Optimization of Wire Cut Electric Discharge Machining Characteristics of Hybrid Aluminium Composites (Al6061/Gr/SiCp) Using Taguchi Method

2021 ◽  
pp. 49-60
Author(s):  
P. Gavisiddesha ◽  
C. Thotappa ◽  
Veerabhadrappa Algur ◽  
B. Suresh Reddy
Keyword(s):  
Taguchi Method ◽  
Electric Discharge ◽  
Electric Discharge Machining ◽  
Machining Characteristics

scholarly journals Comparative Analysis of Machining Characteristics of EDM and ECM during Machining of Ti-6Al-4V

2021 ◽  
Vol 23 (2) ◽  
Author(s):  
Banwait S.S. ◽  
◽  
Sanjay S ◽  
Keyword(s):  
Surface Roughness ◽  
Material Removal Rate ◽  
Electric Discharge ◽  
Material Removal ◽  
Removal Rate ◽  
Electric Discharge Machining ◽  
Pulse On Time ◽  
Surface Finish Effect ◽  
Machining Characteristics

The present work explains the machining of Titanium alloy using Electric Discharge Machining & Electro-Chemical Machining. This work aims to analyze the role of Current, Pulse on Time, Voltage and hence optimize the Material Removal Rate and Surface Roughness in Electric Discharge Machining. In the same way, it also aims to analyze the role of Concentration, Feed, and Voltage and optimize the Material Removal Rate and Surface Roughness in Electro-Chemical Machining. The various approaches like Taguchi & Analysis of Variance are executed to study the performance characteristics of the input parameters on the output parameters. The whole work is followed by a validation test and hence confirming the obtained values. Thus, it reveals the acceptability of the model. The work tells that Material Removal Rate and Surface Finish effect is more in Electro-Chemical Machining as compared to Electric Discharge Machining. For Material Removal Rate, Current and Feed are more responsible parameters for Electric Discharge Machining. In the same way; electrolyte concentration and Feed are more responsible parameters for Electro-Chemical Machining respectively.

Modeling and Optimization of Process Parameters in Micro Wire EDM by Genetic Algorithm

2009 ◽  
Vol 76-78 ◽  
pp. 566-570 ◽  
Author(s):  
K.P. Somashekhar ◽  
N. Ramachandran ◽  
Jose Mathew
Keyword(s):  
Genetic Algorithm ◽  
Process Parameters ◽  
Electric Discharge ◽  
Regression Models ◽  
Electric Discharge Machining ◽  
Optimization Of Process Parameters ◽  
Wire Electric Discharge Machining ◽  
Factor Regression ◽  
Wedm Process ◽  
Machining Characteristics

The present work is aimed at optimizing the parameters of micro Wire Electric Discharge Machining (µ-WEDM) process by considering the simultaneous effects of input parameters viz: gap voltage, capacitance and feed rate. Experiments were planned and conducted using DoE techniques. ANOVA was performed to find out the significance of each factor. Regression models were developed for the experimental results of surface roughness and overcut of the micro slots produced on aluminium. Then Genetic Algorithm (GA) was employed to determine the values of optimal process parameters for the desired output value of micro wire electric discharge machining characteristics.

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