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Dynamic feature based adaptive process planning for energy-efficient NC machining
KTH, Skolan för industriell teknik och management (ITM), Industriell produktion, Produktionssystem.ORCID-id: 0000-0001-8679-8049
KTH, Skolan för industriell teknik och management (ITM), Industriell produktion.
2017 (engelsk)Inngår i: CIRP annals, ISSN 0007-8506, E-ISSN 1726-0604, Vol. 66, nr 1, s. 441-444Artikkel i tidsskrift (Fagfellevurdert) 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.

sted, utgiver, år, opplag, sider
ELSEVIER SCIENCE BV , 2017. Vol. 66, nr 1, s. 441-444
Emneord [en]
CAPP, Machining, Energy efficiency
HSV kategori
Identifikatorer
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, id: diva2:1140182
Konferanse
67th General Assembly of International-Academy-for-Production-Engineering (CIRP), AUG 20-26, 2017, Lugano, SWITZERLAND
Merknad

QC 20170911

Tilgjengelig fra: 2017-09-11 Laget: 2017-09-11 Sist oppdatert: 2017-09-12bibliografisk kontrollert

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Wang, Lihui

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