Parametric Optimization of High Speed Turning Operation of Hybrid Aluminium Composites Using Taguchi Based Grey Relational Analysis

2020 ◽  
Vol 9 (4) ◽  
pp. 1
Author(s):  
T.C.R. Dinesh ◽  
R. Kumaravelan ◽  
M. Arulraj ◽  
T.V. Arjunan ◽  
A. Thirumoorthy
Keyword(s):  
Grey Relational Analysis ◽  
High Speed ◽  
Parametric Optimization ◽  
Turning Operation ◽  
High Speed Turning ◽  
Relational Analysis ◽  
Grey Relational

Optimization of high-speed turning parameters for Inconel 713C based on Taguchi grey relational analysis

2019 ◽  
Vol 43 (3) ◽  
pp. 416-430
Author(s):  
V. Parthiban ◽  
S. Vijayakumar ◽  
M. Sakthivel
Keyword(s):  
Surface Roughness ◽  
Grey Relational Analysis ◽  
Feed Rate ◽  
High Speed ◽  
Cutting Speed ◽  
High Speed Turning ◽  
Relational Analysis ◽  
Inconel 713C ◽  
Grey Relational ◽  
The Impact

In this work, a propelled dynamic approach, Taguchi grey relational analysis has been employed to estimate the impact of untreated and cryogenically treated and oil-quenched WC-Co tools in high-speed turning of Inconel 713C alloy on cutting force and surface roughness. Taguchi grey relational analysis is executed to maximize the high-speed turning of Inconel 713C alloy taking into account various operating parameters (cutting speed, feed rate, and depth of cut). The L27 orthogonal array has been utilized to determine the signal-to-noise ratio. Analysis of variance was performed to recognize the large number of components influencing surface roughness. The numerical examination showed that feed rate, with percentages as high as 95%, had the most predominant impact on machining performance, followed by cutting speed for untreated and treated WC-Co tools.

scholarly journals Optimization of Machining Parameters using ANOVA and Grey Relational Analysis while Turning Aluminium 7075

2019 ◽  
Vol 8 (2) ◽  
pp. 5682-5686
Keyword(s):  
Grey Relational Analysis ◽  
High Speed ◽  
Removal Rate ◽  
High Speed Steel ◽  
Depth Of Cut ◽  
Total Production ◽  
Machining Parameters ◽  
Turning Operation ◽  
Relational Analysis ◽  
Grey Relational

In this research a detailed study is carried out on machining parameters for turning operation on aluminium 7075 with high speed steel. This grade of aluminium is known for its applications in aerospace industry and research about its machining parameters will lead to more developments in the field of production. Aim of this work is to optimize turning operation. Machining parameters viz. speed, feed and depth of cut are taken as input parameters. Material removal rate (MRR), tool wear (TWR), surface roughness (SR) are taken as output parameters and the set of optimized parameters means reduction in total production cost. The experiments are planned using Taguchi’s L9 orthogonal array. Grey relational analysis (GRA) is used for multi objective optimization using grey relational grades. Application of analysis of variance(ANOVA) helps in the identification of most prominent parameters among speed, feed and depth of cut

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