A new framework of energy-efficient manufacturing systems based on energy load profiles

被引:11
|
作者
Suwa, Haruhiko [1 ]
Samukawa, Tetsuo [1 ]
机构
[1] Setsunan Univ, 17-8 Ikedanaka Machi, Neyagawa, Osaka 5728508, Japan
关键词
Green manufacturing; Energy-efficient manufacturing system; Machine tools operation; Energy profiles; Mathematical model;
D O I
10.1016/j.procir.2015.10.011
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
It has become more crucial to apply energy-efficient optimization not only to individual manufacturing factors but the whole manufacturing systems with the aim of greening of manufacturing. This study proposes an energy-efficient optimization technique for operations in a flexible manufacturing system with several machine tools by introducing a concept of a processing mode and energy-load profile. This study focuses on how a processing mode, describing machining conditions involving energy-aware operations, is derived and conducts some cutting experiments. An optimization model to generate the energy load profile is also formulated and it is demonstrated that the energy load profile has a role of the basis for energy-efficient machining operations as well as the manufacturing system through some computational simulations. (C) 2015 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:313 / 317
页数:5
相关论文
共 50 条
  • [1] A Framework for Energy-Efficient Manufacturing using Digital Twins
    Mohamed, Nader
    Al-Jaroodi, Jameela
    2024 INTERNATIONAL CONFERENCE ON SMART APPLICATIONS, COMMUNICATIONS AND NETWORKING, SMARTNETS-2024, 2024,
  • [2] An energy-efficient load distribution framework for SDN controllers
    Madhukrishna Priyadarsini
    Shailesh Kumar
    Padmalochan Bera
    Mohammad Ashiqur Rahman
    Computing, 2020, 102 : 2073 - 2098
  • [3] An energy-efficient load distribution framework for SDN controllers
    Priyadarsini, Madhukrishna
    Kumar, Shailesh
    Bera, Padmalochan
    Rahman, Mohammad Ashiqur
    COMPUTING, 2020, 102 (09) : 2073 - 2098
  • [4] Energy-efficient scheduling for sustainable manufacturing systems with renewable energy resources
    Cui, Weiwei
    Li, Lin
    Lu, Zhiqiang
    NAVAL RESEARCH LOGISTICS, 2019, 66 (02) : 154 - 173
  • [5] Modeling and Verification of Reconfigurable and Energy-Efficient Manufacturing Systems
    Zhang, Jiafeng
    Khalgui, Mohamed
    Boussahel, WassimMohamed
    Frey, Georg
    Hon, ChiTin
    Wu, Naiqi
    Li, Zhiwu
    DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2015, 2015
  • [6] Energy-efficient scheduling in manufacturing companies: A review and research framework
    Gahm, Christian
    Denz, Florian
    Dirr, Martin
    Tuma, Axel
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2016, 248 (03) : 744 - 757
  • [7] An Energy-Efficient Context Management Framework for Ubiquitous Systems
    Bezerra, Vinicius
    Junior, Misael C.
    Valeria, Olga
    Neto, Constantino D.
    Leal, Liliam
    Lemos, Marcus
    Carvalho, Carlos G.
    Filho, Jose B.
    Holanda, Raimir
    Agoulmine, Nazim
    2013 IEEE 10TH INTERNATIONAL CONFERENCE ON AND 10TH INTERNATIONAL CONFERENCE ON AUTONOMIC AND TRUSTED COMPUTING (UIC/ATC) UBIQUITOUS INTELLIGENCE AND COMPUTING, 2013, : 697 - 702
  • [8] Digital Twins for Energy-Efficient Manufacturing
    Mohamed, Nader
    Lazarova-Molnae, Sanja
    Al-Jaroodi, Jameela
    2023 IEEE INTERNATIONAL SYSTEMS CONFERENCE, SYSCON, 2023,
  • [9] Energy-efficient production with additive manufacturing
    Yi L.
    Gläßner C.
    Krenkel N.
    Aurich J.C.
    ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, 2018, 113 (11): : 746 - 750
  • [10] Energy-efficient network processing based on netmap framework
    Redzovic, H.
    Vesovic, M.
    Smiljanic, A.
    Bjelica, M.
    ELECTRONICS LETTERS, 2017, 53 (06) : 407 - 409