TiAlN涂层刀具强流脉冲电子束表面处理工艺多响应值优化研究

发布时间：2018-10-22 13:47

【摘要】：采用响应面设计方法对TiAlN涂层刀具强流脉冲电子束表面后处理工艺进行优化设计,结合回归统计建立硬质合金涂层刀具的表面粗糙度、硬度以及弹性模量数学模型。此外,分别对三个数学模型进行显著性分析,以揭示输入电压、输入电流和脉冲次数对涂层刀具表面粗糙度、硬度及弹性模量的影响。结果表明,强流脉冲电子束轰击过程中的输入电压、输入电流和脉冲次数对涂层刀具的表面粗糙度、硬度以及弹性模量均具有显著影响。通过多响应值进行优化,得到了最佳工艺参数组合。经此工艺条件处理后的TiAlN刀具表面粗糙度为0.17μm、显微硬度为33.39 GPa、弹性模量为660.20 GPa;切削实验结果表明,经处理后的TiAlN涂层刀具后刀面磨损量较未经处理的下降了60%左右。
[Abstract]:A response surface design method was used to optimize the surface treatment process of TiAlN coated cutting tools with intense pulsed electron beam, and a mathematical model of surface roughness, hardness and elastic modulus of cemented carbide coated tools was established based on regression statistics. In addition, three mathematical models were analyzed to reveal the effects of input voltage, input current and pulse number on the surface roughness, hardness and elastic modulus of coated cutting tools. The results show that the input voltage, input current and pulse number have a significant effect on the surface roughness, hardness and elastic modulus of the coated tool during intense pulsed electron beam bombardment. The optimal combination of process parameters is obtained by optimization of multiple response values. The surface roughness of TiAlN tool treated by this process is 0.17 渭 m and the microhardness is 33.39 GPa, elastic modulus is 660.20 GPa;. The experimental results show that the wear rate of the treated TiAlN coated tool is about 60% lower than that of untreated tool.
【作者单位】：沈阳理工大学材料科学与工程学院;富士康科技集团;
【基金】：国家科技重大专项资助项目(2012ZX04003-061)
【分类号】：TG711

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