Optimization and Prediction of Material Removing Rate in Die Sinking Electro Discharge Machining of EN45 Steel Tool

被引:8
|
作者
Raj, Sumit [1 ]
Kumar, Kaushik [1 ]
机构
[1] Birla Inst Technol, Dept Mech Engn, Ranchi 835215, Bihar, India
关键词
EDM; EN45; MRR; Taguchi; Optimization; ANOVA; PROCESS PARAMETERS; EDM PROCESS;
D O I
10.1016/j.matpr.2015.07.296
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The main aim of this paper is to maximization of MRR in die sinking electro-discharge machining of EN45 material using Taguchi method. EN45 is a manganese spring steel with high carbon content. EN45 is used widely in the motor vehicle industry for leaf springs, truncated conical springs, helical springs and spring plates and many general engineering applications. MRR (Material Removal Rate) is the measure of material removal and is determined by evaluating the difference of initial weight of work piece to final weight of work piece and dividing by machining time. MRR is major factor in machining process and generally it decides the machining time. Considering the current short product life cycle, maximum MRR is always desirable. Therefore parameters affecting the MRR should be recognized and optimized for desire results. The experiments conducted based on the L27 Orthogonal array and results were optimized. Experiment were carried out using four input parameters viz. peak current (Ip), pulse on time (Ton), pulse off time (Toff) and voltage (V) with three different levels. The effects of different input parameters and effect of their combination on MRR determined using Taguchi and ANOVA table. It was observed that peak current and pulse off time are more significant factor for MRR. (C) 2015 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the conference committee members of the 4th International conference on Materials Processing and Characterization.
引用
收藏
页码:2346 / 2352
页数:7
相关论文
共 41 条
  • [21] The behavior of graphite and copper electrodes on the finish die-sinking electrical discharge machining (EDM) of AISI P20 tool steel
    Amorim, Fred L.
    Weingaertner, Walter L.
    JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2007, 29 (04) : 366 - 371
  • [22] Optimisation and Experimental Investigation of Material Removal Rate and Tool Wear Rate of Micro Electro Discharge Machining (MEDM) of Hastelloy C276
    Nagrale, M. S.
    Mastud, Sachin
    ADVANCES IN MATERIALS AND PROCESSING TECHNOLOGIES, 2022, 8 (03) : 3582 - 3596
  • [23] Optimization of Wire Electro Discharge Machining Parameters for Improving Surface Finish of Cryo-Treated Tool Steel Using DOE
    Dhobe, M. M.
    Chopde, I. K.
    Gogte, C. L.
    MATERIALS AND MANUFACTURING PROCESSES, 2014, 29 (11-12) : 1381 - 1386
  • [24] Prediction and analysis of material removal rate and Tool wear for electric discharge machining of H16 material using ANN and ANOVA
    Adakane R.
    Washimkar P.V.
    Chaudhari S.S.
    Giri J.
    Sathish T.
    Parthiban A.
    Mahatme C.
    Interactions, 2024, 245 (01)
  • [25] Performance optimization of D2 tool steel machining using novel multi-material cladded electrodes in electric discharge machining
    Mohammad, Shoaib
    Habib, M. Wasiq
    Kanwal, Ammara
    Asim, Muhammad
    Farooq, Muhammad
    Zahid, Imran
    Akbar, Noreen Sher
    Togun, Hussein
    Riaz, Fahid
    RESULTS IN ENGINEERING, 2025, 25
  • [26] Recurrent neural network estimation of material removal rate in electrical discharge machining of AISI D2 tool steel
    Pradhan, M. K.
    Das, R.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2011, 225 (B3) : 414 - 421
  • [27] Material Removal Rate during Powder Metallurgy Cu-Ti Electrodes in Electrical Discharge Machining of EN9 Steel
    Shard, Abhinav
    Deepshikha
    Gupta, Vishal
    Garg, M. P.
    3RD INTERNATIONAL CONFERENCE ON CONDENSED MATTER & APPLIED PHYSICS (ICC-2019), 2020, 2220
  • [28] Study of Uncoated and Coated Carbide Insert on Tool Life, Surface Roughness and Material Removal Rate in Machining of EN27 steel
    Ghubade, Anil
    Gupta, Ajay
    Abrol, Abhishek
    Singh, Satsimran
    JOURNAL FOR MANUFACTURING SCIENCE AND PRODUCTION, 2015, 15 (02) : 205 - 214
  • [29] Electric Discharge Machining with Graphene Reinforced Aluminium Metal Matrix Composite (Gr Al MMC) Tool for EN 31 Die Steel Work Piece
    Subrata Mondal
    Goutam Paul
    Koustov Mondol
    Subhas Chandra Mondal
    Journal of The Institution of Engineers (India): Series C, 2025, 106 (2) : 541 - 551
  • [30] Multi-response optimization of machining process parameters for powder mixed electro-discharge machining of H-11 die steel using grey relational analysis and topsis
    Tripathy, S.
    Tripathy, D. K.
    MACHINING SCIENCE AND TECHNOLOGY, 2017, 21 (03) : 362 - 384