摘要
在微流体、自清洁材料、生物材料、食品制药等领域,很多零部件工作表面需要具有特定的润湿性以满足使用要求。材料表面微观形貌对表面润湿性具有重要影响,表面微观形貌包括多方面参数,针对1Cr18Ni9Ti材料,以电化学蚀除法为技术手段,通过大范围内调整加工参数,获得不同表面微观形貌,以表面形貌参数中的轮廓算术平均偏差Ra、微观不平度十点高度Rz、轮廓最大高度Ry反映轮廓高度特征,以轮廓单峰平均间距S、轮廓微观不平度的平均间距Sm反映轮廓宽度特征,以宽高比参数Sm/Ra、Sm/Ry和Sm/Rz反映轮廓形状特征,试验研究经过电化学蚀除形成不同表面微观形貌后的润湿特性,结果表明轮廓算术平均偏差Ra越大、轮廓微观不平度的平均间距Sm越小,宽高比参数Sm/Ra、Sm/Ry和Sm/Rz越小,表面润湿性越好。利用回归分析和BP神经网络对表面接触角进行模拟和预测,结果表明采用回归分析实现表面微观形貌的预设计和采用BP神经网络预测表面形貌特征参数对接触角的影响是可行的。
In biological materials,micro-flow devices,self-cleaning materials,food pharmacy or other fields,working surface of the parts needs to have specific wettability in order to satisfy the service performance.Surface micro-topography has very important influence on surface wettability.Surface micro-topography is evaluated by many aspects of parameters.Workpieces of 1Cr18Ni9Ti is machined by electrochemical method,the different surface topography is obtained by regulating the processing parameters.Ra,Rz and Ry are used to reflect the contour height features,S and Sm are used to reflect contour width features,and Sm/Ra,Sm/Ryand Sm/Rz are used to reflect the shape features of the contour.Surface wettability with different surface topography is obtained by experiment and the results show that the bigger the parameter of Ra,the smaller the parameter of Sm,the smaller the parameter of Sm/Ra,Sm/Ry and Sm/Rz,the better the surface wettability.Regression analysis and BP neural network are used to simulate and predict the surface contact angle,the results show that the preliminary design of micro-topography based on regression analysis and the prediction of the influence of micro-topography parameter on the contact angle is feasible.
引文
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