his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Energy Modeling of Machine Tools for Optimization of Machine Setups
Indiana University Purdue University Fort Wayne.
University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.
2012 (English)In: IEEE Transactions on Automation Science and Engineering, ISSN 1545-5955, E-ISSN 1558-3783, Vol. 9, no 3, p. 607-613Article in journal (Refereed) Published
Abstract [en]

In this paper, a new energy model is developed based on the kinematic and dynamic behaviors of a chosen machine tool. One significant benefit of the developed energy model is their inherited relationship to the design variables involved in the manufacturing processes. Without radical changes of the machine tool’s structure, the proposed model can be readily applied to optimize process parameters to reduce energy consumption. A new parallel kinematic machine Exechon is used as a case study to demonstrate the modeling procedure. The derived energy model is then used for simulation of drilling operations on aircraft components to verify its feasibility. Simulation results indicate that the developed energy model has led to an optimized machine setup which only consumes less than one-third of the energy of an average machine setup over the workspace. This approach can be extended and applied to other machines to establish their energy models for green and sustainable manufacturing.

Place, publisher, year, edition, pages
New York: IEEE Robotics and Automation Society, 2012. Vol. 9, no 3, p. 607-613
Keyword [en]
Dynamics, energy modeling, green manufacturing, kinematics, metrics, optimization, parallel kinematic machine
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-6572DOI: 10.1109/TASE.2012.2195173ISI: 000309841800014Scopus ID: 2-s2.0-84863452951OAI: oai:DiVA.org:his-6572DiVA: diva2:562615
Available from: 2012-10-25 Created: 2012-10-25 Last updated: 2017-12-07Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Wang, Lihui

Search in DiVA

By author/editor
Wang, Lihui
By organisation
The Virtual Systems Research CentreSchool of Technology and Society
In the same journal
IEEE Transactions on Automation Science and Engineering
Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 381 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf