Optimal Selection of Cutting Parameters for Surface Roughness in Milling Machining of AA6061-T6

被引:10
|
作者
Narooei, K. Danesh [1 ]
Ramli, R. [2 ]
机构
[1] Univ Sistan & Baluchestan, Fac Ind & Mine Khash, Dept Ind Engn, Zahedan, Iran
[2] Univ Kebangsaan Malaysia, Fac Engn & Built Environm, Dept Mech & Mfg Engn, Bangi, Malaysia
来源
INTERNATIONAL JOURNAL OF ENGINEERING | 2022年 / 35卷 / 06期
关键词
Milling Machining; Surface Roughness; AA6061-T6; Cutting Parameters; MECHANICAL-PROPERTIES; OPTIMIZATION; PREDICTION;
D O I
10.5829/ije.2022.35.06c.08
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Due to its ability to remove material quickly while maintaining optimum surface quality, end milling is considered one of the most frequent metal cutting procedures in industry. The present study aimed to investigate the impacts of cutting parameters and tool geometry on milling of Aluminum Alloy 6061-T6 to examine the impact surface roughness by utilizing response surface methodology (RSM). RSM was used to create a second-order mathematical model of surface roughness for this purpose. A multiple regression analysis used the analysis of variance to demonstrate the effect of machining settings on surface roughness and determine experiment performance. The trials for optimizing surface roughness were set up utilizing the central composite design (CCD) method and various cutting parameters such as spindle speed, feed rate and depth of cut. Also the parameters used in tool geometry are the radial rake angle (10, 13, 16, 19 and 22 degrees), and nose radius (0, 0.2, 0.4, 0.6 and 0.8 mm). The result shows that the nose radius has more significant effect on the surface roughness followed by the radial rake angle. Moreover, the effect of the depth of cut on surface roughness is more dominant than cutting speed. The optimum combinations of cutting and tool geometry parameters were cutting speed (60.53 m/min), feed rate (0.025 mm/tooth), depth of cut (0.84 mm), radial rake angle (12.72 degree) and nose radius (0.34 mm).
引用
收藏
页码:1170 / 1177
页数:8
相关论文
共 50 条
  • [31] Application of Response Surface Methodology in optimizing the process parameters of Twist Extrusion process for AA6061-T6 aluminum alloy
    Iqbal, U. Mohammed
    Kumar, V. S. Senthil
    Gopalakannan, S.
    MEASUREMENT, 2016, 94 : 126 - 138
  • [32] Optimal selection of milling parameters and cutting tools
    Cus, F.
    Balic, J.
    Veza, I.
    Annals of DAAAM for 2005 & Proceedings of the 16th International DAAAM Symposium: INTELLIGENT MANUFACTURING & AUTOMATION: FOCUS ON YOUNG RESEARCHES AND SCIENTISTS, 2005, : 81 - 82
  • [33] Effect of Process Parameters on Hot Cracking During Laser Fillet Welding of AA6061-T6
    Rakhi, Km
    Shin, Joonghan
    METALS AND MATERIALS INTERNATIONAL, 2025,
  • [34] Effect of MQL on Surface Roughness in Milling of AA7075-T6
    Tosun, Nihat
    Huseyinoglu, Mesut
    MATERIALS AND MANUFACTURING PROCESSES, 2010, 25 (08) : 793 - 798
  • [35] Fatigue behaviour of FS, LB and MIG welds of AA6061-T6 and AA6082-T6
    Moreira, P.M.G.P.
    Richter-Trummer, V.
    De Castro, P.M.S.T.
    Solid Mechanics and its Applications, 2008, 152 : 85 - 111
  • [36] Influence of Friction Stir Welding Parameters on Dissimilar Joints AA6061-T6 and AA5052-H32
    Balamurugan, S.
    Jayakumar, K.
    Subbaiah, K.
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2021, 46 (12) : 11985 - 11998
  • [37] Influence of Friction Stir Welding Parameters on Dissimilar Joints AA6061-T6 and AA5052-H32
    S. Balamurugan
    K. Jayakumar
    K. Subbaiah
    Arabian Journal for Science and Engineering, 2021, 46 : 11985 - 11998
  • [38] The Radius Size Variation Effects on Fatigue Strength of AA6061-T6 and AA6061-O Alloys
    Saleh, Ali Hassan
    Ali, Mohammed Ali Nasser
    Ismail, Muammar Ibrahim
    Abood, Adnan Namaa
    2ND INTERNATIONAL CONFERENCE ON SUSTAINABLE ENGINEERING TECHNIQUES (ICSET 2019), 2019, 518
  • [39] Precipitation in the Nugget Zone of AA6061-T6 by Friction Stir Welding
    Tao, Wang
    Yong, Zou
    Matsuda, Kenji
    CHIANG MAI JOURNAL OF SCIENCE, 2016, 43 (02): : 409 - 419
  • [40] Friction stir process parameters optimization in the fabrication of agate particle reinforced AA6061-T6 aluminum alloy surface composite
    Mengstie, Endale Getu
    Rengiah, Robinson Gnanadurai
    Mekonen, Belete Ambachew
    DISCOVER APPLIED SCIENCES, 2024, 6 (10)