Energy efficiency of machining operations: A review

被引:50
作者
Moradnazhad, Mariyeh [1 ]
Unver, Hakki Ozgur [2 ]
机构
[1] Middle East Tech Univ, Dept Mech Engn, Ankara, Turkey
[2] TOBB Univ Econ & Technol, Dept Mech Engn, Adv Mfg Lab, Ankara, Turkey
关键词
Energy efficiency; machining processes; parameter optimization; machine tool; MINIMIZING POWER-CONSUMPTION; RESPONSE-SURFACE METHODOLOGY; CUTTING PARAMETERS; TOOL WEAR; MULTIOBJECTIVE OPTIMIZATION; COMBINED CRITERION; GENETIC ALGORITHM; MATERIAL REMOVAL; FORCE; MODEL;
D O I
10.1177/0954405415619345
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Manufacturing processes are among the most energy intensive on earth. As negative ecological and economic impacts increase, reducing energy consumption is becoming critically important. In this article, a comprehensive overview of energy-saving strategies and opportunities for increasing energy efficiency in manufacturing operations is presented, with a focus on metal cutting processes. The issues and approaches involved in energy efficiency of machine tools and machining operations are reported in the literature and a structured research methodology is proposed for this purpose including prediction and modelling of machine energy consumption, determining the relationship between process energy consumption and process variables for material removal processes and optimization of cutting parameters in order to reduce energy consumption. Numerous techniques for increasing energy efficiency in manufacturing processes are identified and summarized, strengths and weaknesses of previous studies are discussed and potential avenues for future research are suggested.
引用
收藏
页码:1871 / 1889
页数:19
相关论文
共 101 条
  • [91] Uluer M.U., 2013, Proceedings of the 20th CIRP international conference on life cycle engineering, P141, DOI DOI 10.1007/978-981-4451-48-2_23
  • [92] Automated energy monitoring of machine tools
    Vijayaraghavan, A.
    Dornfeld, D.
    [J]. CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2010, 59 (01) : 21 - 24
  • [93] Walvekar A., 1970, IJPR, V8, P241
  • [94] Optimization of multi-pass milling using parallel genetic algorithm and parallel genetic simulated annealing
    Wang, ZG
    Rahman, M
    Wong, YS
    Sun, J
    [J]. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2005, 45 (15) : 1726 - 1734
  • [95] Xu Min., 2007, COMPUT AIDED APPL, V4, P341
  • [96] Multi-objective optimization of milling parameters - the trade-offs between energy, production rate and cutting quality
    Yan, Jihong
    Li, Lin
    [J]. JOURNAL OF CLEANER PRODUCTION, 2013, 52 : 462 - 471
  • [97] THE PREDICTION OF CUTTING FORCE IN BALL-END MILLING
    YANG, MY
    PARK, HD
    [J]. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 1991, 31 (01) : 45 - 54
  • [98] Design optimization of cutting parameters for turning operations based on the Taguchi method
    Yang, WH
    Tarng, YS
    [J]. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 1998, 84 (1-3) : 122 - 129
  • [99] Estimation of tool wear in orthogonal cutting using the finite element analysis
    Yen, YC
    Söhner, J
    Lilly, B
    Altan, T
    [J]. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2004, 146 (01) : 82 - 91
  • [100] Empirical power-consumption model for material removal in three-axis milling
    Yoon, Hae-Sung
    Lee, Jang-Yeob
    Kim, Min-Soo
    Ahn, Sung-Hoon
    [J]. JOURNAL OF CLEANER PRODUCTION, 2014, 78 : 54 - 62