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Sökning: id:"swepub:oai:DiVA.org:kth-143738" > A novel energy dema...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00003219naa a2200361 4500
001oai:DiVA.org:kth-143738
003SwePub
008140327s2014 | |||||||||||000 ||eng|
024a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-1437382 URI
024a https://doi.org/10.1016/j.jmsy.2013.12.0042 DOI
040 a (SwePub)kth
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Peng, Tao4 aut
2451 0a A novel energy demand modelling approach for CNC machining based on function blocks
264 1b Elsevier BV,c 2014
338 a print2 rdacarrier
500 a QC 20140327
520 a Energy efficiency remains one of the major issues in the machining domain. Today's machining systems are confronted with a number of new challenges, such as turbulent product demand and variations in production resources. Rapid and flexible energy modelling in a distributed and collaborative machining environment emerges as a new research area. Energy demand models in such an environment need to be practical, accurate, effective, scalable and reusable. Energy analysis and optimisation cannot be carried out once for all at the beginning. Instead, it is an on-going process. In this paper, the function block technique, i.e. IEC 61499, is used for the development of energy demand models as it brings advantages such as modularity, encapsulation, extensibility and reusability. A brief review on energy modelling and research on function blocks are given in the first part. A novel energy demand modelling approach based on function blocks is then proposed and elaborated. Three types of function blocks have been developed, i.e. machine tool dependent function blocks, state transition function blocks, and service interface function blocks. The first type, as the fundamental building blocks, is divided into two sub-types, machine component function block and machining state function block. Two case studies, based on a small 3-axis milling machine and an industrial production line respectively, are presented to demonstrate the possible applications using the function block-based model. Comprehensive discussions are given thereafter, including a pilot application of a distributed process planning system and a unique energy evaluation scheme. A confidence level associated energy rating system is proposed as the first step to turn energy consumption figures into useful indicators. The energy demand model based on function blocks developed here enhances the energy modelling and their practical implementations.
653 a CNC machining
653 a Function block
653 a Energy demand model
653 a Energy efficiency
653 a Energy ratings
653 a Sustainable machining
700a Xu, Xun4 aut
700a Wang, Lihuiu KTH,Industriell produktion4 aut0 (Swepub:kth)u1blju84
710a KTHb Industriell produktion4 org
773t Journal of manufacturing systemsd : Elsevier BVg 33:1, s. 196-208q 33:1<196-208x 0278-6125x 1878-6642
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-143738
8564 8u https://doi.org/10.1016/j.jmsy.2013.12.004

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Peng, Tao
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