scholarly journals Experimental Investigation and Optimization of Electric Discharge Machining Process Parameters Using Grey-Fuzzy-Based Hybrid Techniques

Materials ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 5820
Author(s):  
Ankit Sharma ◽  
Vidyapati Kumar ◽  
Atul Babbar ◽  
Vikas Dhawan ◽  
Ketan Kotecha ◽  
...  
Keyword(s):  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Machining Process ◽  
Spheroidal Graphite ◽  
Electrode Gap ◽  
Peak Current ◽  
Hybrid Techniques ◽  
Input Parameters ◽  
Pulse On Time ◽  
Edm Process

Electrical discharge machining (EDM) has recently been shown to be one of the most successful unconventional machining methods for meeting the requirements of today’s manufacturing sector by producing complicated curved geometries in a broad variety of contemporary engineering materials. The machining efficiency of an EDM process during hexagonal hole formation on pearlitic Spheroidal Graphite (SG) iron 450/12 grade material was examined in this study utilizing peak current (I), pulse-on time (Ton), and inter-electrode gap (IEG) as input parameters. The responses, on the other hand, were the material removal rate (MRR) and overcut. During the experimental trials, the peak current ranged from 32 to 44 A, the pulse-on duration ranged from 30–120 s, and the inter-electrode gap ranged from 0.011 to 0.014 mm. Grey relational analysis (GRA) was interwoven with a fuzzy logic method to optimize the multi-objective technique that was explored in this EDM process. The effect of changing EDM process parameter values on responses was further investigated and statistically analyzed. Additionally, a response graph and response table were produced to determine the best parametric setting based on the calculated grey-fuzzy reasoning grade (GFRG). Furthermore, predictor regression models for response characteristics and GFRG were constructed, and a confirmation test was performed using randomly chosen input parameters to validate the generated models.

Correlation of Input Parameters with Tool Martial on the Output Parameters of Electrical Discharge Machining Process

2012 ◽  
Vol 445 ◽  
pp. 994-999 ◽  
Author(s):  
Mohammad Reza Shabgard ◽  
Mirsadegh Seyedzavvar
Keyword(s):  
Electrical Discharge ◽  
Material Removal ◽  
Pulse Current ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Tool Material ◽  
Machining Process ◽  
Process Stability ◽  
Input Parameters ◽  
Pulse On Time

This paper details the correlation between the input parameters with the tool material on the machining response in comparison of two different combinations of toolworkpiece material, namely copper-H13 and graphite-H13. The considered machining input parameters included pulse current and pulse on-time, and the investigated characteristics of the machining response were the material removal rate, tool wear, and surface roughness of the workpiece. Furthermore, differences in pulse shapes and process stability between the copper-H13 and graphite-H13 combinations were investigated.

scholarly journals Experimental Study and Parameter Optimization of Hybrid Electrical Discharge Machining

2018 ◽  
Vol 7 (3.12) ◽  
pp. 1161
Author(s):  
Nishant Kumar Singh ◽  
Sandeep Agrawal ◽  
Rajvardhan . ◽  
Yashvir Singh
Keyword(s):  
Electrical Discharge ◽  
Oil And Gas ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Machining Process ◽  
Machining Parameters ◽  
Electrode Gap ◽  
Workpiece Material ◽  
Hybrid Machining Process ◽  
Pulse On Time

Hard materials cannot be machined effectively by the individual machining process. In order to machine workpiece made from hard and stiff materials effectively a concept of Hybrid machining process (HMP) is originated. The HMP is an integration of two or more machining process to get the advantage of each individual process. HMP is used to machine  This study focuses on evolving a novel process using both oil and gas as dielectrics to analyse the effect on tool wear rate (TWR) and material removal rate (MRR). The flow of compressed gas through eccentric-hole rotating tool improved the debris removal from inter-electrode gap, hence it improve the flushing competence of the machining process. In this experimental investigation, the workpiece material is Al-20% SiC metal matrix composite (MMC) and the electrode material is copper. The experiments were conducted following the Taguchi method of design experiments. The effect of various machining parameters on MRR and TWR has been studied. The optimization of process parameter has also been done. The results of TWR and MRR are analysed using S/N ratio, ANOVA and main effect plots. The experimental results, revels that discharge current, gap voltage and pulse on time significantly affected MRR, and TWR. The experimental inference reveal that provision of compressed air through eccentric hole rotary tool has a positive effect on machinability of electrical discharge machining (EDM) process.  

Identification of Optimal Process Parameters in Electro-Discharge Machining Using ANN and PSO

2018 ◽  
pp. 72-90 ◽  
Author(s):  
Kaushik Kumar ◽  
J. Paulo Davim
Keyword(s):  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Machining Process ◽  
Repair Work ◽  
Electro Discharge Machining ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Off Time ◽  
Edm Process ◽  
Time Pulse

Electrical Discharge Machining (EDM) process is a widely used machining process in several fabrication, construction and repair work applications. Considering Pulse-On Time, Pulse OFF time, Peak-Current and Gap voltage as the inputs and among all possible outputs, in the present work Material Removal Rate and Surface Roughness are considered as outputs. In order to reduce the number of experiments Design of Experiments (DOE) was undertaken using Orthogonal Array and later on the outputs were optimized using ANN and PSO. It was found that the results obtained from both the techniques were tallying with each other.

