Electrical discharge machining parameters optimization using response surface methodology and fuzzy logic modeling

2013 ◽  
Vol 36 (3) ◽  
pp. 637-652 ◽  
Author(s):  
S. Prabhu ◽  
M. Uma ◽  
B. K. Vinayagam
Keyword(s):  
Response Surface Methodology ◽  
Fuzzy Logic ◽  
Response Surface ◽  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Parameters Optimization ◽  
Machining Parameters ◽  
Logic Modeling ◽  
Fuzzy Logic Modeling ◽  
Machining Parameters Optimization

OPTIMIZATION OF ELECTRICAL DISCHARGE MACHINING PARAMETERS OF SISIC THROUGH RESPONSE SURFACE METHODOLOGY

2016 ◽  
Vol 79 (1) ◽  
Author(s):  
Abdul Azeez Abdu Aliyu ◽  
Jafri Mohd Rohani ◽  
Ahmad Majdi Abdul Rani ◽  
Hamidon Musa
Keyword(s):  
Silicon Carbide ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Industrial Applications ◽  
Machining Parameters ◽  
Difficult Time ◽  
Pulse On Time

In recent years, researchers have demonstrated increases interest in studies involving silicon carbide (SiC) materials due to several industrial applications. Extreme hardness and high brittleness properties of SiC make the machining of such material very difficult, time consuming and costly. Electrical discharge machining (EDM) has been regarded as the most viable method for the machining of SiC. The mechanism of EDM process is complex. Researchers have acknowledged a challenge in generating a model that accurately describes the correlation between the input parameters and the responses. This paper reports the study on parametric optimization of siliconized silicon carbide (SiSiC) for the following quality responses; material removal rate (MRR), tool wear ratio (TWR) and surface roughness (Ra). The experiments were planned using Face centered central composite design. The models which related MRR, TWR and Ra with the most significant factors such as discharge current (Ip), pulse-on time (Ton), and servo voltage (Sv) were developed. In order to develop, improve and optimize the models response surface methodology (RSM) was used. Non-linear models were proposed for MRR and Ra while linear model was proposed for TWR. The margin of error between predicted and experimental values of MRR, TWR and Ra are found within 6.7, 5.6 and 2.5% respectively. Thus, the excellent reproducibility of this experimental study is confirmed, and the models developed for MRR, TWR and Ra are justified to be valid by the confirmation tests.

scholarly journals Optimization of the Surface Roughness Parameters of Ti–Al Intermetallic Based Composite Machined by Wire Electrical Discharge Machining

Coatings ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 900 ◽  
Author(s):  
Sonia Ezeddini ◽  
Mohamed Boujelbene ◽  
Emin Bayraktar ◽  
Sahbi Ben Salem
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Taguchi Method ◽  
Response Surface ◽  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Wire Electrical Discharge Machining ◽  
Machining Parameters ◽  
Roughness Parameters ◽  
Surface Roughness Parameters

This work presents a comprehensive research using the Taguchi method and response surface methodology (RSM) to predict surface roughness parameters in wire electrical discharge machining (WEDM) manufacturing for a novel Ti–Al intermetallic based composite that was developed at Supmeca, a composite design laboratory for aeronautical applications in Paris, France. At the first stage, a detailed microstructure analysis was carried out on this composite. After that, the cutting parameters of the WEDM process were determined: Start-up voltage U, Pulse-on-time Ton, speed advance S and flushing pressure p were selected to find out their effects on surface roughness Ra. In the second stage, analyses of variance (ANOVA) were used as the statistical method to define the significance of the machining parameters. After that, an integrated method combining the Taguchi method and the response surface methodology (RSM) was used to develop a predictive model of the finish surface. The microstructure of the surface and subsurface of the cut edge, the micro-cracks, debris and craters and surface roughness of the specimens cut at the altered conditions were evaluated by scanning electron microscopy (SEM) and 3D-Surfscan.

Multi-Response Optimisation of Cutting Parameters of Wire EDM in Titanium Using Response Surface Methodology

2016 ◽  
Vol 854 ◽  
pp. 93-100 ◽  
Author(s):  
B. Sivaraman ◽  
Senthil Padmavathy ◽  
P. Jothiprakash ◽  
T. Keerthivasan
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Electrical Discharge ◽  
Metal Removal ◽  
Electrical Discharge Machining ◽  
Machining Process ◽  
Work Piece ◽  
Wire Electrical Discharge Machining ◽  
Machining Parameters ◽  
Control Parameters

This Aim of this paper is to analyse the effect of machining parameters of wire electrical discharge machining (WEDM) on workpiece material titanium, that were now widely used in many applications because of its technical benefits. Conventional method of machining the material will make the work piece to crack or flaws due to chipping, presence of burrs and cracking. Wire cut Electrical discharge machining techniques have been already tried with some other high strength materials which is complicated to cut. To prove the feasibility of machining the titanium, many experiments were carried out based on RSM. Hence by the head wire electrical discharge machining process is to be used to machining the work piece material (titanium) and the effect of various control parameters on the response parameters were analysed and optimized and the optimal combination of control parameters were found to get higher metal removal rate and surface finish using Response Surface Methodology.

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