Optimization of cutting parameters for surface roughness in ball end milling of aluminium epoxy using Taguchi method

2019 ◽  
Author(s):  
H. Radhwan ◽  
S. Sharif ◽  
Z. Shayfull ◽  
M. A. Suhaimi ◽  
M. T. Mohd Khushairi ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Taguchi Method ◽  
End Milling ◽  
Cutting Parameters ◽  
Ball End Milling ◽  
Optimization Of Cutting Parameters

Optimization of Cutting Parameters for Surface Roughness in Cold-Air Milling Ti6Al4V

2010 ◽  
Vol 431-432 ◽  
pp. 233-236
Author(s):  
Feng Jiang ◽  
Jian Feng Li ◽  
Jie Sun ◽  
Song Zhang ◽  
Lan Yan
Keyword(s):  
Surface Roughness ◽  
Material Removal ◽  
End Milling ◽  
Removal Rate ◽  
Cutting Parameters ◽  
Quadratic Model ◽  
Machining Center ◽  
Optimization Of Cutting Parameters ◽  
The Given ◽  
Good Agreement

In this study, orthogonal arrays were applied in the design of the experiments and Ti6Al4V end-milling experiments were performed on the DAEWOO machining center. The white light interferometer was used to obtain the average surface roughness (Ra). A quadratic model was proposed to fit the experimental data of the surface roughness. And the fit model was used to optimize the cutting parameters in the given material removal rate. Finally the verification experiments showed good agreement with the estimated results.

The Effect of Cooling Lubrication Methods on Surface Roughness Measured by the White Light Interferometer

2009 ◽  
Vol 76-78 ◽  
pp. 471-478 ◽  
Author(s):  
Feng Jiang ◽  
Jian Feng Li ◽  
Jie Sun ◽  
Song Zhang
Keyword(s):  
Surface Roughness ◽  
White Light ◽  
End Milling ◽  
Cutting Parameters ◽  
Dry Cutting ◽  
Machined Surface ◽  
White Light Interferometer ◽  
3D Profile ◽  
Optimization Of Cutting Parameters ◽  
Lubrication Conditions

Surface roughness is an important item to evaluate the surface quality. Many researches focused on the optimization of cutting parameters in the specified cooling/lubrication conditions. But the effect of different cooling/lubrication conditions was still less considered. Aimed at this problem, the effect of cutting parameters on the average surface roughness (Ra) in the different cooling/lubrication conditions, including MQL, wet, dry cutting, was analyzed in this study. Orthogonal arrays were applied in the design of the experiments and Ti6Al4V end-milling experiments were performed on the DAEWOO machining center. The white light interferometer was used to obtain the 3D profile of machined surface and calculate the Ra values. The regression analysis and statistical analysis of variance were employed in the process of the experimental data. The relationships between Ra and cutting parameters in the different cooling/lubrication conditions were obtained and the optimum values of the cutting parameters in the range of the experiments were selected.

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