Optimization of multiple quality characteristics in bone drilling using grey relational analysis

This paper presents experimental study of laser cutting of Aluminium alloy sheet with the aim to optimize multiple quality characteristics such as cut edge surface roughness and kerf deviation, simultaneously. The Taguchi method combined with Grey relational analysis has been used for parameter optimization. The Principal component analysis and entropy measurement method have been used for eliminating co-linearity and deciding the weighting factors, respectively. The results indicate considerable improvements in multiple quality characteristics.

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Evaluation of geometrical quality characteristics in pulsed Nd:YAG laser cutting of Kevlar-29/Basalt fiber reinforced hybrid composite using Grey relational analysis based on genetic algorithm

FME Transaction ◽

10.5937/fmet1903560g ◽

2019 ◽

Vol 47 (3) ◽

pp. 560-575 ◽

Cited By ~ 5

Author(s):

Girish Gautam ◽

Dhananjay Mishra

Keyword(s):

Genetic Algorithm ◽

Grey Relational Analysis ◽

Nd:Yag Laser ◽

Laser Cutting ◽

Basalt Fiber ◽

Quality Characteristics ◽

Pulsed Nd:Yag Laser ◽

Relational Analysis ◽

Geometrical Quality ◽

Grey Relational

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Effect of Nano-coating on Molten Salts for Turbine Blades

Iraqi Journal of Nanotechnology ◽

10.47758/ijn.vi1.31 ◽

2020 ◽

pp. 54-63

Author(s):

Abbas Khammas ◽

Haider Hashim Abbas

Keyword(s):

Analysis Of Variance ◽

Master Alloy ◽

Grey Relational Analysis ◽

Turbine Blades ◽

Diffusion Coating ◽

Quality Characteristics ◽

Pack Cementation ◽

Relational Analysis ◽

Nano Coating ◽

Grey Relational

The purpose of this study is to optimize hot corroded pack coated Ni-based superalloy K417G using grey relational analysis. Optimization of the pack cementation parameters was performed using quality characteristics of diffusion coatings for pack cementation process, i.e., salt activator, Nano-powders master alloy powder, and wt.% Y2O3. Analysis of variance (ANOVA) was used for observing the most influencing pack cementation parameters on the quality characteristics, i.e., Na2So4-6% wt. V2O5 (kp1), 100 wt% NaSO4 (kp2), and 75 wt. % NaSO4-25 wt % NaCl (kp3). The optimal process parameters were calculated using a grey relation grade and a confirmation test was performed. Based on the analysis of variance results, the wt.% Y2O3 is the most significant controllable diffusion coating factor for the hot corroded pack coated K417G at optimum setting conditions (A2, B3, C3) i.e., activator (NaCl), master alloy (94Cr-6Al), and wt.%Y2O3 (4%). according to the quality characteristics. Grey relational analysis was successfully applied to the optimization of hot corroded pack coated K417G using multi-performance characteristics.

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Optimal Performance of Caps’ Pressing Process Using Taguchi-Grey Method

Modern Applied Science ◽

10.5539/mas.v13n2p275 ◽

2019 ◽

Vol 13 (2) ◽

pp. 275

Author(s):

Abbas Al-Refaie ◽

Rami H. Fouad ◽

Nour Bata

Keyword(s):

Grey Relational Analysis ◽

Control Charts ◽

Cost Savings ◽

Quality Characteristics ◽

Quality Characteristic ◽

Outer Diameter ◽

Process Factor ◽

Relational Analysis ◽

Pressing Process ◽

Grey Relational

This paper aims at improving the performance of caps’ pressing process using Taguchi-grey relational analysis. Five main quality characteristics were considered, involving cap’s height, inner diameter, outer diameter, angle, and plastic weight. The individual and moving range control charts were constructed for each quality characteristic. Then, process capability analysis was then carried out to assess process performance at initial process factor settings, at which the process was found incapable in producing conforming caps for some quality characteristics. Thus, the Taguchi’s designed experiments were employed to provide experimental layout followed by the grey relational analysis to determine the combination of optimal factor settings. Results showed significant in almost all the five quality responses and thereby resulted in huge production and quality cost savings. 

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