Optimization of multiple quality characteristics for injection moulded polyamide helical gear via integration of Taguchi method and Grey relational analysis

The robust design of chemical etching parameters is dealing with the optimization of the through-silicon via (TSV) roundness error and TSV lateral etching depth in the etching of silicon for laser drilled TSVs. The considered wet chemical etching parameters comprise the HNO3 molarity, HF molarity, and etching time. Grey-Taguchi method is combining the orthogonal array design of experiments with Grey relational analysis (GRA), which enables the determination of the optimal combination of wet chemical etching parameters for multiple process responses. The concept of Grey relational analysis is to find a Grey relational grade, which can be used for the optimization conversion from a multiple objective case to a single objective case. Also, GRG is used to investigate the parameter effects to the overall quality targets.

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Optimization of P-GMAW parameters using Grey relational analysis and Taguchi method

2021 IEEE 12th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT) ◽

10.1109/icmimt52186.2021.9476176 ◽

2021 ◽

Author(s):

Jeyaganesh D ◽

Aiman Ziout ◽

Jaber Abu Qudeiri

Keyword(s):

Taguchi Method ◽

Grey Relational Analysis ◽

Relational Analysis ◽

Grey Relational

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Optimization of Cutting Parameters of Multiple Performance Characteristics in End Milling of AlSi/AIN MMC – Taguchi Method and Grey Relational Analysis

Jurnal Teknologi ◽

10.11113/jt.v68.2992 ◽

2014 ◽

Vol 68 (4) ◽

Cited By ~ 3

Author(s):

S. H. Tomadi ◽

J. A. Ghani ◽

C. H. Che Haron ◽

M. S. Kasim ◽

A. R. Daud

Keyword(s):

Taguchi Method ◽

Grey Relational Analysis ◽

Volume Fraction ◽

End Milling ◽

Cutting Speed ◽

Cutting Parameters ◽

Performance Characteristics ◽

Depth Of Cut ◽

Relational Analysis ◽

Grey Relational

The main objective of this paper is to investigate and optimize the cutting parameters on multiple performance characteristics in end milling of Aluminium Silicon alloy reinforced with Aluminium Nitride (AlSi/AlN MMC) using Taguchi method and Grey relational analysis (GRA). The fabrication of AlSi/AlN MMC was made via stir casting with various volume fraction of particles reinforcement (10%, 15% and 20%). End milling machining was done under dry cutting condition by using two types of cutting tool (uncoated & PVD TiAlN coated carbide). Eighteen experiments (L18) orthogonal array with five factors (type of tool, cutting speed, feed rate, depth of cut, and volume fraction of particles reinforcement) were implemented. The analysis of optimization using GRA concludes that the better results for the combination of lower surface roughness, longer tool life, lower cutting force and higher material removal could be achieved when using uncoated carbide with cutting speed 240m/min, feed 0.4mm/tooth, depth of cut 0.3mm and 15% volume fraction of AlN particles reinforcement. The study confirmed that with a minimum number of experiments, Taguchi method is capable to design the experiments and optimized the cutting parameters for these performance characteristics using GRA for this newly develop material under investigation.

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Tribological Performance Optimization of Al-7.5% SiCp Composites Using the Taguchi Method and Grey Relational Analysis

Journal of Composites ◽

10.1155/2013/274527 ◽

2013 ◽

Vol 2013 ◽

pp. 1-9 ◽

Cited By ~ 12

Author(s):

Shouvik Ghosh ◽

Prasanta Sahoo ◽

Goutam Sutradhar

Keyword(s):

Taguchi Method ◽

Metal Matrix Composite ◽

Matrix Composite ◽

Grey Relational Analysis ◽

Metal Matrix ◽

Friction And Wear ◽

Tribological Performance ◽

Relational Analysis ◽

Test Parameters ◽

Grey Relational

The present study considers an experimental study of tribological performance of Al-7.5% SiCp metal matrix composite and optimization of tribological testing parameters based on the Taguchi method coupled with grey relational analysis. A grey relational grade obtained from grey relational analysis is used as a performance index to study the behaviour of Al-7.5% SiCp MMC with respect to friction and wear characteristics. The tribological experiments are carried out by utilizing the combinations of tribological test parameters based on the L27 Taguchi orthogonal design with three test parameters, namely, load, speed, and time. The material Al-7.5% SiCp metal matrix composite is developed by reinforcing LM6 aluminium alloy with 7.5% (by weight) SiC particle of 400 mesh size (~37 μm) in an electric melting furnace. It is observed that sliding time has a significant contribution in controlling the friction and wear behaviour of Al-7.5% SiCp MMC. Furthermore, all the interactions between the parameters have significant influence on tribological performance. A confirmation test is also carried out to verify the accuracy of the results obtained through the optimization problem. In addition, a scanning electron microscopy (SEM) test is performed on the wear tracks to study the wear mechanism.

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