Multicriteria Optimization of Machining Parameters in WEDM of Titanium Alloy 6242

被引：3
|
作者：
Prasanna, R. [1 ]
Gopal, P. M. [1 ]
Uthayakumar, M. [2 ]
Aravind, S. [1 ]
机构：
[1] Karpagam Acad Higher Educ, Dept Mech Engn, Coimbatore 641021, Tamil Nadu, India
[2] Kalasalingam Univ, Dept Mech Engn, Krishnan Kovil 626126, Tamil Nadu, India
来源：
ADVANCES IN MANUFACTURING TECHNOLOGY | 2019年
关键词：
ANOVA; DOE; GRA; Wire cut EDM; Material removal rate; Surface roughness; Ti-6242;
D O I：
10.1007/978-981-13-6374-0_9
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This article dealswith the optimization of process parameters in WCEDM of titanium alloy (Ti-6Al-2Sn-4Zr-2Mo). Material removal rate and surface roughness were studied against the wire cut EDM process parameters, namely pulse ON time, pulse OFF time, voltage and wire feed rate. The pulse ON time selected for the experiment was 4, 5, 6 mu s, and pulse OFF time is 6, 8, 10 mu s. The voltage values selected in the experiment are 50, 65 and 85 V, while wire feed rate used was 2, 4 and 6 m/min. The effect of pulse ON, pulse OFF, voltage and wire feed rate over material removal rate and surface roughness of the machined surface is backed up with scanning electron microscopy (SEM). The contribution of parameters on responses was determined by analysis of variance, and regression models were obtained for material removal rate and surface roughness.
引用
收藏
页码：65 / 75
页数：11
相关论文
共 50 条
  • [21] Optimization the machining parameters by using VIKOR Method during EDM process of Titanium alloy
    Gangil, Manish
    Pradhan, M. K.
    MATERIALS TODAY-PROCEEDINGS, 2018, 5 (02) : 7486 - 7495
  • [22] Prediction and optimization of WEDM parameters for machining of NiTi-shape memory alloy using ANFIS-PSO approach
    Kumar, Lokesh
    Goyal, Ashish
    Pathak, Vimal Kumar
    DISCOVER APPLIED SCIENCES, 2025, 7 (04)
  • [23] Optimization of Machining Parameters of Inconel 718 by WEDM Using Response Surface Methodology
    Senkathir, S.
    Aravind, R.
    Samson, R. Manoj
    Raj, A. C. Arun
    ADVANCES IN MANUFACTURING PROCESSES, ICEMMM 2018, 2019, : 383 - 392
  • [24] Machining of Bio-Implant Materials Using WEDM and Optimization of Process Parameters
    Hema, P.
    Rao, J. Mallikarjuna
    Reddy, C. Eswara
    ADVANCES IN UNCONVENTIONAL MACHINING AND COMPOSITES, AIMTDR 2018, 2020, : 397 - 411
  • [25] OPTIMIZATION OF WEDM PARAMETERS ON MACHINING OF AI7075 BASED HYBRID MMCs
    Satishkumar, D.
    Kanthababu, M.
    Saravanan, R.
    Moorthy, T.
    Saravanan, P.
    Srinivasan, G.
    ADVANCED COMPOSITES LETTERS, 2012, 21 (04) : 100 - 106
  • [26] Modeling of WEDM parameters and surface integrity characteristics in the machining of Nimonic75 alloy
    Singh, Harvinder
    Kumar, Vinod
    Kapoor, Jatinder
    MATERIALS TODAY-PROCEEDINGS, 2020, 28 : 1363 - 1371
  • [27] Optimization of WEDM Process Parameters of γ-TiAl Alloy Using SVM Method
    Donmez, Sinan
    Kentli, Aykut
    TECHNICS TECHNOLOGIES EDUCATION MANAGEMENT-TTEM, 2011, 6 (04): : 1225 - 1234
  • [28] Revealing the WEDM Process Parameters for the Machining of Pure and Heat-Treated Titanium (Ti-6Al-4V) Alloy
    Gupta, Nitin Kumar
    Somani, Nalin
    Prakash, Chander
    Singh, Ranjit
    Walia, Arminder Singh
    Singh, Sunpreet
    Pruncu, Catalin Iulian
    MATERIALS, 2021, 14 (09)
  • [29] Machining characteristics and optimization of 10CrNi3Mo alloy steel by WEDM
    Xiao, Kaimin
    Liu, Zhidong
    Kong, Linglei
    Lei, Weining
    MATERIALS AND MANUFACTURING PROCESSES, 2024, 39 (11) : 1587 - 1597
  • [30] Multi-response optimization of WEDM parameters on machining 16MnCr5 alloy steel using Taguchi technique
    Saini, Tushar
    Goyal, Khushdeep
    Bhandari, Deepak
    MULTISCALE AND MULTIDISCIPLINARY MODELING EXPERIMENTS AND DESIGN, 2019, 2 (01) : 35 - 47
12345