scholarly journals Optimization of electrical discharge machining processing for ceramics using grey-taguchi system

2021 ◽  
pp. 2141014
Author(s):  
Yue-Peng Zeng ◽  
Chiang-Lung Lin ◽  
Jung-Chou Hung ◽  
Cheng-Fu Yang
Keyword(s):  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Optimal Level ◽  
Electrode Wear ◽  
Machining Processes ◽  
Experimental Conditions ◽  
Lower Electrode ◽  
Processing Technologies ◽  
Machining Parameter ◽  
Grey Taguchi

Electrical discharge machining (EDM) is one of the importantly non-traditional processing technologies employed for ceramics’ surface processing. Modeling and optimization of the EDM process are essentially applied to find and obtain the optimal values of the responses for materials having smaller surface roughness, higher removing rate of materials, lower electrode wear rate. In this study, the Grey-Taguchi system with AHP weighting was applied in order to optimize the multi-responses of the EDM processing for ceramics. When the EDM processing was used in the ZrO2 ceramics for adhesive metal foils, the multi-response gray relational grade for the optimal level of machining parameter was 0.2685, which was higher than those using the initial experimental conditions. This study has proven that using the Grey-Taguchi system method with AHP weighting to find a model with a highly efficient standard for optimizing differently advanced machining processes is profitable.

scholarly journals Multi-Performance Optimization in Electrical Discharge Machining of Al2O3 Ceramics Using Taguchi Base AHP Weighted TOPSIS Method

Processes ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1647
Author(s):  
Yue-Peng Zeng ◽  
Chiang-Lung Lin ◽  
Hong-Mei Dai ◽  
Yan-Cherng Lin ◽  
Jung-Chou Hung
Keyword(s):  
Process Parameters ◽  
Performance Optimization ◽  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Statistical Technique ◽  
Electrode Wear ◽  
Machining Parameters ◽  
Relative Closeness ◽  
Machining Parameter

The main application of electrical discharge machining in ceramic processing is limited to conductive ceramics. However, the most commonly used non-conductive potteries in modern industry, such as aluminum oxide (Al2O3), also reveal the limitations of choosing a suitable process. In this study, Taguchi based TOPSIS coupled with AHP weight method to optimize the machining parameters of EDM on Al2O3 leads to better multi-performance. The results showed that the technique is suitable for tackling multi-performance machining parameter optimization. The adhesive foil had a significant impact on material removal rate, electrode wear rate, and surface roughness, according to the findings. In addition, the response graph of relative closeness is used to determine the optimal combination levels of machining parameters. A confirmation test revealed a good agreement between predicted and experimental preference values at an optimum combination of the input parameters. The suggested experimental and statistical technique is a simple, practical, and reliable methodology for optimizing EDM process parameters on Al2O3 ceramics. This approach might be utilized to optimize and improve additional process parameters in the future.

scholarly journals Electrical Discharge Machining of Al (6351)-5% SiC-10% B4C Hybrid Composite: A Grey Relational Approach

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
S. Suresh Kumar ◽  
M. Uthayakumar ◽  
S. Thirumalai Kumaran ◽  
P. Parameswaran ◽  
E. Mohandas
Keyword(s):  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Stir Casting ◽  
Electrode Wear ◽  
Relational Approach ◽  
Process Characteristics ◽  
Multiresponse Optimization ◽  
Grey Relational ◽  
Machining Parameter ◽  
Machining Characteristics

The goal of the present experimental work is to optimize the electrical discharge machining (EDM) parameters of aluminum alloy (Al 6351) matrix reinforced with 5 wt.% silicon carbide (SiC) and 10 wt.% boron carbide (B4C) particles fabricated through the stir casting route. Multiresponse optimization was carried out through grey relational analysis (GRA) with an objective to minimize the machining characteristics, namely electrode wear ratio (EWR), surface roughness (SR) and power consumption (PC). The optimal combination of input parameters is identified, which shows the significant enhancement in process characteristics. Contributions of each machining parameter to the responses are calculated using analysis of variance (ANOVA). The result shows that the pulse current contributes more (83.94%) to affecting the combined output responses.

Effect of low-frequency vibrations on MRR, EWR and Ra in powder-mixed electrical discharge machining

2020 ◽  
Vol 34 (22n24) ◽  
pp. 2040153
Author(s):  
Quang Dung Le ◽  
Huu Phan Nguyen ◽  
Tien Long Banh ◽  
Duc Toan Nguyen
Keyword(s):  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Low Frequency ◽  
Lower Surface ◽  
Dielectric Fluid ◽  
Electrode Wear ◽  
Maximum Increase ◽  
Lower Electrode ◽  
Powder Mixed Edm

In this study, the effects of low-frequency vibrations on machining SKD61 steel workpiece in electrical discharge machining (EDM) with titanium powder-mixed dielectric fluid were investigated. The results showed that the vibrations incorporated into the workpiece in powder-mixed EDM (PMEDM) led to significant improvement in machining efficiency. The material removal rate had the maximum increase of 141.7% with 70.2% of lower electrode wear rate and 69.9% of lower surface roughness. Hence, it is proved that the effectiveness of vibration in PMEDM can be improved.

