Optimization of process parameters of green electrical discharge machining using principal component analysis (PCA)

2015 ◽  
Vol 87 (5-8) ◽  
pp. 1299-1311 ◽  
Author(s):  
Jagadish ◽  
Amitava Ray
Keyword(s):  
Principal Component Analysis ◽  
Process Parameters ◽  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Principal Component ◽  
Component Analysis ◽  
Optimization Of Process Parameters

Multi-Objective Optimization of EDM Process Parameters using Taguchi Method, Principal Component Analysis and Grey Relational Analysis

2014 ◽  
Vol 4 (2) ◽  
pp. 29-46 ◽  
Author(s):  
U. Shrinivas Balraj ◽  
A. Gopala Krishna
Keyword(s):  
Principal Component Analysis ◽  
Taguchi Method ◽  
Process Parameters ◽  
Grey Relational Analysis ◽  
Electrical Discharge Machining ◽  
Principal Component ◽  
Component Analysis ◽  
Optimum Process ◽  
Relational Analysis ◽  
Grey Relational

This paper investigates multi-objective optimization of electrical discharge machining process parameters using a new combination of Taguchi method and principal component analysis based grey relational analysis. In this study, three conflicting performance characteristics related to surface integrity such as surface roughness, white layer thickness and surface crack density are considered in electrical discharge machining of RENE80 nickel super alloy. The process parameters considered are peak current, pulse on time and pulse off time. The experiments are conducted based on Taguchi method and these experimental results are used in grey relational analysis and weights of the corresponding performance characteristics are determined by principal component analysis. The weighted grey relational grade is used as a performance index to determine optimum process parameters and results of the confirmation experiments indicate that the combined approach is effective in determining optimum process parameters.

Optimization of Process Parameters Using Soft Computing Techniques

2017 ◽  
pp. 177-220
Author(s):  
Supriyo Roy ◽  
Kaushik Kumar ◽  
J. Paulo Davim
Keyword(s):  
Soft Computing ◽  
Process Parameters ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Principal Component ◽  
Optimization Of Process Parameters ◽  
Hard Metals ◽  
Optimal Values ◽  
Grey Relational ◽  
Conventional Machining

Machining of hard metals and alloys using Conventional machining involves increased demand of time, energy and cost. It causes tool wear resulting in loss of quality of the product. Non-conventional machining, on the other hand produces product with minimum time and at desired level of accuracy. In the present study, EN19 steel was machined using CNC Wire Electrical discharge machining with pre-defined process parameters. Material Removal Rate and Surface roughness were considered as responses for this study. The present optimization problem is single and as well as multi-response. Considering the complexities of this present problem, experimental data were generated and the results were analyzed by using Taguchi, Grey Relational Analysis and Weighted Principal Component Analysis under soft computing approach. Responses variances with the variation of process parameters were thoroughly studied and analyzed; also ‘best optimal values' were identified. The result shows an improvement in responses from mean to optimal values of process parameters.

Optimization of process parameters in Electrical Discharge Machining of Haste Alloy C276 using Taguchi’s method

2018 ◽  
Vol 5 (6) ◽  
pp. 14432-14439 ◽  
Author(s):  
Ramesh Raju ◽  
N. Manikandan ◽  
D. Palanisamy ◽  
D. Arulkirubakaran ◽  
S. SambathKumar ◽  
...  
Keyword(s):  
Process Parameters ◽  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Taguchi’S Method ◽  
Optimization Of Process Parameters
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