Energy consumption and surface roughness maps for low and moderate speed machining of Aluminum alloy 2014: An experimental study

被引:0
|
作者
Shaukat, Umer [1 ]
Gohery, Scott [2 ]
Molla, Tesfaye [2 ]
机构
[1] Pakistan Inst Engn & Appl Sci, Dept Mech Engn, Islamabad, Pakistan
[2] Univ Melbourne, Dept Mech Engn, Parkville, Vic 3010, Australia
关键词
energy map; specific cutting energy; roughness map; cutting forces; chip thickness; experimental study; FATIGUE-CRACK-GROWTH; MULTIOBJECTIVE OPTIMIZATION; CUTTING PARAMETERS; POWER-CONSUMPTION; TEMPERATURE; GENERATION;
D O I
10.3934/matersci.2023032
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The rising energy prices and soaring environmental concerns have put an immense pressure on the wide usage of machining processes. The total power consumption during machining includes the power consumed by the machine itself and the power used to remove the material from the workpiece. An accurate prediction of energy consumption during the machining process is the basis for energy reduction. In this study, the specific cutting energy and surface finish for low and moderate-speed orthogonal machining of the aluminum alloy 2014 are evaluated. The measured values for the specific cutting energy and surface roughness are presented as maps on a grid, which is based on the machining parameters including the following: (1) cutting speed and (2) undeformed chip thickness. The specific cutting energy map depicts low energy consumption values of 0.52 J/mm3 for the aluminum alloy 2014 at medium speed machining. The roughness maps depict high roughness values at high cutting speeds. Both maps help in optimizing the machining process to achieve a required surface roughness with minimal energy consumption. A review of a specific cutting energy map demonstrates that energy consumption decreases by increasing the cutting speeds. The decrease in energy consumption at moderate speeds corresponds to the low cutting forces. This potentially happens as a result of thermal softening of the material caused by adiabatic heating. This subsequently leads to an increase in the machinability of the aluminum alloy 2014 at moderate cutting speeds. Furthermore, the decreasing chip thickness and increasing shear angle as a result of increasing the cutting speed confirms the increased machinability of the workpiece at moderate speeds.
引用
收藏
页码:575 / 588
页数:14
相关论文
共 50 条
  • [41] Experimental Study on the Surface Roughness of 40Cr by Ultrasonic Finishing Machining
    Lu, Shuai Shuai
    Fu, Xiu Li
    Ze, Xiang Bo
    MECHANICAL ENGINEERING, MATERIALS SCIENCE AND CIVIL ENGINEERING II, 2014, 470 : 577 - 580
  • [42] Experimental research on aluminum alloy blade's surface roughness of integrate rotor based on four-axis high speed milling
    Bu, Guangbin
    Zhao, Can
    Zuo, Dunwen
    ADVANCES IN MACHINING AND MANUFACTURING TECHNOLOGY IX, 2008, 375-376 : 390 - +
  • [43] Experimental Study on Wear-resistance of machined surface in High Speed Milling Aviation Aluminum Alloy
    Fu, Xiuli
    Wang, Xiaoqin
    Pan, Yongzhi
    Qiao, Yang
    ADVANCES IN MATERIALS PROCESSING X, 2012, 500 : 117 - 122
  • [44] Experimental study of the temperature field generated during orthogonal machining of an aluminum alloy
    K. M. Vernaza-Peña
    J. J. Mason
    M. Li
    Experimental Mechanics, 2002, 42 : 221 - 229
  • [45] Experimental study of the temperature field generated during orthogonal machining of an aluminum alloy
    Vernaza-Peña, KM
    Mason, JJ
    Li, M
    EXPERIMENTAL MECHANICS, 2002, 42 (02) : 221 - 229
  • [46] Study on Surface Roughness and Fatigue Property of Abrasive Waterjet Peened Aluminum Alloy
    Lv, Zhe
    Hou, Rongguo
    Xue, Bing
    Xu, Jingpei
    Sun, Haocheng
    INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY, 2024,
  • [47] Surface roughness prediction of machined aluminum alloy with wire electrical discharge machining by different machine learning algorithms
    Ulas, Mustafa
    Aydur, Osman
    Gurgenc, Turan
    Ozel, Cihan
    JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, 2020, 9 (06): : 12512 - 12524
  • [48] Evaluation of Surface Roughness and Defect Formation after The Machining of Sintered Aluminum Alloy AlSi10Mg
    Struzikiewicz, Grzegorz
    Sioma, Andrzej
    MATERIALS, 2020, 13 (07)
  • [49] An approach for surface roughness prediction in machining based on multi-sensor fusion considering energy consumption
    Xie, Nan
    Zhou, Jun-Feng
    Zheng, Bei-Rong
    Surface Technology, 2018, 47 (09) : 240 - 249
  • [50] Experimental investigation and numerical study on evolution of surface roughness caused by ultrasonic shot peening of 2024 aluminum alloy sheet
    Wang, Cheng
    Guo, Zhiqiang
    Zhou, Bin
    Li, Baokun
    Fei, Shuhui
    Deng, Haishun
    Shen, Gang
    JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, 2024, 30 : 9061 - 9083