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Dynamic feature based adaptive process planning for energy-efficient NC machining
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.ORCID iD: 0000-0001-8679-8049
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
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. (C) 2017 Published by Elsevier Ltd on behalf of CIRP.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE BV , 2017. Vol. 66, no 1, 441-444 p.
Keyword [en]
CAPP, Machining, Energy efficiency
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-213919DOI: 10.1016/j.cirp.2017.04.015ISI: 000407985900110Scopus ID: 2-s2.0-85017550644OAI: oai:DiVA.org:kth-213919DiVA: diva2:1140182
Conference
67th General Assembly of International-Academy-for-Production-Engineering (CIRP), AUG 20-26, 2017, Lugano, SWITZERLAND
Note

QC 20170911

Available from: 2017-09-11 Created: 2017-09-11 Last updated: 2017-09-12Bibliographically approved

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Wang, Lihui

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