Parametric Optimization of Wire Cut Electrical Discharge Machining on Al-9% PAC Composites using Desirability Approach

Author(s):  
G. Ramanan ◽  
R. Elangovan

In aerospace and automobile industries manufacturing complex structures using un-conventional machining is increased due to their precision and accuracy. This research investigates the influence of input parameters such as discharge current, pulse on time, pulse off time and servo speed rate of wire cut electrical discharge machining (WEDM) on material removal rate and surface roughness using Box Behnken design supported with response surface methodology. Aluminium alloy 7075 reinforced with 9 % wt. of activated carbon composite is used to carry out the machining process. Most influencing parameters are subjected as the conductive and non-conductive parameters in WEDM process. To find out the significant influence of each factor, analysis of variance was performed. The mathematical model is established using desirability technique and then the optimal machining parameters are determined. The best achieved WEDM performances - material removal rate and surface roughness are 10.46 mm3/min and 3.32μm respectively, by using optimum machining conditions - discharge current 2000mA, pulse on time 8.9µs, pulse off time 25µs and servo speed rate 150rpm at 0.8597 desirability value.

2015 ◽  
Vol 14 (03) ◽  
pp. 189-202 ◽  
Author(s):  
V. Vikram Reddy ◽  
P. Madar Valli ◽  
A. Kumar ◽  
Ch. Sridhar Reddy

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.


2021 ◽  
Vol 23 (12) ◽  
pp. 224-235
Author(s):  
N. Ethiraj ◽  
◽  
T. Sivabalan ◽  
Saibal Chatterjee ◽  
Seeramsetti Mahesh ◽  
...  

One of the non-conventional techniques of metal removal manufacturing processes is electrical discharge machining (EDM). The objective of this paper is to prepare a composite material consisting of a matrix of Aluminium AA 6061 alloy and Boron carbide (B4C) as reinforcement and investigate the output responses, the material removal rate, the quality of the surface formed and overcut during EDM process. The process parameters discharge current, Pulse on time and Duty cycle along with the weight % of B4C are considered for investigation to investigate the output responses such as material removal rate, surface roughness and overcut. From the experimental results, it is observed that the weight % of reinforcement has more influence on the material removal rate. The parameters discharge current and pulse-on-time plays an important role in reducing the surface roughness and overcut. Microstructural study helps in understanding the effect of process parameters on the output responses.


2021 ◽  
Vol 1028 ◽  
pp. 391-396
Author(s):  
Muhammad Firly Firmansyah ◽  
Suwarno Suwarno ◽  
Yanuar Rohmat Aji Pradana ◽  
Suprayitno Suprayitno

Electrical discharge machining (EDM) is a non-conventional process that is widely used for high-precision machining, complex product shapes, and high hardness materials. The EDM mechanism is based on the thermoelectric energy between the electrode and the workpiece. The EDM process has many parameters that can be adjusted, such as discharge current, voltage, pulse on time, pulse off time, electrode polarity, workpiece material, electrode material, dielectric fluid type, flushing pressure, flushing direction and flushing method. This study aims to find the parameters of the EDM process to optimize its productivity indicated by material removal rate (MRR) and its quality indicated by surface roughness of SS-316 material. The varied parameters were discharge current, pulse on time, and pulse off time with 3 levels for each parameter. Fractional orthogonal array L9 were applied for three 3-level variables. Performance fluctuation due to noise factors were simply approximated by 3 replicating measurements to estimate mean and standard deviation. Taguchi S/N ratio were adopted as robustness index for the optimum parameter design. The optimization results show that the discharge current 30A, pulse on time 100μs, and pulse off time 8μs are the optimum for MRR. As for surface roughness, the discharge current is 10A, pulse on time is 100μs, and pulse off time is 8μs. The only different of EDM parameter for optimum MRR and optimum Ra is discharge current.


2020 ◽  
Vol 62 (5) ◽  
pp. 481-491
Author(s):  
Engin Nas

Abstract This study investigated the electrical discharge machining (EDM) performance of Ramor 500 Armor steel, a material used in the defense industry for armor production. In addition, the surface quality and amount of material wear of the treated surfaces were determined using different electrical discharge processing parameters for a copper electrode including pulse on-time (99, 150, 225, 300, 351 μs), pulse off-time (10, 15, 23, 30, 35 μs), and discharge current (3, 4, 6, 8, 9 A), at a constant pressure of 1 mm depth of cut. As a result of the experiments, the values related to the material removal rate (MRR) and the surface roughness (Ra) were obtained and the findings analyzed via response surface methodology (RSM). The increase in amperage and pulse on time resulted in an increase in Ra and MRR values. The minimum and maximum Ra and MRR values emerged at currents of 3 and 9 A, respectively. In the experiments performed applying currents of between 3 and 9 A, the white layer widths were measured as 0.0474 mm and 0.0915 mm, respectively. The statistical test results showed that the most effective processing parameters for the MRR were the discharge current amperage (49.01 %) and the pulse off-time (16.51 %), whereas the most effective parameter for the Ra value was the discharge current amperage (79.07 %).


