Investigation of micro-electro-discharge machining process parameters during machining of M2 hardened die-steel

被引:1
|
作者
Pradhan, B. B. [1 ]
Tiwary, A. P. [2 ,5 ]
Masanta, M. [3 ]
Bhattacharyya, B. [4 ]
机构
[1] Sikkim Inst Sci & Technol, Dept Mech Engn, Chisopani, Sikkim, India
[2] Govt Polytech Gulzarbagh, Dept Mech Engn, Patna, Bihar, India
[3] Natl Inst Technol Rourkela, Dept Mech Engn, Rourkela, Odisha, India
[4] Jadavpur Univ, Dept Prod Engn, Kolkata, West Bengal, India
[5] Govt Polytech Gulzarbagh, Dept Mech Engn, Patna 800007, Bihar, India
关键词
Micro-EDM; M2 hardened die-steel; micro-cavity; micromachining; MARCOS; optimization; MATERIAL REMOVAL RATE; CRYSTALLINE-STRUCTURE; SURFACE; PERFORMANCE; EDM;
D O I
10.1177/09544089241234626
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Micro-electro-discharge machining (micro-EDM) is a well-known micromachining method to create microstructures on hard-to-cut materials. To further exploit the capability of micro-EDM, the present research work investigates the effect of various important micro-EDM process parameters on the material removal rate (MRR), tool wear rate (TWR), and overcut (OC) during micro-cavity machining of M2-hardened die-steel. A Taguchi experimental design was used to study the effects of three process parameters namely pulse-on-time (Ton), peak current (Ip), and gap voltage (Vg). The experimental results showed that the most influencing process parameter in the present experimental investigation is peak current, Ip followed by pulse-on-time, Ton and gap voltage, Vg. Furthermore, a recent and effective method i.e. Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS) has been successfully employed to determine optimal process parametric combination for micro-EDM process to achieve maximum MRR and minimum TWR and OC during machining of micro-cavity on M2-hardened die-steel. From the present research investigation, the optimal micro-EDM process parametric combinations obtained for higher MRR, lower TWR and OC are found as 1 A of peak current, 30 mu s pulse-on time and gap voltage of 60 V. Furthermore, through various scanning electron microscope micrographs of micro-cavities and micro-machined surfaces, analysis has been done to find out the micro-cavity with best geometrical accuracy and surface feature to validate the best and most ideal combinations of micro-EDM input parameters for micromachining operations. The results of this study show that micro-EDM is a promising process for machining M2-hardened die-steel. The optimization of process parameters using the MARCOS methodology can further improve the machining efficiency and accuracy of micro-EDM.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] Field-Emission from Carbon Nanotube Cones Fabricated by Micro-Electro-Discharge Machining
    Moghaddam, M. Vahdani
    Sarwar, M. S.
    Xiao, Z.
    Dahmardeh, M.
    Takahata, K.
    Nojeh, A.
    2013 26TH INTERNATIONAL VACUUM NANOELECTRONICS CONFERENCE (IVNC), 2013,
  • [42] An artificial neural network approach on parametric optimization of laser micro-machining of die-steel
    Dhara, Srijib Kr.
    Kuar, A.S.
    Mitra, S.
    International Journal of Advanced Manufacturing Technology, 2008, 39 (1-2): : 39 - 46
  • [43] An artificial neural network approach on parametric optimization of laser micro-machining of die-steel
    Srijib Kr. Dhara
    A. S. Kuar
    S. Mitra
    The International Journal of Advanced Manufacturing Technology, 2008, 39 : 39 - 46
  • [44] Micro-electro discharge machining drilling of stainless steel with copper electrode: The influence of process parameters and electrode size
    D'Urso, Gianluca
    Maccarini, Giancarlo
    Quarto, Mariangela
    Ravasio, Chiara
    Caldara, Michele
    ADVANCES IN MECHANICAL ENGINEERING, 2016, 8 (12): : 1 - 16
  • [45] Influence of process parameters in electrical discharge machining on H13 die steel
    Bahgat, M. M.
    Shash, A. Y.
    Abd-Rabou, M.
    El-Mahallawi, I. S.
    HELIYON, 2019, 5 (06)
  • [46] An artificial neural network approach on parametric optimization of laser micro-machining of die-steel
    Dhara, Srijib Kr.
    Kuar, A. S.
    Mitra, S.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2008, 39 (1-2): : 39 - 46
  • [47] Study on effect of process parameters on overcut and tool wear rate during micro-electro-discharge slotting process
    Dave, Harshit K.
    Mathai, Vishal J.
    Mayanak, Mukul K.
    Raval, Harit K.
    Desai, Keyur P.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2016, 85 (9-12): : 2049 - 2060
  • [48] Toward development of a new online tool wear compensation strategy in micro-electro-discharge machining drilling
    Nirala, C. K.
    Saha, P.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2017, 231 (04) : 588 - 599
  • [49] INFLUENCE OF PARAMETERS ON PROCESS PERFORMANCE DURING ELECTRO DISCHARGE MACHINING OF INCONEL-718
    Rajesha, S.
    Sharma, A. K.
    Kumar, Pradeep
    TMS 2010 139TH ANNUAL MEETING & EXHIBITION - SUPPLEMENTAL PROCEEDINGS, VOL 3: GENERAL PAPER SELECTIONS, 2010, : 841 - +
  • [50] EVALUATION OF EXPERIMENTAL ELECTRO TECHNOLOGICAL PARAMETERS AT DIE-SINKING ELECTRO DISCHARGE MACHINING
    Pisarciuc, Cristian
    Sarbu, Flavius Aurelian
    MODTECH 2011: NEW FACE OF T.M.C.R., VOL I AND II, 2011, : 869 - 872