李甜,马保吉,边建潇,屈锋,程杰.超声铣削对镁合金在模拟体液中腐蚀性能的影响[J].表面技术,2021,50(10):309-321.
LI Tian,MA Bao-ji,BIAN Jian-xiao,QU Feng,CHENG Jie.Effect of Ultrasonic Milling on Corrosion Properties of Magnesium Alloy in Simulated Body Fluid[J].Surface Technology,2021,50(10):309-321 |
| 超声铣削对镁合金在模拟体液中腐蚀性能的影响 |
| Effect of Ultrasonic Milling on Corrosion Properties of Magnesium Alloy in Simulated Body Fluid |
| 投稿时间：2020-11-08 修订日期：2021-01-20 |
| DOI：10.16490/j.cnki.issn.1001-3660.2021.10.032 |
| 中文关键词: 超声铣削 AZ31B CCD RSM 表面粗糙度 腐蚀性能 PBS |
| 英文关键词:ultrasonic milling AZ31B CCD RSM surface roughness corrosion resistance PBS |
| 基金项目:陕西省重点研发计划资助项目(2018GY-120);陕西省特种加工重点实验室开放基金项目(2017SXTZKFJG02);陕西省教育厅重点实验室科研计划项目(17JS056) |
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| Author | Institution |
| LI Tian | Shaanxi Key Laboratory of Non-Traditional Machining, School of Mechatronic Engineering, Xi’an Technological University, Xi’an 710021, China |
| MA Bao-ji | Shaanxi Key Laboratory of Non-Traditional Machining, School of Mechatronic Engineering, Xi’an Technological University, Xi’an 710021, China |
| BIAN Jian-xiao | Shaanxi Key Laboratory of Non-Traditional Machining, School of Mechatronic Engineering, Xi’an Technological University, Xi’an 710021, China |
| QU Feng | Shaanxi Key Laboratory of Non-Traditional Machining, School of Mechatronic Engineering, Xi’an Technological University, Xi’an 710021, China |
| CHENG Jie | Shaanxi Key Laboratory of Non-Traditional Machining, School of Mechatronic Engineering, Xi’an Technological University, Xi’an 710021, China |
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| 中文摘要: |
| 目的 研究超声振动铣削加工参数对镁合金(AZ31B)腐蚀性能的影响规律，降低表面粗糙度，提高耐蚀性。方法 基于响应曲面法(RSM)的中心复合试验(CCD)，对镁合金进行超声铣削试验，并在模拟体液(PBS)中进行电化学腐蚀试验。试验建立了工艺参数(主轴转速 、进给量 、铣削深度 和振幅 )和响应目标(表面粗糙度 、表面硬度 和腐蚀速率 )之间的预测模型，之后对模型进行显著性分析，并探讨了4个因素与3个响应之间的变化规律，确定了最佳工艺参数组合。结果 通过方差分析 、 和 的回归模型，发现其对应的F值分别为11.45、9.20和9.58，均大于2.424，P值均小于0.0001，因此对于 、 和 ，影响最大的因素分别为 、 和 。超声铣削工艺参数对 的影响次序为 ，对 影响最大的因素为 ，对 影响最大的因素为 ，通过分析超声铣削4因素与3响应之间的影响规律，得到不同参数下较为一致的表面粗糙度与腐蚀速率的变化曲线，且随振幅的增大， 值增大。通过验证试验，得到最佳工艺条件下 和 的预测值与试验值的误差均小于5%， 的误差小于15%。结论 、 和 的预测模型精度较高，可作为其相应的预测模型。超声铣削的4个工艺参数中，对 影响最大的因素为 ，对 影响最大的因素为 ，对 影响最大的因素为 。镁合金的腐蚀性能与表面粗糙度的变化规律密切相关，振幅增大导致表面粗糙度增大，加剧了已加工表面的腐蚀。 、 和 的预测值与试验值的一致性较好。 |
| 英文摘要: |
| This paper aims to explore the effect of ultrasonic milling parameters on the surface integrity and corrosion characteristics of AZ31B, and diminish the surface roughness and raise the corrosion resistance of AZ31B. In this paper, the ultrasonic milling experiment of AZ31B was performed based on the CCD of RSM, and the electrochemical corrosion experiment was completed in PBS. After establishing the prediction model between process parameters (spindle speed, feed rate, milling depth and amplitude) and response targets (surface roughness, surface hardness and corrosion rate), then significance analysis was in progress and the relationships between four factors and three responses was discussed. Next, the influence of ultrasonic milling parameters on the , and corrosion characteristics of AZ31B was analyzed. Finally, the prediction model of response objective was optimized, furthermore, the optimum matches of factors was determined and verified by experiment. The results can be listed as follows:According to the regression model of , and , not only the F values were 11.45, 9.20 and 9.58 separately, which are greater than 2.424, but also all of these parameters’ P values were smaller than 0.0001. And for , and , the factors’ minimum of P values were , and respectively. By analyzing the influence of four factors and three responses in ultrasonic milling, the variation curves of surface roughness and corrosion rate under different parameters were obtained, besides values increases with the rise of amplitude. The greatest parameter’s matches were tested by trial, which showed that the error between the predicted output and the measured of roughness and hardness were smaller than 5% and was below 15%. The main conclusions:the model of , and has high accuracy, and can be used as the corresponding prediction model; the four parameters of ultrasonic milling have the greatest influence on , and for , and respectively. The corrosion characteristics and surface roughness of AZ31B have the closely relationship, in addition, the increase of amplitude leads to the increase of surface roughness and aggravates the corrosion of machined surface. The predicted values of , and are in good agreement with the experimental values. |
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