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超聲銑削鈦合金材料表面粗糙度研究
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國防基礎(chǔ)預(yù)研資助項目和中航產(chǎn)學(xué)研創(chuàng)新基金資助項目(CXY2010SH29)


Surface Roughness of Titanium Alloy under Ultrasonic Vibration Milling
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    摘要:

    在傳統(tǒng)銑削基礎(chǔ)上賦予銑刀超聲扭振,研究加工參數(shù)(振幅、銑削速度、進給量)對銑刀側(cè)刃加工表面質(zhì)量的影響。進行了扭振銑削試驗,得到了單變量加工參數(shù)對銑削表面質(zhì)量的影響,并應(yīng)用方差分析和響應(yīng)曲面分析研究了加工參數(shù)各因素及交互因素對表面粗糙度影響的顯著性,優(yōu)化了加工參數(shù),建立了粗糙度預(yù)測模型。研究表明,施加的超聲扭振可明顯降低表面粗糙度;超聲扭振銑削加工時對表面粗糙度影響重要程度依次為振幅、銑削速度、進給量;采用大振幅和低銑削速度更利于降低表面粗糙度。

    Abstract:

    The effects of processing parameters (amplitude, milling speed, feed per tooth) on surface quality machined by side blades in ultrasonic torsional vibration milling (UTVM) were investigated. Based on a series of UTVM experiments, the influence of single-variable processing parameter on surface quality of milled surfaces was obtained. Furthermore, the significance of these effects of each factor and interactive factors of processing parameters on surface roughness was studied by variance analysis and response surface methodology. Processing parameters were optimized and prediction model of surface roughness was established. The experimental results show that applied ultrasonic torsional vibration can obviously reduce surface roughness of milled surfaces, and the amplitude is the most significant factor of affecting surface roughness in UTVM, while the milling speed and feed per tooth are the second and the third, respecitively. Large amplitude and low milling speed are more likely to improve the roughness of the milled surfaces.

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王明海,李世永,鄭耀輝.超聲銑削鈦合金材料表面粗糙度研究[J].農(nóng)業(yè)機械學(xué)報,2014,45(6):341-346,340. Wang Minghai, Li Shiyong, Zheng Yaohui. Surface Roughness of Titanium Alloy under Ultrasonic Vibration Milling[J]. Transactions of the Chinese Society for Agricultural Machinery,2014,45(6):341-346,340.

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  • 收稿日期:2013-07-20
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  • 在線發(fā)布日期: 2014-06-10
  • 出版日期: 2014-06-10