2015 ◽  
Vol 787 ◽  
pp. 366-370 ◽  
Author(s):  
Vaibhav Gaikwad ◽  
Vijaykumar S. Jatti ◽  
T.P. Singh

NiTi alloys possess superior material properties such as high specific strength, high corrosion resistance, high wear resistance and high anti-fatigue property. Due to these properties it is difficult to machine these alloys using conventional machining process. Nowadays non-conventional machining processes are widely used for machining such adavanced materials. Electrical Discharge machining (EDM) is one such non-conventional process, which can machine electrically conductive materials of any hardness values. Present study aims at drilling mesoscale 3 mm square holes on NiTi alloy by varying the electrical parameters namely, gap current, pulse on time and pulse off time. Additional, the present work includes finding out the effect of cryogenic treatment of NiTi work material on electrical discharge machining performance measures namely material removal rate (MRR) and tool wear rate (TWR). Based on experiments conducted, it can be concluded that with increase in current both material removal rate and tool wear rate increases. It is also noted that cryo-treatment of workpiece material improves MRR with respect to gap current. Similarly there is an increase in MRR with respect to pulse on time and pulse off time for cryo-treated workpiece material. There is a slight improvement of TWR with respect to gap current, pulse on time and pulse off time for cryo-treated workpiece material.


Author(s):  
Gajanan Kamble ◽  
Dr. N. Lakshamanaswamy ◽  
Gangadhara H S ◽  
Sharon Markus ◽  
N. Rajath

Wire cut electrical discharge machining (WEDM) is a hybrid manufacturing technology which enables machining of all engineering materials. This research article deals with investigation on Optimization of the Process Parameters of the wire cut EDM of Bronze material of dimension (80*80*40) in mm. Material removal rate, Surface roughness and Kerf width were studied against the process parameters such as Pulse on time(TON), Pulse off time (TOFF) and Current(IP). The machining parameters for wire EDM were optimized for achieving the combined objectives. As there are three input parameters 27 experiments is carried out and full factorial is used. Optimized parameters were found using (ANOVA) and the error percentage can be validated and parameter contribution for the Material removal rate (MRR) and Surface roughness were found.


Author(s):  
P Srinivasa Rao and Prof. Eshwara Prasad Koorapati

This work focuses on the use of the Taguchi method in order to find out the optimized parameters of the process like discharge current, pulse on time and pulse off time on the machining features such as material removal rate(MRR), surface roughness(SR) & tool wear rate(TWR) on Stavax Steel by means of Electrical Discharge Machining(EDM). It is also intended to study the individual influence of parameters on the performance characteristics. The dielectric fluid circulating system is modified to conduct the experiments. The analysis of variance (ANOVA) is made to recognise the importance of parameters on the response. By using non-linear regression analysis the empirical models are developed in order to predict these performance characteristics and the confirmation test was conducted at the optimal parameters settings to check the optimum expected values of performance features. Detailed analysis by using ANOVA is done and came out with the findings as a pulse on time is the most significant process parameter, next is the discharge current and the insignificant parameter is the pulse off time. Machining surface morphology was studied and observed that crater size is large and deeper due to a large amount of metal is melted and vaporized at the optimum condition of MRR.


2012 ◽  
Vol 626 ◽  
pp. 270-274 ◽  
Author(s):  
Milan Kumar Das ◽  
Kaushik Kumar ◽  
Tapan K. Barman ◽  
Prasanta Sahoo

This paper presents an investigation on the effect and optimization of machining parameters on material removal rate (MRR) in electrical discharge machining (EDM) of EN31 tool steel. For the experiment, four process parameters viz. pulse on time, pulse off time, discharge current and voltage are considered. The settings of machining parameters are determined by using Taguchis orthogonal array (OA). L27 orthogonal array (OA) is considered for the study. The level of importance of the machining parameters on MRR is determined by analysis of variance (ANOVA) test. The optimum machining parameter combination is obtained by the analysis of signal-to-noise (S/N) ratio. The analysis shows that discharge current has the most significant effect on MRR followed by pulse off time and voltage. It is seen that with an increase in discharge current and pulse off time, MRR increases in the studied range. The methodology described here is expected to be highly beneficial to manufacturing industries.


2018 ◽  
Vol 1 (2) ◽  
Author(s):  
SHUBHRATA NAGPAL

In the present work, an attempt has been made for material removal rate and surface roughness by response surface optimization techniques in Electrical discharge machining. Electrical discharge machining, commonly known as EDM, is a process that is used to remove metal through the action of an electrical discharge of short duration and high current density between the work piece and too. This work presents the results of a mathematical investigation carried out to the effects of machining parameters such as current, pulse on time, pulse off time and lift time on material removal rate and surface roughness in electrical discharge machining of 17-4 PH steel by using copper electrode. Response surface methodology and ANOVA techniques are used for data analysis to solve the multi-response optimization. To validate the optimum levels of the parameter, confirmation run was performed by setting the parameters at optimum levels. Material Removal Rate during the process has been taken as productivity estimate with the objective to maximize it. With an intention of minimizing surface roughness is been considered as most important output parameter. It is found that the good agreement of that current is most significant parameter for material removal rate and less for surface roughness followed by pulse on time and lift time.


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