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

2014 ◽  
Vol 7 (2) ◽  
pp. 721093 ◽  
Author(s):  
Junxue Ren ◽  
Jinhua Zhou ◽  
Jianwei Wei
Keyword(s):  
Titanium Alloy ◽  
Taguchi Method ◽  
End Milling ◽  
Geometric Parameters ◽  
Grey Taguchi

scholarly journals Models of the relationship among geometric parameters and anti-friction mechanism of micro-texture ball-end milling cutter

2018 ◽  
Vol 10 (6) ◽  
pp. 168781401878147 ◽  
Author(s):  
Xianli Liu ◽  
Xin Tong ◽  
Shucai Yang ◽  
Chunsheng He ◽  
Xiao Liu
Keyword(s):  
Titanium Alloy ◽  
End Milling ◽  
Geometric Parameters ◽  
Friction Mechanism ◽  
Milling Cutter ◽  
Characteristic Model ◽  
Ball End Milling ◽  
Texture Parameters ◽  
Efficient Processing ◽  
The Relationship

Researches on the effect of the micro-texture on the cutting performance and the life of cutters are mostly aimed at turning cutters, but there are few researches on the ball-end milling cutter. On the basis geometry of the micro-texture, the distribution and the relationship among the geometric parameters of micro-pits are studied. A mechanical characteristic model of machining titanium alloy with the micro-texture ball-end milling cutter is established. Optimal parameters of the micro-texture are determined by the simulation. By the test of machining the titanium alloy with the micro-texture ball-end milling cutter, anti-friction properties, the influence laws of the micro-texture diameter on forces, and area occupancy on the tool wear are studied. This article provides a theoretical reference for determining the location of the micro-texture on ball-end milling cutter and selecting texture parameters reasonably. The anti-friction mechanism of the micro-texture is revealed by the theory, which provides a theoretical basis for the efficient processing of titanium alloy.

Robust Process Design towards through-Silicon via Quality Improvement Based on Grey-Taguchi Method

2012 ◽  
Vol 217-219 ◽  
pp. 2183-2186
Author(s):  
Chao Wei Tang ◽  
Li Chang Chuang ◽  
Hong Tsu Young ◽  
Mike Yang ◽  
Hsueh Chuan Liao
Keyword(s):  
Taguchi Method ◽  
Grey Relational Analysis ◽  
Chemical Etching ◽  
Through Silicon Via ◽  
Relational Analysis ◽  
Wet Chemical ◽  
Wet Chemical Etching ◽  
Etching Parameters ◽  
Grey Relational ◽  
Grey Taguchi

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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