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

Feng Jiang; Jian Feng Li; Jie Sun; Song Zhang; Lan Yan

doi:10.4028/www.scientific.net/KEM.431-432.233

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HomeKey Engineering MaterialsKey Engineering Materials Vols. 431-432Optimization of Cutting Parameters for Surface...

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

Abstract:

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.

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Periodical:

Key Engineering Materials (Volumes 431-432)

Pages:

233-236

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.431-432.233

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Online since:

March 2010

Authors:

Feng Jiang, Jian Feng Li, Jie Sun, Song Zhang, Lan Yan

Keywords:

Material Removal Rate (MRR), Minimal Quantity Lubrication (MQL), Quadratic Fit Model, Surface Roughness (SR), White Light Interferometer

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