Energy-efficient machining via energy data integration

Tao Peng, Xun Xun Xu, Juhani Heilala

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

Energy-efficient machining strategies are required to be implemented in day-to-day practice to advance the competitiveness of the enterprises on global scale. Energy information, which currently considered as integral part of the production data, is studied in this paper. A need is identified to integrate energy information into production program and solidify the knowledge for extensive reference. To effectively represent and share the data, standardised format is regarded as one promising approach, thus STEP-NC is adopted. The proposed data models are grouped into four, i.e. automated energy monitoring and recording, energy estimation and labelling, energy optimisation, and machine tool energy performance. The developed schema is compliant and harmonized with other parts within the standard. One implementation of adding energy information to STEP-NC file is presented as case study. It can be concluded that standardised data format enables the integration of energy information into the production process and enhances its sustainable performance.
Original languageEnglish
Title of host publicationAdvances in Production Management Systems. Competitive Manufacturing for Innovative Products and Services
Subtitle of host publicationAPMS 2012
PublisherSpringer
Pages17-24
ISBN (Electronic)978-3-642-40352-1
ISBN (Print)978-3-642-40351-4
DOIs
Publication statusPublished - 2013
MoE publication typeNot Eligible
EventIFIP WG 5.7 International Conference, APMS 2012 - Rhodes, Greece
Duration: 24 Sep 201226 Sep 2012

Publication series

SeriesIFIP Advances in Information and Communication Technology
VolumeVolume 397
ISSN1868-4238

Conference

ConferenceIFIP WG 5.7 International Conference, APMS 2012
Abbreviated titleAPMS 2012
CountryGreece
CityRhodes
Period24/09/1226/09/12

Fingerprint

Data integration
Machining
Machine tools
Labeling
Data structures
Monitoring
Industry

Keywords

  • energy efficient machining
  • STEP-NC data model

Cite this

Peng, T., Xun Xu, X., & Heilala, J. (2013). Energy-efficient machining via energy data integration. In Advances in Production Management Systems. Competitive Manufacturing for Innovative Products and Services: APMS 2012 (pp. 17-24). Springer. IFIP Advances in Information and Communication Technology, Vol.. Volume 397 https://doi.org/10.1007/978-3-642-40352-1_3
Peng, Tao ; Xun Xu, Xun ; Heilala, Juhani. / Energy-efficient machining via energy data integration. Advances in Production Management Systems. Competitive Manufacturing for Innovative Products and Services: APMS 2012. Springer, 2013. pp. 17-24 (IFIP Advances in Information and Communication Technology, Vol. Volume 397).
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Peng, T, Xun Xu, X & Heilala, J 2013, Energy-efficient machining via energy data integration. in Advances in Production Management Systems. Competitive Manufacturing for Innovative Products and Services: APMS 2012. Springer, IFIP Advances in Information and Communication Technology, vol. Volume 397, pp. 17-24, IFIP WG 5.7 International Conference, APMS 2012, Rhodes, Greece, 24/09/12. https://doi.org/10.1007/978-3-642-40352-1_3

Energy-efficient machining via energy data integration. / Peng, Tao; Xun Xu, Xun; Heilala, Juhani.

Advances in Production Management Systems. Competitive Manufacturing for Innovative Products and Services: APMS 2012. Springer, 2013. p. 17-24 (IFIP Advances in Information and Communication Technology, Vol. Volume 397).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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Peng T, Xun Xu X, Heilala J. Energy-efficient machining via energy data integration. In Advances in Production Management Systems. Competitive Manufacturing for Innovative Products and Services: APMS 2012. Springer. 2013. p. 17-24. (IFIP Advances in Information and Communication Technology, Vol. Volume 397). https://doi.org/10.1007/978-3-642-40352-1_3