Performance of Graphene Nanopowder with Deionised Water in EDM Process

2021 ◽  
Vol 1026 ◽  
pp. 147-154
Author(s):  
Kamlesh Paswan ◽  
Somnath Chattopadhyaya ◽  
Alokesh Pramanik
Keyword(s):  
Dielectric Medium ◽  
Machining Process ◽  
Peak Current ◽  
Input Parameters ◽  
Pulse On Time ◽  
Edm Process

This paper emphasises the effect of the surfactant in the PMEDM process. The preparation of nanofluid is done by mixing and sonicating thoroughly into the deionised water is discussed. The effect of varying the graphene nanopowder concentration into the dielectric is also discussed. Also, the effect of surfactant SDS and CTAB in the machining process is elaborated at 0.1 and 0.2g per 800ml concentration. MRR improved by 21.27% and roughness by 18.91% at 0.2g and 8µs, 2A and 50V in 800ml deionised water. SDS provide better MRR and low roughness compared to CTAB at higher peak current and higher pulse on time Simultaneously, the addition of surfactant into the dielectric medium reduces the performance of the EDM process. The MRR varies from 21mg/min at 0g graphene to 45mg/min at 0.2g and then 31.81mg/min at 0.2g with 0.1g SDS, 43mg/min at 0.2g SDS, 28.33mg/min at 0.1g CTAB and 30mg/min at 0.2g CTAB. Debris size also varies with the input parameters.

Identification of Optimal Process Parameters in Electro-Discharge Machining Using ANN and PSO

2022 ◽  
pp. 824-842
Author(s):  
Kaushik Kumar ◽  
J. Paulo Davim
Keyword(s):  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Machining Process ◽  
Repair Work ◽  
Electro Discharge Machining ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Off Time ◽  
Edm Process ◽  
Time Pulse

Electrical Discharge Machining (EDM) process is a widely used machining process in several fabrication, construction and repair work applications. Considering Pulse-On Time, Pulse OFF time, Peak-Current and Gap voltage as the inputs and among all possible outputs, in the present work Material Removal Rate and Surface Roughness are considered as outputs. In order to reduce the number of experiments Design of Experiments (DOE) was undertaken using Orthogonal Array and later on the outputs were optimized using ANN and PSO. It was found that the results obtained from both the techniques were tallying with each other.

Effect of Powder-Mixed Dielectric on EDM Process Performance

2020 ◽  
Vol 38 (8A) ◽  
pp. 1226-1235
Author(s):  
Safa R. Fadhil ◽  
Shukry. H. Aghdeab
Keyword(s):  
Silicon Carbide ◽  
High Speed ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
High Speed Steel ◽  
Transformer Oil ◽  
Dielectric Fluid ◽  
Peak Current ◽  
Powder Concentration ◽  
Pulse On Time

Electrical Discharge Machining (EDM) is extensively used to manufacture different conductive materials, including difficult to machine materials with intricate profiles. Powder Mixed Electro-Discharge Machining (PMEDM) is a modern innovation in promoting the capabilities of conventional EDM. In this process, suitable materials in fine powder form are mixed in the dielectric fluid. An equal percentage of graphite and silicon carbide powders have been mixed together with the transformer oil and used as the dielectric media in this work. The aim of this study is to investigate the effect of some process parameters such as peak current, pulse-on time, and powder concentration of machining High-speed steel (HSS)/(M2) on the material removal rate (MRR), tool wear rate (TWR) and the surface roughness (Ra). Experiments have been designed and analyzed using Response Surface Methodology (RSM) approach by adopting a face-centered central composite design (FCCD). It is found that added graphite-silicon carbide mixing powder to the dielectric fluid enhanced the MRR and Ra as well as reduced the TWR at various conditions. Maximum MRR was (0.492 g/min) obtained at a peak current of (24 A), pulse on (100 µs), and powder concentration (10 g/l), minimum TWR was (0.00126 g/min) at (10 A, 100 µs, and 10 g/l), and better Ra was (3.51 µm) at (10 A, 50 µs, and 10 g/l).

