史丽晨,贾永康,张军锋.车削去除钛合金棒材表面氧化皮工艺参数试验研究[J].表面技术,2021,50(5):372-379.
SHI Li-chen,JIA Yong-kang,ZHANG Jun-feng.Research on Technological Parameters of Removing Oxide Coating from Titanium Alloy Bar Surface by Turning[J].Surface Technology,2021,50(5):372-379 |
| 车削去除钛合金棒材表面氧化皮工艺参数试验研究 |
| Research on Technological Parameters of Removing Oxide Coating from Titanium Alloy Bar Surface by Turning |
| 投稿时间：2020-03-16 修订日期：2020-08-10 |
| DOI：10.16490/j.cnki.issn.1001-3660.2021.05.042 |
| 中文关键词: 钛合金 表面粗糙度 表面氧化皮 车削 工艺参数 可行工艺参数域 |
| 英文关键词:titanium alloy surface roughness surface oxide scale turning process parameters feasible process parameter domain |
| 基金项目:陕西省重点研发计划(2020GY-104);西安市科技创新引导项目(201805033YD11CG17(9)) |
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| 中文摘要: |
| 目的 通过车削去除表面氧化皮，分析车削工艺参数对表面粗糙度的影响规律，确定可行工艺参数组合，使车削去除钛合金棒材表面氧化皮的同时，获得较低的表面粗糙度。方法 基于响应曲面法中心复合设计，采用YG8硬质合金车刀，对表面带有氧化皮的TC4钛合金棒材进行车削试验，建立表面粗糙度预测模型，并进行显著性分析，验证模型的准确性。分析车削工艺参数(包括主轴转速n、进给速度v及切削深度ap)对表面粗糙度的影响规律。对比在处理氧化皮厚度不同的TC4钛合金棒材时，工艺参数对表面粗糙度的影响。结果 表面粗糙度预测模型的误差在1.66%~3.33%，模型准确度较高。主轴转速n、进给速度v及切削深度ap的显著度均小于0.05。在工艺参数交互作用中，v-ap对表面粗糙度的显著度P<0.0004。通过分析车削工艺参数对表面粗糙度的影响规律，确定了可行车削工艺参数域和可行车削工艺参数组合。结论 建立的表面粗糙度预测模型准确度较高，可作为表面粗糙度的预测模型。去除表面氧化皮的车削工艺参数对工艺指标表面粗糙度的影响次序为ap>v>n，在工艺参数交互作用中，v-ap的交互作用对表面粗糙度影响更大。车削工艺参数对表面粗糙度的影响趋势不受表面氧化皮厚度的影响。无心车床在可行车削工艺参数组合的工作条件下，通过车削方式可在完全去除钛合金棒材表面氧化皮的同时，获得较低的表面粗糙度。 |
| 英文摘要: |
| The work aims to research the influence of turning technology parameters on the surface roughness and to determine the appropriate combination of technology parameters, which be beneficial to a lower surface roughness while turning to remove the oxide skin on the surface of titanium alloy bar. Based on the central composite design of response surface method, the turning experiment of titanium alloy bar with oxide coating was carried out by using YG8 cemented carbide turning tool, and the surface roughness prediction model was established, which was verified to be accurate by the significance analysis; the influence of turning process parameters (including spindle speed n, feed speed v and cutting depth ap) on the surface roughness was also analyzed. The influence of process parameters on the surface roughness of titanium alloy bars with different thickness of oxide skin was compared. The error of the surface roughness prediction model of titanium alloy bar’s oxide coating removing is about 1.66%~3.33%, and the accuracy of the model is relatively high. The significance of spindle speed n, feed speed v and cutting depth ap are all less than 0.05. In the interaction of process parameters, the significance of v-ap to surface roughness is P<0.0004. By analyzing the influence of turning process parameters on surface roughness, the feasible turning process parameter range and feasibility are obtained. It is proved that the accuracy of the model is high and it can be used as the surface roughness prediction model of titanium alloy bar’s oxide coating removing. The order of the influence of turning process parameters on the surface roughness is:ap>v>n. In the interaction of process parameters, the interaction of v-ap has the greatest influence on the surface roughness. The influence trend of turning process parameters on surface roughness is not affected by the thickness of oxide skin. Under the working condition of feasible combination of turning process parameters, the oxide coating of titanium alloy bar can be completely removed and the lower surface roughness can be obtained. |
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