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A Study on Optimal Machine Setups Using an Energy Modeling Approach
Department of Engineering, Indiana University Purdue University Fort Wayne, Fort Wayne, IN, United States.
University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.ORCID iD: 0000-0001-8679-8049
2012 (English)In: 40th North American Manufacturing Research Conference 2012: Proceedings of NAMRI/SME, Society of Manufacturing Engineers, North American Manufacturing Research Institution of SME , 2012, p. 571-579Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, energy models are developed based on the kinematic and dynamic behaviors of chosen machine tools. One significant benefit of the developed energy models is their inherited relationship to the design variables involved in the manufacturing processes. Therefore, they 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 procedures of energy model development with direct relation to appropriate process parameters. The derived energy model is then used for simulation of drilling operations on aircraft components to demonstrate 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 manufacturing.

Place, publisher, year, edition, pages
Society of Manufacturing Engineers, North American Manufacturing Research Institution of SME , 2012. p. 571-579
Series
Transactions of the North American Manufacturing Research Institution of SME, ISSN 1047-3025 ; 40
Keywords [en]
Energy modeling, Kinematics, Dynamics, Parallel kinematic machine, Optimization, Green manufacturing
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-6423Scopus ID: 2-s2.0-84869860799ISBN: 9781622762477 (print)OAI: oai:DiVA.org:his-6423DiVA, id: diva2:559850
Conference
40th Annual North American Manufacturing Research Conference, NAMRC40, Notre Dame, IN, United States, June 4-8, 2012
Available from: 2012-10-10 Created: 2012-10-02 Last updated: 2020-08-11Bibliographically approved

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Wang, Lihui

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CiteExportLink to record
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Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
  • html
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  • asciidoc
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