Multi-objective optimization of wire-EDM of Inconel 625 by using desirability function approach

Kar, Swastik Kumar; Mishra, Pradeep Kumar; Sahu, Anshuman Kumar; Mahapatra, Siba Sankar; Thomas, Joji

doi:10.1007/s12008-022-01184-6

Cited by 12 publications

(3 citation statements)

References 23 publications

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“…This erodes material apart from both the work piece and wire by melting and vaporisation and results as a dominant thermal erosion process [6]. With less pulse off time value, there is greater discharge quantity in a specified period of time, ending up with the increase in sparking efficiency [7]. Discharge current is represented as I A and it is the greater range of the current passing through the electrode during pulse on time.…”

Section: Wire Electrical Discharge Machining (Wedm)mentioning

confidence: 99%

“…Energy-dispersive spectroscopy and scanning electron microscopy analysis reported the manifestation of the recast layer. The complete AMMCs potential is caught up by the trouble of reduced machinability and wide-ranging tool wear from traditional machining methods such as milling, turning, drilling, and to target at anisotropy, non-homogeneity, hardness, toughness, low ductility, and intrinsic brittleness and also due to the existence of hard abrasive reinforcements [7]. Studies reported that low material removal, poor surface finish, excessive tool wear, and high costs of manufacture are usually connected with machining of these recent materials [8].…”

Section: Introductionmentioning

confidence: 99%

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Effect of Al7075 and activated carbon reinforced composite on optimizing WEDM responses

Ramanan,

R R,

Suresh

et al. 2024

Mater. Res. Express

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This paper presents wire cut electrical discharge machining (WEDM) response characteristics of Aluminium 7075 (Al7075) reinforced with powdered activated carbon (PAC) composite. In recent days WEDM has become a significant machining process in targeting its benefits of contributing improved material removal rate (MRR) and low surface roughness (SR). This is due the rising need for intricate, accurate, and superior structural components, the WEDM process emerges as a formidable alternative to traditional machine tools. In this work Pulse-on time (Ton), pulse-off time (Toff), discharge current (IA) and servo speed rate (SS) are the variables to be given as input and machining responses such as MRR and SR are studied. From Analysis of Variance (ANOVA) study it is found that discharge current and servo speed is the significant parameters. The optimal desirability condition is obtained with input parameters Ip: 2000 mA; Ton: 8.9 µs; Toff: 25 µs and SS: 150rpm for the precision machining. The optimum response parameters are found as MRR 10.46 mm3/min and SR 3.32 µm. Results shows that the model designed for the prediction of MRR produces an above 98.27 % and the prediction of SR is above 97.17 %. The error percentage among the experimental and predicted MRR and SR were estimated. Additionally confirmatory test is performed with optimal results achieved from response surface methodology (RSM) and desirability technique. Metallurgical tests like electron backscatter diffraction analysis (EBSD) and microstructure are conducted to confirm the surface properties and atomic force morphology (AFM) analysis is applied to clarify the structural features of machined composites. The results revealed that the variation of hard deflection is caused by depression of eroded materials on the top layers of machined surface.

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Section: Wire Electrical Discharge Machining (Wedm)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effect of Al7075 and activated carbon reinforced composite on optimizing WEDM responses

Ramanan,

R R,

Suresh

et al. 2024

Mater. Res. Express

View full text Add to dashboard Cite

show abstract

“…On the other hand, AISI D3 high-alloy steel has been the subject of several experimental studies that focus on machinability, MQ lubrication, tool wear, modeling, and optimization of cutting conditions [13][14][15][16][17][18][19][20]. Also, the desirability function approach is among the multi-objective optimization methods extensively used in many industrial sectors because of the advantages it presents [21][22][23][24][25][26][27][28]. Several researchers have adopted the GRA method as a multi-objective optimization method for cutting conditions due to its effectiveness in making the right decision for selecting the optimal parameters [29][30][31][32][33][34][35].…”

Section: Introductionmentioning

confidence: 99%

Statistical analysis, modeling and multi-objective optimization of parameters intermittent turning process of AISI D3

Khelfaoui

Yallese

Ouelaa

et al. 2023

JMES

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Intermittent machining is characterized by its complex and irregular context. This intermittency causes machining to occur under difficult conditions that greatly influence the technological performance parameters. The aim of the present work is to evaluate the effects of input parameters, cutting speed, Vc, depth of cut, ap, tool nose radius, r and feed rate, f, on surface roughness, Ra, tangential cutting force, Fz, motor power consumption, Pm, cutting power, Pc and material removal rate (MRR), during intermittent turning (IT) of AISI D3 tool steel. Machining was performed with a triple CVD coated carbide tool (AI2O3/TiC/TiCN) by adopting a Taguchi L9 (3^4) experimental design. The ANOVA and RSM methods were used to analyze the effects of cutting factors on the outputs parameters resulting in statistical prediction models. In addition, a multi-objective optimization of the cutting conditions exploiting the desirability function (DF) was done according to four cases of relative importance corresponding to different industrial contexts. Furthermore, the grey relational analysis (GRA) method was applied and compared with the DF method. The results show that the optimal regime found by the DF method, (r =1.6mm, Vc= 240 m/min, f = 0.084 mm/rev and ap = 0.64 mm), favors Ra and MRR. On the other hand, for the GRA method, the combination of (r = 0.4 mm, Vc = 240 m/min f = 0.08 mm/rev and ap = 0.3 mm) favors the minimization of Fz, Pm and Pc. This work presents an originality because the results found are very useful in the field of optimization for a better control of the process IT.

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The effects of minimum quantity lubrication parameters on the lubrication efficiency in the turning of plastic mold steel

Hamdi,

Yapan,

Uysal

et al. 2024

Int J Adv Manuf Technol

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Multi-objective optimization of wire-EDM of Inconel 625 by using desirability function approach

Cited by 12 publications

References 23 publications

Effect of Al7075 and activated carbon reinforced composite on optimizing WEDM responses

Effect of Al7075 and activated carbon reinforced composite on optimizing WEDM responses

Statistical analysis, modeling and multi-objective optimization of parameters intermittent turning process of AISI D3

The effects of minimum quantity lubrication parameters on the lubrication efficiency in the turning of plastic mold steel

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