Multi Response Optimization of Electrical Discharge Machining Process Parameters Using Sintered Copper Electrode

2012 ◽  
Vol 622-623 ◽  
pp. 19-24
Author(s):  
P. Balasubramanian ◽  
Thiyagarajan Senthilvelan
Keyword(s):  
Process Parameters ◽  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Copper Electrode ◽  
Machining Process ◽  
Sintered Copper ◽  
Response Optimization ◽  
Electric Pressure ◽  
Pulse On Time

In this study, input parameters of Electrical Discharge machining (EDM) process have been optimised for two different materials EN-8 and Die steel-D3 were machined by using sintered copper electrode. Analysis of variance (ANOVA) was applied to study the influences of process parameters viz: - peak current, pulse on time, di-electric pressure and diameter of electrode on material removal rate (MRR), tool wear rate (TWR) and surface roughness (SR) for both materials. Response surface methodology (RSM) has been applied to optimise the multi responses in order to get maximum MRR, minimum TWR and minimum SR. Furthermore, mathematical model has been formulated to estimate the corresponding output responses for both work pieces. It has been observed that compared to EN 8 material, the MRR value is low and TWR is high for D3 material. However the SR value is marginally lower than obtained in EN8.R2 value is above 0.90 for both work pieces.

Enhancing the Surface Quality by Iso Pulse Generator in EDM Process

2012 ◽  
Vol 622-623 ◽  
pp. 380-384 ◽  
Author(s):  
T. Muthuramalingam ◽  
B. Mohan
Keyword(s):  
Surface Finish ◽  
Material Removal ◽  
Pulse Generator ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Machining Process ◽  
Discharge Energy ◽  
Crater Volume ◽  
Machining Characteristics ◽  
Edm Process

In automobile and aeronautical industries, complex moulds and dies is produced by Electrical Discharge Machining process. The surface finish is determined by the crater volume in EDM process. The amount of crater volume is influenced by the amount and distribution of discharge energy. The discharge energy is directly proportional to the average discharge current. This amount of current is determined by the duration of discharging effect. This study deals about evaluating the performance of iso current pulse generator on machining characteristics in EDM. Due to its ability of reducing stochastic nature in EDM process, iso pulse generator could produce better surface finish than conventional transistor pulse train generator with higher material removal rate.

Modeling and Optimization of Multi-Performance Characteristics of Powder-Mixed EDM of Tungsten Carbide Alloy Using Intelligent Decision-Making Tools

2017 ◽  
Vol 16 (02) ◽  
pp. 101-128 ◽  
Author(s):  
Jagdeep Singh ◽  
Rajiv Kumar Sharma
Keyword(s):  
Decision Making ◽  
Tungsten Carbide ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Performance Characteristics ◽  
Inference System ◽  
Intelligent Decision Making ◽  
Intelligent Decision ◽  
Input Parameters ◽  
Pulse On Time

The main aim of this work is to propose a hybrid framework, which makes use of intelligent decision-making tools, that are gray, fuzzy, and ANFIS, to optimize the multi-performance characteristics (MPCs) of powder-mixed electrical discharge machining (PM-EDM) of tungsten carbide (WC). To perform the experimentation, four input parameters: (i) pulse-on time, (ii) current, (iii) powder concentration, and (iv) powder grain size are considered to investigate the MPCs such as material removal rate, tool wear rate, surface roughness, and micro-hardness. The proposed framework uses response surface methodology (RSM) with gray, gray-fuzzy, and gray-ANFIS approaches to obtain optimal solution and also to handle the element of uncertainty or fuzziness associated with the uncertain, multi-input, and discrete data. This method helps to generate the values of gray relational grade (GRG), gray-fuzzy reasoning grade (GFRG), and gray adaptive neuro-fuzzy inference system grade (G-ANFISG) for all the 30 experiments. Analysis of variance (ANOVA) is performed on GRG, GFRG, and G-ANFISG to identify the major contributing input parameters which may affect the MPCs. Finally, the theoretical prediction is done to verify the improvement in the performance characteristics obtained through the proposed approaches. Both the experimental and statistical results clearly demonstrate the success of proposed framework for the optimization of PM-EDM of WC alloy.

Influence of Process Parameters on Characteristics of Electrical Discharge Machining of PH17-4 Stainless Steel

2015 ◽  
Vol 14 (03) ◽  
pp. 189-202 ◽  
Author(s):  
V. Vikram Reddy ◽  
P. Madar Valli ◽  
A. Kumar ◽  
Ch. Sridhar Reddy
Keyword(s):  
Material Removal Rate ◽  
Electrical Discharge ◽  
Material Removal ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Surface Hardness ◽  
Machining Process ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Off Time

In the present work, an investigation has been made into the electrical discharge machining process during machining of precipitation hardening stainless steel PH17-4. Taguchi method is used to formulate the experimental layout, to analyze the effect of each process parameter on machining characteristics and to predict the optimal choice for each electrical discharge machining process parameters namely, peak current, pulse on time and pulse off time that give up optimal process performance characteristics such as material removal rate, surface roughness, tool wear rate and surface hardness. To identify the significance of parameters on measured response, the analysis of variance has been done. It is found that parameters peak current and pulse on time have the significant affect on material removal rate, surface roughness, tool wear rate and surface hardness. However, parameter pulse off time has significant affect on material removal rate. Confirmation tests are conducted at their respective optimum parametric settings to verify the predicted optimal values of performance characteristics.

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