scholarly journals A review on optimization of machining performances and recent developments in electro discharge machining

2019 ◽  
Vol 6 ◽  
pp. 2 ◽  
Author(s):  
Binayaka Nahak ◽  
Ankur Gupta
Keyword(s):  
Process Parameters ◽  
Removal Rate ◽  
Relevant Literature ◽  
Machining Process ◽  
Machining Performance ◽  
Electro Discharge Machining ◽  
Optimization Of Process Parameters ◽  
Current Voltage ◽  
Recent Developments ◽  
Edm Process

Electro discharge machining (EDM) is a popular unconventional machining process widely employed in die-making industries. Careful selection of process parameters such as pulse current, voltage, on and off time, etc. is essential for machining of hard and conductive materials using EDM. Previous researchers working in the area of EDM have extensively analyzed the machining performance through experimental study, modeling, and simulation and also by theoretical analysis. This article discusses the significant summary of the work performed by earlier researchers through a detailed literature survey. Relevant literature on EDM and impact of process parameters on performance measures such as surface quality, tool wear rate and material removal rate are reviewed. The challenge and limitation of EDM process are also highlighted in this article. It is observed that optimization of process parameters is essentially required for effective and economical machining. So, this article addresses the various issues related to EDM and also provides brief insight into some of the current generation applications of EDM process explored in various industries.

Optimization of Process Parameters for Electro-Chemical Machining of EN19

2019 ◽  
pp. 127-142 ◽  
Author(s):  
Divya Zindani ◽  
Nadeem Faisal ◽  
Kaushik Kumar
Keyword(s):  
Process Parameters ◽  
Removal Rate ◽  
Input Parameter ◽  
Electrochemical Machining ◽  
Pso Algorithm ◽  
Machining Process ◽  
Matrix Composites ◽  
Machining Performance ◽  
Electrode Gap ◽  
Optimization Of Process Parameters

Electrochemical machining (ECM) is a non-conventional machining process that is used for machining of hard-to-machine materials. The ECM process is widely used for the machining of metal matrix composites. However, it is very essential to select optimum values of input process parameters to maximize the machining performance. However, the optimization of the output process parameters and hence the machining performance is a difficult task. In this chapter an attempt has been made to carry out single and multiple optimization of the material removal rate (MRR) and the surface roughness (SR) for the ECM process of EN19 using the particle swarm optimization (PSO) technique. The input parameter considered for the optimization are electrolyte concentration (%), voltage (V), feed rate (mm/min), and inter-electrode gap (mm). The optimum value of MRR and SR as found using the PSO algorithm are 0.1847 cm3/min and 25.0612, respectively.

scholarly journals Multi-Objective Optimization of Wire Electro Discharge Machining (WEDM) Process Parameters Using Grey-Fuzzy Approach

2018 ◽  
Vol 63 (1) ◽  
pp. 16-25 ◽  
Author(s):  
Partha Protim Das ◽  
Sunny Diyaley ◽  
Shankar Chakraborty ◽  
Ranjan Kumar Ghadai
Keyword(s):  
Process Parameters ◽  
Removal Rate ◽  
Machining Process ◽  
Wire Tension ◽  
Electro Discharge Machining ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Wedm Process ◽  
Fuzzy Logic Technique ◽  
Off Time

Wire electro discharge machining (WEDM) is a versatile non-traditional machining process that is extensively in use to machine the components having intricate profiles and shapes. In WEDM, it is very important to select the optimal process parameters so as to enhance the machine performance. This paper emphasizes the selection of optimal parametric combination of WEDM process while machining on EN31 steel, using grey-fuzzy logic technique. Process parameters such as servo voltage, wire tension, pulse-on-time and pulse-off-time were considered while taking into account several multi-responses such as material removal rate (MRR) and surface roughness (SR). It was found that pulse-on-time of 115 µs, pulse-off-time of 35 µs, servo voltage of 40 V and wire tension of 5 kgf results in a larger value of grey fuzzy reasoning grade (GFRG) which tends to maximize MRR and improve SR. Finally, analysis of variance (ANOVA) is applied to check the influence of each process parameters in the estimation of GFRG.

Study on Ultrasonic Vibration in Gas and Optimization of a Novel Process of EDM

2013 ◽  
Vol 675 ◽  
pp. 365-369 ◽  
Author(s):  
Yan Cherng Lin ◽  
Han Ming Chow ◽  
Hai Ping Tsui ◽  
Yuan Feng Chen
Keyword(s):  
Ultrasonic Vibration ◽  
Process Parameters ◽  
High Efficiency ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Main Process ◽  
Machining Parameters ◽  
Machining Performance ◽  
Dielectric Fluids ◽  
Edm Process

The aim of this study is to investigate the machining characteristics of ultrasonic vibration assisted electrical discharge machining (EDM) process using gas media as the dielectric fluids. The process parameters were designed based on Taguchi method to conduct the experimental works. The main process parameters such as machining polarity, peak current, pulse duration, air pressure, working time, and servo reference voltage were chosen to determine their effects on machining performance in terms of material removal rate and surface roughness for SKD 61 tool steels. The experimental response values were transferred to signal-to-noise (S/N) ratios, and then the significant machining parameters associated with the machining performance were examined by analysis of variance (ANOVA). Therefore, the technique of ultrasonic vibration assisted EDM process in gas media was established with the concerning features related to environmentally friendly, high efficiency, and high machining quality to fit the demands of modern manufacturing applications.

