scholarly journals Analysis and optimization of laser drilling process during machining of AISI 303 material using grey relational analysis approach

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
V. Chengal Reddy ◽  
Thota Keerthi ◽  
T. Nishkala ◽  
G. Maruthi Prasad Yadav
Keyword(s):  
Surface Roughness ◽  
Process Parameters ◽  
Grey Relational Analysis ◽  
Pulse Frequency ◽  
Laser Drilling ◽  
Simultaneous Optimization ◽  
Fibre Laser ◽  
Drilling Process ◽  
Relational Analysis ◽  
Grey Relational

AbstractSurface roughness and heat-affected zone (HAZ) are the important features which influence the performance of the laser-drilled products. Understanding the influence of laser process parameters on these responses and identifying the cutting conditions for simultaneous optimization of these responses are a primary requirement in order to improve the laser drilling performance. Nevertheless, no such contribution has been made in the literature during laser drilling of AISI 303 material. The aim of the present work is to optimize the surface roughness (Ra) and HAZ in fibre laser drilling of AISI 303 material using Taguchi-based grey relational analysis (GRA). From the GRA methodology, the recommended optimum combination of process parameters is flushing pressure at 30 Pa, laser power at 2000 W and pulse frequency at 1500 Hz for simultaneous optimization of Ra and HAZ, respectively. From analysis of variance, the pulse frequency is identified as the most influenced process parameters on laser drilling process performance.

Optimization of WEDM Process Parameters for MRR and Surface Roughness using Taguchi-Based Grey Relational Analysis

2015 ◽  
Vol 2 (1) ◽  
pp. 1-25 ◽  
Author(s):  
Milan Kumar Das ◽  
Kaushik Kumar ◽  
Tapan Kumar Barman ◽  
Prasanta Sahoo
Keyword(s):  
Surface Roughness ◽  
Process Parameters ◽  
Grey Relational Analysis ◽  
Confirmatory Test ◽  
Relational Analysis ◽  
Minimum Surface ◽  
Grey Relational ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Wedm Process

This article presents an experimental study of material removal rate (MRR) and surface roughness characteristics of wire electrical discharge machining (WEDM) and the optimization of process parameters based on Taguchi method coupled with grey relational analysis for minimum surface roughness and maximum MRR. Experiments are carried out by utilizing the combination of process parameters viz. discharge current, voltage, pulse on time and pulse off time based on L27 Taguchi orthogonal array (OA). Analysis of variance (ANOVA) carried out and it reveals that current has the maximum contribution in controlling MRR and surface characteristics of WEDM. The interaction between voltage and pulse on time is also found to have significant contribution in MRR and surface roughness characteristics. The optimum combination of process parameters for maximum MRR and minimum surface roughness is obtained and the optimal setting has been verified through confirmatory test. The result shows good agreement between the predicted and experimental results. This indicates the utility of the grey-Taguchi technique as multi-objective optimizer in the field of WEDM. Also, variation of responses with process parameters are also studied using 3D surface plots. Finally, the microstructure analysis in the region of cutting surface is performed using scanning electron microscopy (SEM).

Optimization of WEDM Process Parameters of Hybrid Composites (A413 / B4C / Fly Ash) Using Grey Relational Analysis

2014 ◽  
Vol 592-594 ◽  
pp. 658-662 ◽  
Author(s):  
J. Milton Peter ◽  
J. Udaya Prakash ◽  
T.V. Moorthy
Keyword(s):  
Surface Roughness ◽  
Fly Ash ◽  
Process Parameters ◽  
Material Removal Rate ◽  
Grey Relational Analysis ◽  
Material Removal ◽  
Hybrid Composites ◽  
Removal Rate ◽  
Relational Analysis ◽  
Grey Relational

This paper presents an optimum method to find the significant parameters affecting Wire Electrical Discharge machining (WEDM) performance using Grey relational analysis. A413 Aluminium Alloy reinforced with 20 microns of Boron Carbide and 75 microns of Fly Ash, hybrid composites was fabricated using stir casting technique. Experiments have been conducted with the process parameters like pulse on time, pulse off time, wire feed, gap voltage and weight percentage reinforcement with three different levels. The influence of each parameter on the responses material removal rate and surface roughness is established using analysis of variances (ANOVA). The optimal machining-parameters setting for minimum surface roughness and maximum material removal rate was obtained by applying Grey relational analysis.

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