透明BOPP薄膜耐磨性能与材料成分关系的实验方法  

Experimental method for analyzing the relationship between wear resistance of transparent BOPP film and material component

作　　者：夏营威[1] 张龙[1] 董浩[2] 荆熠[2] 刘勇[1] 

机构地区：[1]中国科学院安徽光学精密机械研究所,合肥230031 [2]国家烟草质量监督检验中心,郑州450001

出　　处：《仪器仪表学报》2012年第6期1324-1330,共7页Chinese Journal of Scientific Instrument

基　　金：国家烟草专卖局烟草行业标准制修定项目(2010-59);安徽省烟草专卖局科技计划(AHKJ2009-05)资助项目

摘　　要：提出了一种分析薄膜耐磨性能与材料成分关系的实验方法。该方法使用薄膜划痕图像的灰度共生矩阵特征参数表征薄膜的耐磨性能,建立了薄膜的耐磨性能与材料成分之间的关系。采用Retinex图像增强方法消除图像中的薄雾,并对比了该方法与灰度变换法和同态滤波法的图像增强效果;使用灰度共生矩阵分析薄膜划痕的纹理信息,获得共生矩阵的多个特征参数;用多个特征参数表征的薄膜耐磨性作为多元回归的解释变量,以薄膜材料成分作为被解释变量,建立回归模型;分析回归模型得到解释变量和被解释变量之间关系的定量描述。实验中使用以二元共聚KS359为原料的双向拉伸聚丙烯(biaxially oriented polypropylene,BOPP)薄膜加ABS04S弹性体的比例作为被解释变量,分析得到用特征参数表征的薄膜耐磨性能与该被解释变量之间的复相关系数为0.992,表明该方法具有可行性。This paper proposes an experiment method of analyzing the relationship between film wear resistance and material component. The method characterizes film wear resistance from the film image with scratches using the characteristic parameters of gray level co-occurrence matrix（GLCM） , and establishes the relationship between film wear resistance and material component. Firstly, the Retinex image enhancement method is used to get rid of the mist; and the image enhancement effect of the proposed method is compared with those of the grayscale transform method and homeostasis filtering method. Secondly, GLCM is applied to analyze the texture information of the film scratches and calculate the characteristic parameters. Thirdly, the film wear resistance characterized by multi-characteristic parameters is taken as the explanatory variable and the material component of the film is taken as the explained varia- ble, and a multivariate regression model is built. At last, the regression model is analyzed to obtain the quantitative description of the relationship between the explanatory variable and the explained variable. In the experiment, a multivariate regression model was built by taking the ratio of ABS04S elastomer in binary copolymer KS359 biaxially oriented polypropylene（BOPP） film and the film wear resistance as the explained variable and the explanatory variable, respectively. Consequently, we obtained that the multiple correlation coefficient of the film wear resistance and the explained variables is 0. 992, which implies that the method is feasible.

关 键 词：图像增强 灰度共生矩阵 多元回归 耐磨性能 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]