Recent Patents on Micro-EDM Milling

2020 ◽  
Vol 13 (3) ◽  
pp. 219-229
Author(s):  
Baocheng Xie ◽  
Jianguo Liu ◽  
Yongqiu Chen
Keyword(s):  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Three Dimensional ◽  
Processing Method ◽  
Electrode Wear ◽  
Micro Edm ◽  
Processing Efficiency ◽  
Processing Methods ◽  
Machining Quality ◽  
Micro Electrical Discharge Machining

Background: Micro-Electrical Discharge Machining (EDM) milling is widely used in the processing of complex cavities and micro-three-dimensional structures, which is a more effective processing method for micro-precision parts. Thus, more attention has been paid on the micro-EDM milling. Objective : To meet the increasing requirement of machining quality and machining efficiency of micro- EDM milling, the processing devices and processing methods of micro-EDM milling are being improved continuously. Methods: This paper reviews various current representative patents related to the processing devices and processing methods of micro-EDM milling. Results: Through summarizing a large number of patents about processing devices and processing methods of micro-EDM milling, the main problems of current development, such as the strategy of electrode wear compensation and the development trends of processing devices and processing methods of micro-EDM milling are discussed. Conclusion: The optimization of processing devices and processing methods of micro-EDM milling are conducive to solving the problems of processing efficiency and quality. More relevant patents will be invented in the future.

Experimental Study of Machining of Shape Memory Alloys Using Dry Micro Electrical Discharge Machining Process

2018 ◽  
Author(s):  
Sagil James ◽  
Sharadkumar Kakadiya
Keyword(s):  
Shape Memory Alloys ◽  
Shape Memory ◽  
Electrical Discharge ◽  
Material Removal ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Dielectric Medium ◽  
Machining Process ◽  
Machining Processes ◽  
Micro Electrical Discharge Machining

Shape Memory Alloys are smart materials that tend to remember and return to its original shape when subjected to deformation. These materials find numerous applications in robotics, automotive and biomedical industries. Micromachining of SMAs is often a considerable challenge using conventional machining processes. Micro-Electrical Discharge Machining is a combination of thermal and electrical processes, which can machine any electrically conductive material at micron scale independent of its hardness. It employs dielectric medium such as hydrocarbon oils, deionized water, and kerosene. Using liquid dielectrics has adverse effects on the machined surface causing cracking, white layer deposition, and irregular surface finish. These limitations can be minimized by using a dry dielectric medium such as air or nitrogen gas. This research involves the experimental study of micromachining of Shape Memory Alloys using dry Micro-Electrical Discharge Machining process. The study considers the effect of critical process parameters including discharge voltage and discharge current on the material removal rate and the tool wear rate. A comparison study is performed between the Micro-Electrical Discharge Machining process with using the liquid as well as air as the dielectric medium. In this study, microcavities are successfully machined on shape memory alloys using dry Micro-Electrical Discharge Machining process. The study found that the dry Micro-Electrical Discharge Machining produces a comparatively better surface finish, has lower tool wear and lesser material removal rate compared to the process using the liquid as the dielectric medium. The results of this research could extend the industrial applications of Micro Electrical Discharge Machining processes.

An extensive review on sustainable developments of dry and near-dry electrical discharge machining processes

2021 ◽  
pp. 1-37
Author(s):  
Sampath Boopathi
Keyword(s):  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Optimization Techniques ◽  
Machining Process ◽  
Working Fluid ◽  
Dielectric Fluid ◽  
Extensive Literature ◽  
Machining Processes ◽  
Research Activities ◽  
Dry Edm

Abstract Electrical discharge machining (EDM) is very essential unconventional electro-thermal machining process to machine the contour profile of hard materials in modern production industries. The liquid dielectric fluid has been replaced by the gas and minimum quantity of liquid mixed with gas (gas-mist) to encourage the green machining processes. The various gases and gas-mist have been used as the working fluid in dry and near-dry EDM respectively. The research-contextual, various dielectric fluids, sustainable and innovative developments, process parameters, machining characteristics, and optimization techniques applied in various dry and near-dry EDM have been illustrated through an extensive literature survey. Future research opportunities in both dry and near-dry EDM have been summarized to promote eco-friendly EDM research activities.

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