Optimization of Drilling Parameters During Machining of Al-Mg-Si Alloys By Taguchi Method Coupled with Grey Relational Analysis and Validated By Fea Based Deform - 3D

Abstract In the present work to validate the experimental results as per Taguchi based grey relational analysis by considering L27 orthogonal array corresponding to five factors with three levels and obtained optimal combination of input parameters to minimize the output responses during drilling process which is most important finishing operation required in the structural assembly works where we found application of Al-Mg-Si alloys, Deform-3D software is implemented and found good feasibility with that of experimental results.

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Grey Relational Analysis Based Taguchi Method for Optimization Design of the Drilling Parameters in PCB Drilling Process

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.649.104 ◽

2015 ◽

Vol 649 ◽

pp. 104-111

Author(s):

Teshome Mulatie Bogale ◽

Fang Jung Shiou ◽

Geo Ry Tang

Keyword(s):

Taguchi Method ◽

Grey Relational Analysis ◽

Optimization Design ◽

Circuit Board ◽

Drilling Process ◽

Wear Area ◽

Relational Analysis ◽

Drilling Parameters ◽

Performance Optimizations ◽

Grey Relational

The purpose of this paper is to study the multiple performance optimizations of printed circuit board (PCB) drilling parameters. The major characteristics indexes for performance selected to evaluate the processes are flank wear area of microdrill and diameter of the PCB through-hole, and the corresponding drilling parameters are spindle speed, infeed, and backfeed rate. Thus, the grey relational analysis based Taguchi method has been employed to determine the optimal combination of drilling parameters. The results of confirmation experiments reveal that the average values of grey relational grade fall within the 95% confidence interval, hence the multiple performance optimizations of PCB drilling parameters using grey relational analysis based Taguchi method is proven to be reliable and effective.

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

SN Applied Sciences ◽

10.1007/s42452-021-04337-6 ◽

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.

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