Effect of process parameters during electric discharge machining of maraging steel and optimization using Taguchi-DEAR method

被引:1
|
作者
Sameer, M. D. [1 ]
Birru, Anil Kumar [2 ]
Srinu, G. [1 ]
Naresh, Ch [1 ]
机构
[1] Kakatiya Inst Technol & Sci, Dept Mech Engn, Warangal, Andhra Pradesh, India
[2] Natl Inst Technol Manipur, Dept Mech Engn, Imphal, Manipur, India
关键词
Surface roughness; MRR; TWR; Maraging steel; DEAR; Electrical discharge machine; SR; EDM PROCESS PARAMETERS; MICROSTRUCTURE; SIZE;
D O I
10.1108/WJE-07-2021-0434
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Purpose The electric discharge machining (EDM) involves electrons discharged from the electrode and machining progresses due to the removal of the material from the component. This a thermal-based machining process primarily used for hard to machine components with conventional methods. This process is used to make intricate cavities and contours. The fabricated part is the replica of the tool material with high surface finish and good dimensional accuracy. This study aims to evaluate the comprehensive effect of process parameters on electric discharge machining of maraging steel. Design/methodology/approach Multiple criteria Decision making (MCDM) techniques are used to select the best parameters by comparing several responses to achieve the desired goal. There are different MCDM techniques available for optimization of machining parameters. In the current investigation, multi-objective optimization by data envelopment analysis based ranking (DEAR) approach was used for machining Maraging C300 grade steel. Findings The Taguchi L9 runs were planned with process parameters such as current (Amp), Tool diameter (mm) and Dielectric pressure (MPa). The effect of process parameters on the responses, namely, material removal rate (MRR), tool wear rate (TWR) and surface roughness (SR) were evaluated. High MRR is found at 15 A current, 14 mm tool diameter and dielectric pressure of 0.2 MPa. Optimum process parameters experiment showed reduced crack density. Originality/value An effort was made successfully to enhance the responses using the DEAR method and establish the decision making of selecting the optimal parameters by comparing the results obtained by machining maraging steel C300 grade.
引用
收藏
页码:409 / 417
页数:9
相关论文
共 50 条
  • [31] Multi-objective optimization of micro wire electric discharge machining parameters using grey relational analysis with Taguchi method
    Somashekhar, K. P.
    Mathew, J.
    Ramachandran, N.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2011, 225 (C7) : 1742 - 1753
  • [32] OPTIMIZATION OF ELECTRICAL DISCHARGE MACHINING PARAMETERS FOR NITI SHAPE MEMORY ALLOY BY USING THE TAGUCHI METHOD
    Daneshmand, Saeed
    Kahrizi, Ehsan Farahmand
    LotfiNeyestanak, Ali Akbar
    Monfared, Vahid
    JOURNAL OF MARINE SCIENCE AND TECHNOLOGY-TAIWAN, 2014, 22 (04): : 506 - 512
  • [33] Optimization of process parameters for machining of AISI-1045 steel using Taguchi design and ANOVA
    Qasim, Arsalan
    Nisar, Salman
    Shah, Aqueel
    Khalid, Muhammad Saeed
    Sheikh, Mohammed A.
    SIMULATION MODELLING PRACTICE AND THEORY, 2015, 59 : 36 - 51
  • [34] Experimental Investigation and Optimization of EDM Process Parameters in Machining of Stainless Steel s-32760 Using Taguchi Method
    Joshi, Renu
    Singh, Satyendra
    Prakash, Chandra
    TRENDS IN MANUFACTURING PROCESSES, ICFTMM 2018, 2020, : 71 - 82
  • [35] Small deep hole drilling electro discharge machining process optimization using Taguchi method
    Jimenez-Chavarro, Guillermo
    Jose Vieira-Porto, Arthur
    Hideaki-Tsunaki, Roberto
    REVISTA FACULTAD DE INGENIERIA, UNIVERSIDAD PEDAGOGICA Y TECNOLOGICA DE COLOMBIA, 2016, 25 (42): : 111 - 122
  • [36] Development of centreless electric discharge grinding machining process and optimization of process parameters
    Shekhawat M.S.
    Mali H.S.
    Rathore A.P.S.
    Recent Patents on Engineering, 2021, 15 (05):
  • [37] Optimization of the electrical discharge machining process based on the Taguchi method with fuzzy logics
    Lin, JL
    Wang, KS
    Yan, BH
    Tarng, YS
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2000, 102 (1-3) : 48 - 55
  • [38] Optimization of process parameters based on RSM and GRA method for machining of Inconel-600 by electric discharge machining
    Sahoo, Sarat Kumar
    Bara, A.
    Bhaskar, P.
    Sai, K. K.
    Rajiv, L. S.
    Singh, S. L.
    MATERIALS TODAY-PROCEEDINGS, 2021, 44 : 2551 - 2555
  • [39] Optimization of Abrasive Water Jet Machining of SiC Reinforced Aluminum Alloy Based Metal Matrix Composites Using Taguchi-DEAR Technique
    Thangaraj, Muthuramalingam
    Ahmadein, Mahmoud
    Alsaleh, Naser A.
    Elsheikh, Ammar H.
    MATERIALS, 2021, 14 (21)
  • [40] Optimization of machining process parameters in Al 7175 metal matrix composites using Taguchi method
    Chenneswari, P.
    Sateesh, N.
    Subbiah, Ram
    Pavan, C.
    MATERIALS TODAY-PROCEEDINGS, 2021, 46 : 9673 - 9677