Information Expressed by STEP-NC Standard

    Recommendations

    Comments

    Please enable JavaScript to view thecomments powered by Disqus.

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    CACRE2019: Proceedings of the 2019 4th International Conference on Automation, Control and Robotics Engineering
    July 2019
    478 pages
    ISBN:9781450371865
    DOI:10.1145/3351917
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    In-Cooperation

    • Sichuan University

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 19 July 2019

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. Digital Twin
    2. Machining Simulation
    3. On-line machine tool monitor
    4. STEP-NC

    Qualifiers

    • Research-article
    • Research
    • Refereed limited

    Funding Sources

    • ?Special Program? of Ministry of Industry and Information Technology, 2017, China

    Conference

    CACRE2019

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)43
    • Downloads (Last 6 weeks)6
    Reflects downloads up to 30 Sep 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)A Novel Method for Updating Time-Varying Information of Milling Thin-Walled Components Based on Digital Twin ModelIEEE Sensors Journal10.1109/JSEN.2023.334202524:3(2531-2546)Online publication date: 1-Feb-2024
    • (2024)Extending the Digital Twin Ecosystem: A real-time Digital Twin of a LinuxCNC-controlled subtractive manufacturing machineJournal of Manufacturing Systems10.1016/j.jmsy.2024.05.01274(1057-1066)Online publication date: Jun-2024
    • (2024)Manufacturing crisis and twin-oriented manufacturingJournal of Manufacturing Systems10.1016/j.jmsy.2024.02.00273(205-222)Online publication date: Apr-2024
    • (2023)A review of unit level digital twin applications in the manufacturing industryCIRP Journal of Manufacturing Science and Technology10.1016/j.cirpj.2023.06.01145(162-189)Online publication date: Oct-2023
    • (2022)State-of-the-art survey on digital twin implementationsAdvances in Manufacturing10.1007/s40436-021-00375-w10:1(1-23)Online publication date: 4-Jan-2022
    • (2022)Design Principles for Shared Digital Twins in Distributed SystemsBusiness & Information Systems Engineering10.1007/s12599-022-00751-164:6(751-772)Online publication date: 15-Apr-2022
    • (2022)A digital twin defined autonomous milling process towards the online optimal control of milling deformation for thin-walled partsThe International Journal of Advanced Manufacturing Technology10.1007/s00170-022-10667-5124:7-8(2847-2861)Online publication date: 19-Dec-2022
    • (2022)Review on Advanced CNC Controller for Manufacturing in Industry 4.0Enabling Industry 4.0 through Advances in Manufacturing and Materials10.1007/978-981-19-2890-1_26(261-269)Online publication date: 26-Aug-2022
    • (2021)How Digital Twin Concept Supports Internal Transport Systems?—Literature ReviewEnergies10.3390/en1416491914:16(4919)Online publication date: 11-Aug-2021
    • (2021)A review of G code, STEP, STEP-NC, and open architecture control technologies based embedded CNC systemsThe International Journal of Advanced Manufacturing Technology10.1007/s00170-021-06741-z114:9-10(2549-2566)Online publication date: 17-Apr-2021
    • Show More Cited By

    View Options

    Get Access

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media