Application of Taguchi method in the optimization of end milling parameters

This paper discusses burr formation in micromilling of AISI 304 stainless steel. Chip load, cutting speed and the application of coolant were chosen as the milling parameters. Experiments were conducted using 500 µm diameter tungsten carbide end milling tool. Milling parameters and measured burr height values were analyzed and statistical models were developed for the estimation of burr height. The models showed that the chip load and cutting speed both have direct and interactive contribution to burr formation. When micromachining without coolant, the burr height increases about 40% compared to that of machining with coolant. The optimized values of chip load and cutting speed were found to be 1 µm/tooth and 78 mms-1 respectively. The predicted burr heights were 5-7% larger than that of measured values.

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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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Optimization of Cutter Geometric Parameters in End Milling of Titanium Alloy Using the Grey-Taguchi Method

Advances in Mechanical Engineering ◽

10.1155/2014/721093 ◽

2014 ◽

Vol 7 (2) ◽

pp. 721093 ◽

Cited By ~ 8

Author(s):

Junxue Ren ◽

Jinhua Zhou ◽

Jianwei Wei

Keyword(s):

Titanium Alloy ◽

Taguchi Method ◽

End Milling ◽

Geometric Parameters ◽

Grey Taguchi

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Experimental Investigation and Optimization of End-Milling Parameters in the Machining of Inconel 825 Using Carbide-Coated Tool

Proceedings of International Conference on Intelligent Manufacturing and Automation - Lecture Notes in Mechanical Engineering ◽

10.1007/978-981-13-2490-1_36 ◽

2018 ◽

pp. 401-412

Author(s):

Hari Vasudevan ◽

Ramesh Rajguru ◽

Geet Dave ◽

Arun Alva ◽

Vinil Punjani ◽

...

Keyword(s):

Experimental Investigation ◽

End Milling ◽

Milling Parameters ◽

Coated Tool ◽

Inconel 825

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Surface Roughness and Chip Formation of AlSi/AIN Metal Matrix Composite by End Milling Machining using the Taguchi Method

Jurnal Teknologi ◽

10.11113/jt.v68.2989 ◽

2014 ◽

Vol 68 (4) ◽

Author(s):

M. S. Said ◽

J. A. Ghani ◽

R. Othman ◽

M. A. Selamat ◽

N. N. Wan ◽

...

Keyword(s):

Surface Roughness ◽

Taguchi Method ◽

Matrix Composite ◽

Surface Finish ◽

Chip Formation ◽

End Milling ◽

Cutting Speed ◽

Depth Of Cut ◽

Taguchi Optimization ◽

Cutting Speeds

The purpose of this research is to demonstrate surface roughness and chip formation by the machining of Aluminium silicon alloy (AlSic) matrix composite, reinforced with aluminium nitride (AlN), with three types of carbide inserts present. Experiments were conducted at various cutting speeds, feed rates, and depths of cut, according to the Taguchi method, using a standard orthogonal array L9 (34). The effects of cutting speeds, feed rates, depths of cut, and types of tool on surface roughness during the milling operation were evaluated using Taguchi optimization methodology, using the signal-to-noise (S/N) ratio. The surface finish produced is very important in determining whether the quality of the machined part is within specification and permissible tolerance limits. It is understood that chip formation is a fundamental element that influences tool performance. The analysis of chip formation was done using a Sometech SV-35 video microscope. The analysis of results, using the S/N ratio, concluded that a combination of low feed rate, low depth of cut, medium cutting speed, and an uncoated tool, gave a remarkable surface finish. The chips formed from the experiment varied from semi–continuous to discontinuous.

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