Parametric optimization and modelling of rough cut WEDM operation of pure titanium using grey-fuzzy logic and dimensional analysis

Chalisgaonkar, Rupesh; Kumar, Jatinder

doi:10.1080/23311916.2014.979973

Cited by 19 publications

(11 citation statements)

References 21 publications

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“…As per the above discussion, for estimating the relationship among the process parameter and the responses of the wire EDM process certain experiments have to perform. Therefore, the ranges of process parameters have been decided on the basis of literature, 2,3,15,26 past experience and machine specifications. Electronica Eccocut CNC WEDM has been considered for machining as shown in Figure 1.…”

Section: Methodsmentioning

confidence: 99%

“…The most commonly studied responses for this process are material removal rate (MRR), Surface finish, Kerf width, wire consumption, roundness error. 2,3 The performance characteristics of WEDM process depends upon many process parameters such as flow rate of the dielectric, pulse on time (T on ), pulse off time (T off ), wire feed rate(WF), servo voltage (SV), peak current (I P ), wire material etc. Many researcher has been used larger T off for better surface finish.…”

Section: Introductionmentioning

confidence: 99%

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A novel approach of GEF and GA for the optimization of multi-objective wire EDM process during the machining of DC53 super alloy

Kumar

Gupta

Chandna

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part E:

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In components manufacturing, the Wire EDM is more popular due to its outstanding features of high dimensional accuracy, lower cost of production and good surface finish as there is no physical contact between the wire and work piece. However, for the steel with higher hardness, it is difficult to obtain these features up to the required extent. Moreover, with the help of optimum process parameters selection the WEDM performance characteristics should be improved. The most commonly studied responses for this process are material removal rate (MRR), Surface finish, Kerf width, wire consumption, roundness error. Among these, the responses like Kerf width, MRR and surface roughness are the primary responses. It is observed that pulse on time, pulse off time, servo voltage, peak current and wire feed are the influencing input parameters to these primary responses. Therefore, in the present work, the optimal level of input parameters is estimated for these responses using the Grey-Entropy-Fuzzy (GEF) and Genetic Algorithm (GA) during wire EDM of steel grade DC53 with high hardness of HRC58normally used in stamping dies, injection moulding and compression Moulding etc. To convert the multi objective problem into a single objective, the grey relational coefficient (GRC) has been calculated using Grey Relational Analysis and the weight-age of each response is approximated during the entropy method. To estimate the relation among the input parameters and single objective (GRC) fuzzy mathematical modelling technique termed as GEF has been applied. The optimal performance has been calculated using GA and GEF model is considered as fitness function. Five conformational tests on optimum parameter combination suggested by GA has been performed. The predicted values and experimental values have been found to be in good agreement with a standard error of 3.31% hence the prediction performance of the GREG-Fuzzy is quite satisfactory.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel approach of GEF and GA for the optimization of multi-objective wire EDM process during the machining of DC53 super alloy

Kumar

Gupta

Chandna

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part E:

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“…They provided the microstructure analysis and found out that the pulse off time, pulse on time and peak current proved to be the most dominating parameters for recast layer thickness and surface crack density. Chalisgaonkar and Kumar 9 in the study investigated the way the input parameters such as peak current, wire tension, wire feed, pulse on time, pulse off time and servo voltage affected the machining characteristics – the surface roughness, the material removal rate and the wire weight consumption during WEDM. The commercially pure titanium was used as work material.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the oxide occurrence on WEDM surfaces in relation to subsequent surface treatments

Mouralová

Prokeš

Beneš

2019

Proceedings of the Institution of Mechanical Engineers, Part C:

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Surface treatments are typical surface protection against corrosion or serve to create an attractive appearance for the end customer. However, the surface to which they are applied must be completely oxide-free, otherwise, defects occur which can cause subsequent corrosion or deterioration of the visual appearance of the product. The parts manufactured by wire electrical discharge machining, however, have a high tendency to oxidize. For this reason, this study was aimed at demonstrating the effect of machine setup parameters (gap voltage, pulse on and off time, wire feed and discharge current) on oxygen occurrence on the surface of two non-metallic (aluminium alloy 7475-T7351, chromium nickel superalloy Inconel 625) and four metallic materials (tool alloy steel X210Cr12, Hadfield steel, Creusabro 4800 and Hardox 400). Within this study, 18 samples were produced, where the chemical composition of energy-dispersive X-ray was analysed, on the basis of which the effect of these parameters on the surface oxidation was proved.

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“…They found, that when Ton increased MRR and Ra increased while when Toff increased MRR and Ra decreased. Chalisgaonkar and Kumar [5], investigated the wire wear phenomena during finish cutting operation of WEDM for commercially pure titanium. Wire used in this study was zinc coated and uncoated brass wire.…”

Section: Introductionmentioning

confidence: 99%

“…The consequences of the impact of heartbeat on time (Ton) and heartbeat off time (Toff) on Material evacuation rate (MRR) at various estimations of start hole voltage (Sv) and servo bolster (Sf) in two sorts of instruments (metal wire and zinc covered metal wire) as in Figure(5). From this figure, the expansion in Ton prompts increment MRR and the increment in Toff prompts diminish MRR.…”

mentioning

confidence: 99%

Investigate WEDM Process Parameters on Wire Wear Ratio, Material Removal Rate and Surface Roughness of Steel 1012 AISI

Shather

Mohammed

2018

ETJ

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This work is focused on some affecting parameters in Wire electrical discharge machining process for AISI 1012 steel by using brass wire and zinc coated brass wire with 0.25mm diameter. Pulse on time, pulse off time, spark gap voltage and servo feed had been studied as input parameters while wire wear ratio, metal removal rate and surface roughness were the outputs. The experiments showed that increasing pulse on time would increase wire wear ratio, metal removal rate and surface roughness. While, increasing pulse off time, spark gap voltage and servo feed will cause a little increase in wire wear ratio, decrease metal removal rate and improve surface roughness. Artificial Neural Network had been used to predict the process outputs for 16 samples, which gave good results and agreement with experimental results. Analysis of Variance had been used to find the contribution of the process parameters on outputs.

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Parametric optimization and modelling of rough cut WEDM operation of pure titanium using grey-fuzzy logic and dimensional analysis

Cited by 19 publications

References 21 publications

A novel approach of GEF and GA for the optimization of multi-objective wire EDM process during the machining of DC53 super alloy

A novel approach of GEF and GA for the optimization of multi-objective wire EDM process during the machining of DC53 super alloy

Analysis of the oxide occurrence on WEDM surfaces in relation to subsequent surface treatments

Investigate WEDM Process Parameters on Wire Wear Ratio, Material Removal Rate and Surface Roughness of Steel 1012 AISI

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