Modeling and Optimization of Micro Electro Discharge Machining Process: A Review

2012 ◽  
Vol 622-623 ◽  
pp. 590-594 ◽  
Author(s):  
P. Sivaprakasam ◽  
P. Hariharen ◽  
S. Kathikheyen ◽  
S. Balusamy
Keyword(s):  
Process Parameters ◽  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Optimization Techniques ◽  
Machining Process ◽  
Work Piece ◽  
Machining Performance ◽  
Micro Electrical Discharge Machining ◽  
Electro Discharge Machining ◽  
Short Period

Micro Electrical discharge machining (µEDM) is an electro thermal process, the cutting force is negligibly small and material removal occurs irrespective of hardness of work piece material .Micro electrical discharge machining process is capable of machining of complex shape, which is difficult to machine in conventional machining process. Last decade, the EDM process involved demand for machining requirements with short period. Since the major risk of wire breakage, deflections of electrodes were affecting the performance accuracy of EDM operation. This paper describe about a comprehensive review of micro electro discharge machining process and its process optimization techniques used for last 10 years. Micro electro discharge machining has more important given to difficult to machine materials. In order to improve the surface integrity and performance of process, need to select proper process parameters. It reports on the Micro EDM research involving the optimization of the process parameters surveying the influence of the various factors affecting the machining performance and productivity.

scholarly journals Performance Study of EDM Process Parameters Using TiC/ZrSiO4 Particulate-Reinforced Copper Composite Electrode

2021 ◽  
pp. 547-556
Author(s):  
Duraisivam Saminatharaja ◽  
Suresh Periyakgounder ◽  
Mahalingam Selvaraj ◽  
Jamuna Elangandhi
Keyword(s):  
Process Parameters ◽  
Removal Rate ◽  
Optimization Techniques ◽  
Tool Electrode ◽  
Performance Study ◽  
Machining Performance ◽  
Peak Current ◽  
Sem Image ◽  
Pulse On Time ◽  
Edm Process

Electrical discharge machines (EDM) are widely employed in machining components containing complex profiles of hard-to-cut and machining materials. However, the fabrication-of-tool time for the EDM process is excessively high in the traditional machining method, which significantly affects the machining rate. Therefore, in this paper, a powder metallurgy (PM) technique is employed to fabricate the tool electrode using copper (Cu), titanium carbide (TiC), and zirconium silicate (ZrSiO4) for different combinations. An L18 orthogonal array (OA) is planned using the following input parameters: three types of tools (Cu, Cu90, Cu80), peak current (PC) [A], pulse on time (PT) [µs], and gap voltage (GV) [V]. The performance of EDM is evaluated through the material removal rate (MRR), tool wear rate (TWR), and surface roughness (SR). The process parameters are optimized using two different techniques: the technique for order of preference by similarity to the ideal solution (TOPSIS) and grey relational analysis (GRA). TOPSIS and GRA optimization techniques produce the same optimal parametric solution for less TWR, SR, and higher MRR with the combination of the Cu90 tool, E8 APC, 15 µs pulse PT, and 75 V GV. Based on the ANOVA table of TOPSIS, pulse on time plays a major role, contributing 46.8 % of the machining performance; peak current shows the most significant contribution of 39.3 % of the machining performance using GRA values. Furthermore, the scanning electron microscope (SEM) image analyses are carried out on the machined workpiece surface to understand the effect of tools on machining quality.

Analysis of Performance Characteristics by Firefly Algorithm-Based Electro Discharge Machining of SS 316

2021 ◽  
pp. 45-54
Author(s):  
Premangshu Mukhopadhyay
Keyword(s):  
Magnetic Field ◽  
Tool Wear ◽  
Firefly Algorithm ◽  
Tool Material ◽  
Machining Process ◽  
Machining Performance ◽  
Machining Processes ◽  
Electro Discharge Machining ◽  
Conventional Machining ◽  
Edm Process

The process of combining two or more non-conventional machining processes to obtain the required machining performance is known as hybridisation. Hybrid electro discharge machining came into the picture of macro machining due to the requirement of more rapid machining process with improved efficiency of non-conventional machining process. The technique of vibration assisted EDM process did not prove to be successful due to some disadvantages like increase in tool wear for low melting and comparatively softer tool material. Therefore, a need for more advanced hybridised process has been realized to improve the overall machining efficiency specially circularity and radial overcut. A permanent magnetic field force assisted EDM process was carried out on SS 316 plate with tungsten carbide tool of 5 mm diameter. MRR, TWR, and diametral overcut have been optimized by firefly algorithm technique which showed satisfactory results. It has been found that tool wear and diametral overcut has been found to be reduced with magnetic field-assisted EDM than conventional EDM processes.

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.

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.

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