Exergy-based Energy Efficiency Evaluation Model for Machine Tools Considering Thermal Stability

被引:0
|
作者
Benjie Li
Huajun Cao
Bernard Hon
Lei Liu
Xi Gao
机构
[1] Chongqing University,State Key Laboratory of Mechanical Transmission
[2] University of Liverpool,School of Engineering
关键词
Machine tools; Comprehensive energy efficiency; Thermal stability; Exergy efficiency;
D O I
暂无
中图分类号
学科分类号
摘要
Machine tools, as the extensively used basic equipment of manufacturing industry, are characterized by intensive and inefficient energy consumption. With the launch and implementation of ISO 14955-1, energy efficiency has become an important criterion for machine tool evaluation. However, most ongoing research on energy efficiency evaluation of machine tools emphasizes on workpiece material removal energy efficiency and rarely considers energy consumption needed to ensure machining accuracy and accuracy consistency, especially energy consumption for thermal stability control of machine tools. In light of this, an exergy analysis based approach is presented to assess the comprehensive energy efficiency of machine tools, including energy consumption for material removal and thermal stability control. The key performance indexes of exergy efficiency, exergy destruction, and specific exergy consumption are analyzed. The feasibility of the proposed approach was demonstrated by a case study, in which the comprehensive energy efficiency of a machine tool was found to be 21.57% instead of 14.38% of material removal energy efficiency. The proposed method is more effective to evaluate the comprehensive energy efficiency, to support designers to design high-efficient machine tool and users to operate machine tool for green and precision machining.
引用
收藏
页码:423 / 434
页数:11
相关论文
共 50 条
  • [41] Exergy-Based Performance Assessment of the NASA Common Research Model
    Arntz, Aurelien
    Hue, David
    AIAA JOURNAL, 2016, 54 (01) : 88 - 100
  • [42] Stable and periodic solutions of an exergy-based model of population dynamics
    Sciubba, Enrico
    Zullo, Federico
    ENERGY, 2013, 58 : 202 - 209
  • [43] Tailoring Mission Effectiveness and Efficiency of a Ground Vehicle Using Exergy-Based Model Predictive Control (MPC)
    Jane, Robert
    Kim, Tae Young
    Glass, Emily
    Mossman, Emilee
    James, Corey
    ENERGIES, 2021, 14 (19)
  • [44] Thermal Error Reconstruction Model of Machine Tools Based on Temperature Similarity Evaluation
    Xu K.
    Li Z.
    Li G.
    Miao E.
    Tuo J.
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2024, 60 (05): : 288 - 295
  • [45] Research on Dynamic Integrated Energy Efficiency Model of CNC Machine Tools Based on DEVS
    Zhu, Shuo
    Zhang, Hua
    Jiang, Zhigang
    Gong, Qingshan
    2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2018, : 1380 - 1385
  • [46] Exergy-based control strategies for the efficient operation of building energy systems
    Sayadi, Saeed
    Tsatsaronis, George
    Morosuk, Tatiana
    Baranski, Marc
    Sangi, Roozbeh
    Mueller, Dirk
    JOURNAL OF CLEANER PRODUCTION, 2019, 241
  • [47] Exergy-based ecological network analysis for building and community energy systems
    Hinkelman, Kathryn
    Anbarasu, Saranya
    Zuo, Wangda
    ENERGY AND BUILDINGS, 2024, 303
  • [48] A decomposition method for the evaluation of component interactions in energy conversion systems for application to advanced exergy-based analyses
    Penkuhn, Mathias
    Tsatsaronis, George
    ENERGY, 2017, 133 : 388 - 403
  • [49] TOWARDS AN EXERGY-BASED EXPLOSION ENERGY MODEL FOR BOILING-LIQUID EXPANDING-VAPOR EXPLOSIONS
    Ramirez, Juan C.
    Smyth, Suzanne A.
    Ogle, Russel A.
    PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2011, VOL 9, 2012, : 683 - 688
  • [50] Measuring and decomposing Beijing's energy performance: an energy- and exergy-based perspective
    Bai, Jing
    Tu, Chuang
    Bai, Jiming
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2024, 26 (07) : 17617 - 17633