Optimization of Electrical Discharge Machining of Titanium Alloy (Ti6Al4V) by Grey Relational Analysis Based Firefly Algorithm

2018 ◽  
pp. 29-53 ◽  
Author(s):  
Anshuman Kumar Sahu ◽  
Siba Sankar Mahapatra
Keyword(s):  
Titanium Alloy ◽  
Grey Relational Analysis ◽  
Electrical Discharge ◽  
Firefly Algorithm ◽  
Electrical Discharge Machining ◽  
Relational Analysis ◽  
Titanium Alloy Ti6al4v ◽  
Grey Relational

scholarly journals Optimization of Process Parameters of Wire Cut Electrical Discharge Machining on Titanium Grade-5 Material using Design of Experiments

2019 ◽  
Vol 8 (11) ◽  
pp. 3937-3946 ◽  
Keyword(s):  
Process Parameters ◽  
Grey Relational Analysis ◽  
Orthogonal Array ◽  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Relational Theory ◽  
Relational Analysis ◽  
Grade 5 ◽  
Titanium Grade ◽  
Grey Relational

In this paper, a compelling methodology, Taguchi grey relational analysis, was employed to the test results of wire-cut electrical discharge machining on Titanium Grade - 5 material with the consideration of multiple performance characteristics of the output response variables. The methodology merges the orthogonal array design of experiment with grey relational analysis. The primary target of this examination is to accomplish the maximization of material removal rate, minimization of both Surface roughness and kerf width. Grey relational theory is implemented to assess the optimal process parameters that improve the response measures. The test was finished by utilizing Taguchi's orthogonal array L18. Each test has been performed under various states of input parameters. The response table and grey relational grade for each level of the machining parameters have been established. From 18 tests, the best mix of parameters was identified. The results of test verify that the suggested technique in this investigation adequately develops the machining performance of Wire cut EDM process.

Study on the Surface Roughness of Titanium Alloy Machined by WEDM

2013 ◽  
Vol 683 ◽  
pp. 581-584 ◽  
Author(s):  
Shu Guo Zhao ◽  
Rui Li ◽  
Xiao Min Yao
Keyword(s):  
Surface Roughness ◽  
Titanium Alloy ◽  
Electrical Discharge ◽  
Medical Equipment ◽  
Electrical Discharge Machining ◽  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
Relational Analysis ◽  
Electric Parameters ◽  
Grey Relational

Due to the excellent characteristics of titanium alloy, was applied to aviation, marine, automotive, metallurgy, medical equipment and other fields. However, some of the characteristics make it machine difficultly, so the range of applications would be limited. In this paper, titanium alloy is cut by wire electrical discharge machining (WEDM) and study the surface finish. The model of surface roughness is established which is based on theoretical analysis. Experimental results were analyzed and optimized by the theory of signal-to-noise ratio and grey relational analysis (GRA) method. The minimal surface roughness is achieved by the optimal results .According to GRA, get the order that is the influence of electric parameters on the surface roughness.

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