Optimization of material removal rate of tempered glass by using electrochemical spark machining

被引:3
|
作者
Tyagi, Mudit [1 ]
Gupta, Prateek [1 ]
Singh, Rakesh Kumar [1 ]
机构
[1] Noida Inst Engn & Technol, Dept Mech Engn, Plot 19,Knowledge Pk 2, Greater Noida 201306, India
关键词
ECSM; MRR; Voltage; Electrolyte Concentration; Taguchi?s design; ECDM PROCESS; TOOL ELECTRODE; PERFORMANCE;
D O I
10.1016/j.matpr.2021.10.103
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Electrochemical Spark Machining (ECSM) is a hybridization process of (EDM) and (ECM) in which material removal is initiated by the impact of electrolysis and electroplating phenomenon based on faraday's law. In this investigation, the development of electrochemical spark machining is conducted which is the conversion from the conventional drilling machine. The L9 orthogonal array was employed in this study to optimize the regulated parameters using a gravity feed method with the tool & electrolyte in a static condition. MRR has undergone the analysis of variance, which resulted that voltage is the most significant parameter that has higher effectiveness on material removal from the substrates, followed by power cycle and concentration. The optimized value was verified by performing the confirmation experiment. The optimal predicted value of MRR in ECSM is 0.23366 mm3/min at the control factors values of voltage 80 V, electrolyte concentration 30 % & power cycle 80 %. Copyright (c) 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the 3rd International Conference on Contemporary Advances in Mechanical Engineering
引用
收藏
页码:2800 / 2807
页数:8
相关论文
共 50 条
  • [41] Experimental modeling and multi-objective optimization of traveling wire electrochemical spark machining (TW-ECSM) process
    Basanta Kumar Bhuyan
    Vinod Yadava
    Journal of Mechanical Science and Technology, 2013, 27 : 2467 - 2476
  • [42] Parametric optimization of traveling wire electrochemical discharge machining (TW-ECDM) process for aspect ratio during machining of borosilicate glass
    Kumar, Manoj
    Vaishya, R. O.
    Suri, N. M.
    Gupta, Anurag
    MATERIALS TODAY-PROCEEDINGS, 2022, 64 : 1206 - 1210
  • [43] Electrochemical machining parameter optimization and prediction of performance using artificial neural network
    Saranya, K.
    Haribabu, K.
    Venkatesh, T.
    Saravanan, K. G.
    Maranan, Ramya
    Rajan, N.
    INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM, 2024, 18 (07): : 5015 - 5025
  • [44] A Study on Kerf and Material Removal Rate in Wire Electrical Discharge Machining of Ti-6Al-4V:Multi-Objectives Optimization
    Saedon, J. B.
    Nor, N. H. Mohamad
    Jaafar, Norkamal
    Husain, Hazran
    Yahaya, Mohd Azman
    2014 2ND INTERNATIONAL CONFERENCE ON TECHNOLOGY, INFORMATICS, MANAGEMENT, ENGINEERING, AND ENVIRONMENT (TIME-E 2014), 2014, : 111 - 116
  • [45] A comparative study on modelling material removal rate by ANFIS and polynomial methods in electrical discharge machining process
    Al-Ghamdi, Khalid
    Taylan, Osman
    COMPUTERS & INDUSTRIAL ENGINEERING, 2015, 79 : 27 - 41
  • [46] Performance Measurement and Data Analysis of Material Removal Rate for Wire Cut Electro Discharge Machining Process
    Rehman, A.
    Bhagoria, J. L.
    MECHANICAL AND AEROSPACE ENGINEERING, PTS 1-7, 2012, 110-116 : 1683 - 1690
  • [47] Environmentally conscious machining of Inconel 718: surface roughness, tool wear, and material removal rate assessment
    Sadaf Zahoor
    Fahad Ameen
    Walid Abdul-Kader
    Jacqueline Stagner
    The International Journal of Advanced Manufacturing Technology, 2020, 106 : 303 - 313
  • [48] Multi Response Optimization of ECDM Process Parameters for Machining of Microchannel in Silica Glass Using Taguchi–GRA Technique
    Sadashiv Bellubbi
    Sathisha N
    Bijan Mallick
    Silicon, 2022, 14 : 4249 - 4263
  • [49] Optimization of material removal rate of Ti-6Al-4V using Rao-1 algorithm
    Agarwal, Neeraj
    Irshad, Md.
    Singh, Mahendra Raj
    Singh, Gurjeet
    MATERIALS TODAY-PROCEEDINGS, 2022, 62 : 6722 - 6726
  • [50] Optimization of material removal rate of Ti-6Al-4V using Rao-1 algorithm
    Agarwal, Neeraj
    Irshad, Md
    Singh, Mahendra Raj
    Singh, Gurjeet
    MATERIALS TODAY-PROCEEDINGS, 2022, 62 (P12) : 6722 - 6726