scholarly journals Parametric investigation of machining parameters in determining the machinability of Inconel 718 using taguchi technique and grey relational analysis

2018 ◽  
Vol 133 ◽  
pp. 786-792 ◽  
Author(s):  
P. Pal Pandian ◽  
Ivan Sunit Rout
Keyword(s):  
Grey Relational Analysis ◽  
Inconel 718 ◽  
Machining Parameters ◽  
Taguchi Technique ◽  
Parametric Investigation ◽  
Relational Analysis ◽  
Grey Relational

Optimisation of ultrasonic assisted grinding of inconel 718 using grey relational analysis

2021 ◽  
Author(s):  
Sreethul Das ◽  
C. Pandivelan ◽  
M. S. S. Madhava Reddy ◽  
D. Kesava ◽  
Y. A. V. Avinash
Keyword(s):  
Grey Relational Analysis ◽  
Inconel 718 ◽  
Ultrasonic Assisted Grinding ◽  
Relational Analysis ◽  
Ultrasonic Assisted ◽  
Grey Relational

Multiple Performance Optimization in WEDM Parameters Using Grey Relational Analysis

2015 ◽  
Vol 813-814 ◽  
pp. 357-361
Author(s):  
T. Rajmohan ◽  
Gopi Krishna ◽  
Ankit Kumar Singh ◽  
A.P.V. Swamy Naidu
Keyword(s):  
Grey Relational Analysis ◽  
Performance Characteristics ◽  
304L Stainless Steel ◽  
Machining Parameters ◽  
Relational Analysis ◽  
Grey Relational ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Wedm Process ◽  
Off Time

In this investigation, a new approach is based on Grey Relational Analysis and Taguchi method to optimize the machining parameters with multi performance characteristics in WEDM of 304L SS. Experiments are conducted using Taguchi Quality Concept, L9,3-level orthogonal array was chosen for experiments .The WEDM parameters namely pulse-on time (TON), pulse-off time (TOFF), and wire feed (WF) on material removal rate (MRR) .The Grey Relational Analysis with multiple performance characteristics indicates that the pulse-on time (TON), pulse-off time (TOFF) are the most significant factors . The optimum machining parameters have been identified by Grey relational analysis and significant contribution of parameters can be determined by analysis of variance (ANOVA). The confirmation test is also conducted to validate the test result. The results from this study will be useful for manufacturing engineers to select appropriate WEDM process parameters to machine 304L Stainless Steel.

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