A modified approach on modeling-design-optimization procedure for cutting of pure titanium using wire electric discharge machining (WEDM)

被引:1
|
作者
Baytok, Y. M. [1 ]
Aydin, L. [1 ]
Deveci, H. A. [2 ]
Gulturk, E. A. [3 ]
机构
[1] Izmir Katip Celebi Univ, Dept Mech Engn, Cigli Ana Yerleskesi, TR-35620 Izmir, Turkiye
[2] Erzincan Binali Yildirim Univ, Dept Mech Engn, Yalnizbag Yerleskesi, Erzincan, Turkiye
[3] Kocaeli Univ, Dept Mech Engn, Umuttepe Yerleskesi, Kocaeli, Turkiye
关键词
Stochastic optimization; multiple nonlinear regression analysis; wire EDM; stability; PARAMETRIC OPTIMIZATION; MULTIOBJECTIVE OPTIMIZATION; ALLOY; EDM; CAPABILITY; COMPOSITE;
D O I
10.1177/09544089231166654
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The main goal of this study is to introduce a modified approach to the modeling-design-optimization triple procedure for cutting pure titanium. The manufacturing process is selected as wire electric discharge machining. To achieve a smooth cutting operation of the pure titanium plate (grade 2), the independent cutting parameters, peak current, pulse off time, pulse on time, spark gap voltage, wire feed, and wire tension are taken into consideration. Their effects on machining rate, surface roughness, dimensional deviation, and wire wear ratio are also examined. The mathematical model of the process is determined with the multiple nonlinear neuroregression approach. Stability study that measures the ability to realize the cutting parameters was conducted during the modeling phase. This type of step has not been used as a criterion for model determination before in modeling studies. Comparisons were accomplished with the traditional and nontraditional models, and it is shown that the nontraditional models' accuracy was more reasonable. Besides, this study contains the design optimization of the manufacturing process parameters using modified version of different stochastic and derivative-free optimization methods: differential evaluation, random search, simulated annealing, and Nelder-Mead algorithm, (MDE, MRS, MSA and MNM) simultaneously.
引用
收藏
页码:2305 / 2319
页数:15
相关论文
共 50 条
  • [41] Parametric optimization of MRR and surface roughness in wire electro discharge machining (WEDM) of D2 steel using Taguchi-based utility approach
    Manjaiah M.
    Laubscher R.F.
    Kumar A.
    Basavarajappa S.
    International Journal of Mechanical and Materials Engineering, 2016, 11 (1)
  • [42] Multi-response Optimization of WEDM Parameters Using an Integrated Approach of RSM–GRA Analysis for Pure Titanium
    Chaudhari R.
    Vora J.
    Parikh D.M.
    Wankhede V.
    Khanna S.
    Vora, Jay (vorajaykumar@gmail.com), 1600, Springer (101): : 117 - 126
  • [43] Modeling and Optimization of Fractal Dimension in Wire Electrical Discharge Machining of EN 31 Steel Using the ANN-GA Approach
    Mukhopadhyay, Arkadeb
    Barman, Tapan Kumar
    Sahoo, Prasanta
    Paulo Davim, J.
    MATERIALS, 2019, 12 (03)
  • [44] Using Multi-Objective Optimization to Design Parameters in Electro-Discharge Machining by Wire
    Ochoa, Alberto
    Margain, Lourdes
    Arreola, Julio
    Gutierrez, Guadalupe
    Garcia, Geovani
    Maldonado, Fernando
    DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, 11TH INTERNATIONAL CONFERENCE, 2014, 290 : 493 - 502
  • [45] Using multi-objective optimization to design parameters in electro-discharge machining by wire
    Ochoa, Alberto
    Margain, Lourdes
    Ornelas, Francisco
    Jimenez, Sandra
    Padilla, Teresa
    ADCAIJ-ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL, 2014, 3 (02): : 1 - 9
  • [46] COMPARATIVE MODELING OF WIRE ELECTRICAL DISCHARGE MACHINING (WEDM) PROCESS USING BACK PROPAGATION (BPN) AND GENERAL REGRESSION NEURAL NETWORKS (GRNN)
    Guven, Onur
    Esme, Ugur
    Kaya, Iren Ersoz
    Kazancoglu, Yigit
    Kulekci, M. Kemal
    Boga, Cem
    MATERIALI IN TEHNOLOGIJE, 2010, 44 (03): : 147 - 152
  • [47] Modelling and optimization for material removal rate while processing bio-compatible Ti-6Al-7Nb using wire electric discharge machining (WEDM)
    Sharma, Vikas
    ENGINEERING RESEARCH EXPRESS, 2024, 6 (04):
  • [48] Optimization Of Wire Electric Discharge Machining Parameters For Surface Roughness On 316 L Stainless Steel Using Full Factorial Experimental Design
    Raju, P.
    Sarcar, M. M. M.
    Satyanarayana, B.
    INTERNATIONAL CONFERENCE ON ADVANCES IN MANUFACTURING AND MATERIALS ENGINEERING (ICAMME 2014), 2014, 5 : 1670 - 1676
  • [49] Integrated optimization model in wire electric discharge machining using Gaussian process regression and wolf pack algorithm approach while machining SiCp/Al composite
    Ma, Jun
    Ming, Wuyi
    Du, Jinguang
    Huang, Hao
    He, Wenbin
    Cao, Yang
    Li, Xiaoke
    ADVANCES IN MECHANICAL ENGINEERING, 2018, 10 (09):
  • [50] Characteristics optimization of powder mixed electric discharge machining using titanium powder for die steel materials
    Tien-Long Banh
    Huu-Phan Nguyen
    Cuong Ngo
    Duc-Toan Nguyen
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING, 2018, 232 (03) : 281 - 298