scholarly journals Parametric optimization of CNC end milling using entropy measurement technique combined with grey-Taguchi method

2010 ◽  
Vol 2 (2) ◽  
Author(s):  
S Moshat ◽  
S Datta ◽  
A Bandyopadhyay ◽  
P Pal
Keyword(s):  
Taguchi Method ◽  
Measurement Technique ◽  
Parametric Optimization ◽  
End Milling ◽  
Entropy Measurement ◽  
Cnc End Milling ◽  
Grey Taguchi

scholarly journals Application of entropy measurement technique in grey based Taguchi method for optimization of MIG welding process parameters

1970 ◽  
Vol 8 (3) ◽  
pp. 13-26
Author(s):  
Rani Jatav ◽  
Vedansh Chaturvedi
Keyword(s):  
Taguchi Method ◽  
Process Parameters ◽  
Measurement Technique ◽  
Welding Process ◽  
Quality Characteristic ◽  
Mig Welding ◽  
Entropy Measurement ◽  
Grey Relational Grade ◽  
Grey Relational ◽  
Grey Taguchi

We seldom realized that without this form of metal work, many structures would cease to be in existence. A skilled journeymen welder joins metal in such a way that it is not able to be parted unless it is cut. Welding is an absolutely essential technique used in various industries like automotive industry, construction industry as well as in the aviation industry. Hence welding process parameters are required to be optimized for their responses or welding characteristics. This study incorporates entropy measurement technique based on grey Taguchi method to analyze multiple quality characteristic optimization of metal inert gas welding of low carbon steel plates. For this study, four control variables are selected current, voltage, gas flow rate and wire feed rate and analysing their effect on the four quality characteristics ultimate tensile strength, elongation %, bending strength and hardness of the weldments have been investigated in this paper. In order to optimize the multiple quality characteristic of the MIG welding, grey relational analysis coupled with entropy measurement method has been employed. Using entropy measurement method, value of weight corresponding to each quality characteristic has been assigned, so that the importance can be properly determined. Using the theory of grey relational analysis, these have been accumulated to calculate the overall grey relational grade. Signal to Noise ratio (S/N ratio) is applied to find the optimal parameter setting. To determine the contribution of MIG welding process parameters, Analysis of variance (ANOVA) on grey relational grade has been calculated. The confirmatory test also has been done for verifying the results. A foresaid methodology has been found fruitful in the cases where simultaneous optimization of huge number of responses is required.Keywords: Metal Inert Gas (MIG) Welding, Grey-Taguchi Method, Entropy Measurement Technique, Analysis of variance (ANOVA), S-N ratio.

Principal Component Analysis in Grey Based Taguchi Method for Optimization of Multiple Surface Quality Characteristics of 6061-T4 Aluminum in CNC End Milling

2011 ◽  
Author(s):  
Saurav Datta ◽  
Bharat Chandra Routara ◽  
Asish Bandyopadhyay ◽  
Siba Sankar Mahapatra ◽  
Francisco Chinesta ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Taguchi Method ◽  
Surface Quality ◽  
End Milling ◽  
Principal Component ◽  
Component Analysis ◽  
Quality Characteristics ◽  
Cnc End Milling

Parametric Optimization of CNC End Milling Process on Aluminium 6063 Alloy Using Grey Based Taguchi Method

2017 ◽  
Vol 867 ◽  
pp. 148-156
Author(s):  
Md Ashfaq Hussain ◽  
K.K. Prasad ◽  
Anil S. Jadhav ◽  
Gangadhar Biradar
Keyword(s):  
Taguchi Method ◽  
Grey Relational Analysis ◽  
End Milling ◽  
Removal Rate ◽  
Milling Process ◽  
Depth Of Cut ◽  
Relational Analysis ◽  
Response Optimization ◽  
Grey Relational ◽  
Cnc End Milling

This investigation focused on the multi-response optimization of CNC end milling of Aluminium 6063 Alloy material using Grey relational analysis and Taguchi method. Experiments were designed based on L9 Taguchi Orthogonal array, to arrive at an optimum parameter combination within the experimental domain. The spindle speed (S), feed rate (f) and depth of cut (d) which are known to have considerable effect on the selected responses i.e. surface roughness (Ra) and Material removal rate (MRR) and are considered as control parameters. The single objective optimization using Taguchi method more often results in conflicting requirements on control variables. To overcome this challenge, the Taguchi approach followed by Grey relational analysis was applied to solve this multi response optimization problem. The significance of these factors on overall quality characteristics of the milling process has also been evaluated quantitatively with the Analysis of variance method (ANOVA). Optimal results were verified through confirmation experiments. This shows feasibility of the Grey relation analysis in combination with Taguchi technique for continuous improvement in product quality in manufacturing industry and the suitability of the method to optimize the multi objective problems involved in CNC milling.

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