Parametric optimization of wire EDM process for single crystal pure tungsten using Taguchi-Grey relational analysis

被引:0
|
作者
Pritam Choudhary
Yash Bhausaheb Desale
Gautam Ranjan
B Kiran Naik
Vivek Kumar Singh
机构
[1] National Institute of Technology Rourkela,Sustainable Thermal Energy Systems Laboratory (STESL), Department of Mechanical Engineering
[2] ISRO,Thermal Engineering Division, Space Applications Centre
来源
Sādhanā | / 48卷
关键词
Parametric optimization; orthogonal array; tungsten; wire EDM; heat switches;
D O I
暂无
中图分类号
学科分类号
摘要
Magneto-caloric materials such as Beryllium, Gallium, Cadmium and Tungsten are most suitable for regulating the heat flow at a cryogenic temperature below 10 K. Among these, Tungsten is preferable as a switching element in magnetoresistive heat switches because of its high Debye temperature and low critical superconducting temperature. Machining tungsten is difficult because of its inherent properties. Due to this, WIRE Electrical Discharge Machining (WEDM) process is preferable to convert tungsten into the desired shape and size. Thus, current research has focused on the WEDM process. Before machining of material, parametric optimization is needed to reduce the operating cost, material wastage, number of experiments and time. Therefore, the present research has focused on optimizing the process parameters using the Taguchi Grey Analysis (TGA) method for the WEDM process of tungsten. In this method, seven input parameters such as pulse on, pulse off time, arc off time, water pressure, wire feed, wire tension, gap voltage, and three output parameters, such as material removal rate (MRR), Kerf width and surface roughness value, are chosen for parametric optimization. The parametric optimization study of machining single-crystal pure tungsten using WEDM signifies that the response parameters should (MRR is 0.298 mm3/min, Kerf width is 0.346 mm, Surface roughness is 1.834 μm).
引用
收藏
相关论文
共 50 条
  • [1] Parametric optimization of wire EDM process for single crystal pure tungsten using Taguchi-Grey relational analysis
    Choudhary, Pritam
    Desale, Yash Bhausaheb
    Ranjan, Gautam
    Naik, B. Kiran
    Singh, Vivek Kumar
    [J]. SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, 2023, 48 (03):
  • [2] Optimization of Multiple Responses in Dry Turning Process Using Taguchi-Grey Relational Analysis
    Verma, Sumit
    Singh, Hari
    [J]. DYNAMICS OF MACHINES AND MECHANISMS, INDUSTRIAL RESEARCH, 2014, 592-594 : 620 - 624
  • [3] Multiresponse optimization of performance indicators through Taguchi-grey relational analysis in EDM of cemented carbide
    Isik, Ahmet Tolunay
    Cakiroglu, Ramazan
    Gunay, Mustafa
    [J]. CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY, 2023, 41 : 490 - 500
  • [4] Optimization of Electrical Discharge Turning Process using Taguchi-Grey Relational Approach
    Gohil, Vikas
    Puri, Y. M.
    [J]. 19TH CIRP CONFERENCE ON ELECTRO PHYSICAL AND CHEMICAL MACHINING, 2018, 68 : 70 - 75
  • [5] Optimization of EDM process for multiple performance characteristics using Taguchi method and Grey relational analysis
    Jung, Jong Hyuk
    Kwon, Won Tae
    [J]. JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2010, 24 (05) : 1083 - 1090
  • [6] Optimization of EDM process for multiple performance characteristics using Taguchi method and Grey relational analysis
    Jong Hyuk Jung
    Won Tae Kwon
    [J]. Journal of Mechanical Science and Technology, 2010, 24 : 1083 - 1090
  • [7] Optimization of Process Parameters in EDM with Magnetic Field Using Grey Relational Analysis with Taguchi Technique
    Anand, G.
    Satyanarayana, S.
    Hussain, M. Manzoor
    [J]. MATERIALS TODAY-PROCEEDINGS, 2017, 4 (08) : 7723 - 7730
  • [8] Application of Taguchi, ANFIS and grey relational analysis for studying, modeling and optimization of wire EDM process while using gaseous media
    Reza Bagherian Azhiri
    Reza Teimouri
    Mohammadhosein Ghasemi Baboly
    Zayd Leseman
    [J]. The International Journal of Advanced Manufacturing Technology, 2014, 71 : 279 - 295
  • [9] Application of Taguchi, ANFIS and grey relational analysis for studying, modeling and optimization of wire EDM process while using gaseous media
    Azhiri, R. Bagherian
    Teimouri, R.
    Baboly, M. Ghasemi
    Leseman, Z.
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2014, 71 (1-4): : 279 - 295
  • [10] Multi-objective optimization of directed energy deposition process by using Taguchi-Grey relational analysis
    Yu-Yang Chang
    Jun-Ru Qiu
    Sheng-Jye Hwang
    [J]. The International Journal of Advanced Manufacturing Technology, 2022, 120 : 7547 - 7563