Optimization of turning parameters for surface roughness and tool life based on the Taguchi method

被引:0
|
作者
Ahmet Hasçalık
Ulaş Çaydaş
机构
[1] University of Firat,Department of Manufacturing
[2] Technical Education Faculty,undefined
关键词
Surface roughness; Tool life; Taguchi method; Analysis of variance; Ti-6Al-4V;
D O I
暂无
中图分类号
学科分类号
摘要
In this study, the effect and optimization of machining parameters on surface roughness and tool life in a turning operation was investigated by using the Taguchi method. The experimental studies were conducted under varying cutting speeds, feed rates, and depths of cut. An orthogonal array, the signal-to-noise (S/N) ratio, and the analysis of variance (ANOVA) were employed to the study the performance characteristics in the turning of commercial Ti-6Al-4V alloy using CNMG 120408-883 insert cutting tools. The conclusions revealed that the feed rate and cutting speed were the most influential factors on the surface roughness and tool life, respectively. The surface roughness was chiefly related to the cutting speed, whereas the axial depth of cut had the greatest effect on tool life.
引用
收藏
页码:896 / 903
页数:7
相关论文
共 50 条
  • [31] Surface Roughness Optimization of EN24 Steel in CNC Turning using Taguchi Method
    Vignesh S.H.
    International Journal of Vehicle Structures and Systems, 2023, 15 (05) : 631 - 635
  • [32] Optimization Cutting Parameter on The Quality Surface Roughness of Turning Operation Using Taguchi Method.
    Radhwan, H.
    Shayfull, Z.
    Nasir, S. M.
    Kamarudin, K.
    Abdellah, Abdellah El-Hadj
    5TH INTERNATIONAL CONFERENCE ON GREEN DESIGN AND MANUFACTURE 2019 (ICONGDM 2019), 2019, 2129
  • [33] Multi response optimization of surface roughness in hard turning with coated carbide tool based on cutting parameters and tool vibration
    Keblouti, Ouahid
    Boulanouar, Lakhdar
    Azizi, Mohamed Walid
    Bouziane, Abderrahim
    STRUCTURAL ENGINEERING AND MECHANICS, 2019, 70 (04) : 395 - 405
  • [34] Taguchi S/N based optimization of machining parameters for surface roughness, tool wear and material removal rate in hard turning under MQL cutting condition
    Mia, Mozammel
    Dey, Prithbey R.
    Hossain, Mohammad S.
    Arafat, Md T.
    Asaduzzaman, Md
    Ullah, Md. Shoriat
    Zobaer, S. M. Tareq
    MEASUREMENT, 2018, 122 : 380 - 391
  • [35] EVALUATION OF TOOL LIFE - TOOL WEAR IN MILLING OF INCONEL 718 SUPERALLOY AND THE INVESTIGATION OF EFFECTS OF CUTTING PARAMETERS ON SURFACE ROUGHNESS WITH TAGUCHI METHOD
    Motorcu, Ali Riza
    Kus, Abdil
    Arslan, Ridvan
    Tekin, Yucel
    Ezentas, Ridvan
    TEHNICKI VJESNIK-TECHNICAL GAZETTE, 2013, 20 (05): : 765 - 774
  • [36] On the prediction of surface roughness in the hard turning based on cutting parameters and tool vibrations
    Hessainia, Zahia
    Belbah, Ahmed
    Yallese, Mohamed Athmane
    Mabrouki, Tarek
    Rigal, Jean-Francois
    MEASUREMENT, 2013, 46 (05) : 1671 - 1681
  • [37] Surface roughness prediction based on cutting parameters and tool vibrations in turning operations
    Abouelatta, OB
    Mádl, J
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2001, 118 (1-3) : 269 - 277
  • [38] Optimization of WEDM Cutting Parameters on Surface Roughness of 2379 Steel Using Taguchi Method
    Jaafar, Noor Azam
    Abdullah, Ahmad Baharuddin
    Samad, Zahurin
    SAE INTERNATIONAL JOURNAL OF MATERIALS AND MANUFACTURING, 2018, 11 (02) : 97 - 103
  • [39] Application of Taguchi method to optimization of surface roughness during precise turning of NiTi shape memory alloy
    Kowalczyk, M.
    PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH ENERGY PHYSICS EXPERIMENTS 2017, 2017, 10445
  • [40] Optimization of cutting forces and surface roughness in dry turning of AM magnesium alloy using Taguchi method
    Kolluru, Uday Kiran
    Narala, Suresh Kumar Reddy
    Dutta, Sunil
    MATERIALS TODAY-PROCEEDINGS, 2021, 38 : 2830 - 2838