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Dynamic feature based adaptive process planning for energy-efficient NC machining
Department of Production Engineering, KTH Royal Institute of Technology, Sweden.ORCID iD: 0000-0001-8679-8049
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Department of Production Engineering, KTH Royal Institute of Technology, Sweden. (Produktion och automatiseringsteknik, Production and Automation Engineering)
AVIC Chengdu Aircraft Industrial (Group) Ltd. Co., China.
2017 (English)In: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 66, no 1, 441-444 p.Article in journal (Refereed) Published
Abstract [en]

This paper presents a dynamic feature based adaptive process planning approach that can optimise machining cost, machining time and energy consumption simultaneously. The material removal volume of a dynamic feature is refined into non-overlapping volumes removed respectively by a single machining operation in which unified cutting mode is performed. Benefitting from this refinement, energy consumption is estimated analytically based on instantaneous cutting force as a function of real cutting parameters. Moreover, the cutting parameters assigned to each machining operation are optimised effectively in the unified cutting mode. This novel approach enhances the energy efficiency of NC machining through process planning.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 66, no 1, 441-444 p.
Keyword [en]
CAPP, Machining, Energy efficiency
National Category
Manufacturing, Surface and Joining Technology
Research subject
Production and Automation Engineering
Identifiers
URN: urn:nbn:se:his:diva-14108DOI: 10.1016/j.cirp.2017.04.015ISI: 000407985900110Scopus ID: 2-s2.0-85017550644OAI: oai:DiVA.org:his-14108DiVA: diva2:1140717
Available from: 2017-09-13 Created: 2017-09-13 Last updated: 2017-09-14Bibliographically approved

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Wang, LihuiWang, Wei
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CiteExportLink to record
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Citation style
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  • de-DE
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Output format
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