Experimental and statistical investigations of surface roughness, vibration, and energy consumption values of titanium alloy during machining using response surface method and grey relational analysis

被引：0
|
作者：
Akkuş, H. [1 ]
机构：
[1] Automotive Technology Program, Nigde Vocational School of Technical Sciences, Nigde Omer Halisdemir University, P.O. Box 51200, Nigde, Turkey
来源：
Scientia Iranica | 2022年 / 29卷 / 1 B期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：109 / 119
相关论文
共 50 条
  • [41] Measurement and Multi-response Optimization of Spark Erosion Machining Parameters for Titanium Alloy Using Hybrid Taguchi-Grey Relational Analysis-Principal Component Analysis Approach
    Gopal, R.
    Thirunavukkarasu, K.
    Kavimani, V
    Gopal, P. M.
    JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE, 2021, 30 (04) : 3129 - 3143
  • [42] Minimisation of the damage in the extrusion process of titanium alloy blades using the response surface method and finite element analysis
    Alimirzaloo, Vali
    Khangahi, Ali Abdollahi
    Gadim, Hossein Gheshlagi
    AUSTRALIAN JOURNAL OF MECHANICAL ENGINEERING, 2020, 18 (sup1) : 1 - 14
  • [43] Kerf width analysis of wire electrical discharge machining of titanium alloy (Ti-6Al-4 V ELI) using response surface method
    Abebe, Tigabu
    Palani, Sivaprakasam
    Prakash, J. Udaya
    MATERIALS TODAY-PROCEEDINGS, 2022, 62 : 481 - 487
  • [44] Optimization of process parameters in the high-speed milling of titanium alloy TB17 for surface integrity by the Taguchi-Grey relational analysis method
    Du, Shunyao
    Chen, Minghe
    Xie, Lansheng
    Zhu, Zhishou
    Wang, Xinnan
    ADVANCES IN MECHANICAL ENGINEERING, 2016, 8 (10): : 1 - 12
  • [45] Multi-response Optimization of Machining Parameters of Turning AA6063 T6 Aluminium Alloy using Grey Relational Analysis in Taguchi Method
    Jayaraman, P.
    Kumar, L. Mahesh
    12TH GLOBAL CONGRESS ON MANUFACTURING AND MANAGEMENT (GCMM - 2014), 2014, 97 : 197 - 204
  • [46] Prediction of surface roughness and material removal rate in wire electrical discharge machining on aluminum based alloys/composites using Taguchi coupled Grey Relational Analysis and Artificial Neural Networks
    Thankachan, Titus
    Prakash, K. Soorya
    Malini, R.
    Ramu, S.
    Sundararaj, Prabhu
    Rajandran, Sivakumar
    Rammasamy, Devaraj
    Jothi, Sathiskumar
    APPLIED SURFACE SCIENCE, 2019, 472 : 22 - 35
  • [47] Modelling of micro-electrodischarge machining during machining of titanium alloy Ti-6Al-4V using response surface methodology and artificial neural network algorithm
    Pradhan, B. B.
    Bhattacharyya, B.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2009, 223 (06) : 683 - 693
  • [48] Experimental Investigation and Optimization on the Process Parameters during Induction Pressure Welding for Steel and Aluminum Alloy Using Response Surface Method
    Kai Gao
    Guiqi Liu
    Hongli Gu
    Kun Li
    Liubo Zhu
    Journal of Materials Engineering and Performance, 2022, 31 : 6572 - 6583
  • [49] Experimental Investigation and Optimization on the Process Parameters during Induction Pressure Welding for Steel and Aluminum Alloy Using Response Surface Method
    Gao, Kai
    Liu, Guiqi
    Gu, Hongli
    Li, Kun
    Zhu, Liubo
    JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE, 2022, 31 (08) : 6572 - 6583
  • [50] Comparative investigation and optimization of cutting tools performance during milling machining of titanium alloy (Ti6Al4V) using response surface methodology
    Phokobye, Solomon Ntshiniki
    Desai, Dawood Ahmed
    Tlhabadira, Isaac
    Sadiku, Emmanuel Rotimi
    Mutombo, Kalenda
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2024, 131 (7-8): : 3565 - 3577
12345