Online modeling and monitoring of power consumption, aerosol emissions, and surface roughness in wire cut electric discharge machining of Ti-6Al-4 V

2022 ◽  
Author(s):  
Kaki Venkata Rao ◽  
Yekula Prasanna Kumar ◽  
Vijay Kumar Singh ◽  
Balla Srinivasa Prasad
Keyword(s):  
Surface Roughness ◽  
Power Consumption ◽  
Electric Discharge ◽  
Electric Discharge Machining ◽  
Online Modeling ◽  
Aerosol Emissions

Optimization and Prediction of Machining Responses Using Response Surface Methodology and Adaptive Neural Network by Wire Electric Discharge Machining of Alloy-X

2021 ◽  
Vol 1026 ◽  
pp. 28-38
Author(s):  
I. Vishal Manoj ◽  
S. Narendranath ◽  
Alokesh Pramanik
Keyword(s):  
Neural Network ◽  
Surface Roughness ◽  
Artificial Neural Network ◽  
Response Surface ◽  
Electric Discharge ◽  
Cutting Speed ◽  
Electric Discharge Machining ◽  
Surface Method ◽  
Wire Electric Discharge Machining ◽  
Pulse On Time

Wire electric discharge machining non-contact machining process based on spark erosion technique. It can machine difficult-to-cut materials with excellent precision. In this paper Alloy-X, a nickel-based superalloy was machined at different machining parameters. Input parameters like pulse on time, pulse off time, servo voltage and wire feed were employed for the machining. Response parameters like cutting speed and surface roughness were analyzed from the L25 orthogonal experiments. It was noted that the pulse on time and servo voltage were the most influential parameters. Both cutting speed and surface roughness increased on increase in pulse on time and decrease in servo voltage. Grey relation analysis was performed to get the optimal parametric setting. Response surface method and artificial neural network predictors were used in the prediction of cutting speed and surface roughness. It was found that among the two predictors artificial neural network was accurate than response surface method.

Effects of Machining Fluid on Electric Discharge Machining of SiC Ingot

2014 ◽  
Vol 778-780 ◽  
pp. 767-770 ◽  
Author(s):  
Norimasa Yamamoto ◽  
Satarou Yamaguchi ◽  
Tomohisa Kato
Keyword(s):  
Surface Roughness ◽  
Silicon Carbide ◽  
Ion Exchange ◽  
Electric Discharge ◽  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Electric Discharge Machining ◽  
The Wire ◽  
Characteristic Features ◽  
First Time

Recently, ingots of silicon carbide have been adapted to be sliced by the wire-cut electrical discharge machining. Fast slicing, and the reduction in the loss are important for slicing of the wafer. In this paper, characteristic features of the electric discharge machining in the ion-exchange water and the fluorine-based fluid were compared for these improvement. The discharge was caused by a pulse voltage applied to a ingot of silicon carbide and the wire in machining fluid, and the slicing was proceeded. As a result, improvement of surface roughness and kerf loss was confirmed, for the first time. In addition, the improving methods for fast slicing were considered.

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.

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