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Optimizing end-milling parameters for surface roughness under different cooling/lubrication conditions

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Abstract

The effect of cutting parameters on average surface roughness (Ra) in the different cooling/lubrication conditions, including minimal quantity lubrication, wet and dry cutting, was analyzed in this study. Orthogonal arrays were applied in the design of experiments, and Ti6Al4V end-milling experiments were performed on the Daewoo machining center. The white light interferometer (Wyko NT9300) was used to obtain the 3D profile of machined surface and calculate Ra values. Then, exponential model and quadratic model were proposed to fit the experimental data of surface roughness, respectively. Exponential fit model was employed to determine the significant cutting parameters on average surface roughness. Quadratic fit model was used to optimize the cutting parameters when cutting tool and material removal rate were given. The optimal average surface roughnesses were estimated according to the quadratic model. Finally, the verification experiments were performed, and the experimental results showed good agreement with the estimated results.

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Authors and Affiliations

  1. School of Mechanical Engineering, Shandong University, 17923 Jingshi Road, Jinan, 250061, People’s Republic of China

    Feng Jiang, Jianfeng Li, Jie Sun & Song Zhang

  2. Department of Precision Instruments and Mechanology, Tsinghua University, Beijing, 100084, People’s Republic of China

    Feng Jiang

  3. College of Mechanical and Vehicle Engineering, Hunan University, Changsha, 410082, People’s Republic of China

    Lan Yan

Authors
  1. Feng Jiang
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  2. Jianfeng Li
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  3. Lan Yan
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  4. Jie Sun
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  5. Song Zhang
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Correspondence to Feng Jiang.

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Jiang, F., Li, J., Yan, L. et al. Optimizing end-milling parameters for surface roughness under different cooling/lubrication conditions. Int J Adv Manuf Technol 51, 841–851 (2010). https://doi.org/10.1007/s00170-010-2680-9

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  • DOI: https://doi.org/10.1007/s00170-010-2680-9

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