基于图像模拟和支持向量机的复合非织造布孔隙尺寸预测  被引量:1

Prediction of pore dimension in composite nonwovens based on image simulation and support vector machine

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作  者:金关秀[1] 祝成炎[2] JIN Guanxiu;ZHU Chengyan(Zhejiang Industry Polytechnic College,Shaoxing,Zhejiang 312000,China;College of Textile Science and Engineering(International Silk Institute),Zhejiang Sci-Tech University,Hangzhou,Zhejiang 310018,China)

机构地区:[1]浙江工业职业技术学院,浙江绍兴312000 [2]浙江理工大学纺织科学与工程学院(国际丝绸学院),浙江杭州310018

出  处:《纺织学报》2022年第12期75-81,共7页Journal of Textile Research

摘  要:为探究非织造布复合前后孔隙尺寸的变化规律,以纤维根数、纤维平均直径、纤维直径变异系数为变量生成数字图像(复合单元)对非织造纤维网进行模拟,并采用将2个复合单元叠加的手法来模拟复合后的非织造纤维网。用2个复合单元的孔径差异百分比(E r)和孔径变异系数的平均值(M V)表征复合前孔隙尺寸;孔径复合指数(I P)和孔径变异系数复合指数(I V)用于表征复合后孔隙尺寸。结果显示非织造布复合前后的孔隙尺寸呈复杂的非线性关系。将E r和M V作为支持向量机模型的输入分别对I P和I V进行预测,其绝对百分比误差分别为1.84%和1.92%,误差很小。验证实验的结果进一步印证支持向量机模型具有很高的预测准确度。In order to study the influence of nonwoven compounding on pore dimension in composite nonwovens between before and after compounded,the nonwoven webs was modeled based on the use of digital images taking into considerations of fiber number,the average fiber diameter and the variation coefficient of fiber diameter served as the model variables.Thus the image model of composite nonwoven was then obtained by superimposing two compound elements.The pore size percentage difference(E r)and the average pore size variation coefficient(M v)of two compound elements were used to characterize the pore dimension of nonwoven before compounded.Furthermore,the pore size composite index(I P)and pore size variation coefficient composite index(I V)were used to characterize the pore dimension after compounding.The test results show that there is a complex non-linear relationship on pore dimension between before and after compounding.E r and M v were used as the inputs of support vector machine model to predict I P and I V,respectively.The results indicate that the mean absolute percentage errors of the above two predictions are only 1.84%and 1.92%,respectively.The verification experiment result further confirms the high prediction accuracy of the support vector machine model.

关 键 词:复合非织造布 孔径 孔径变异系数 数字图像模拟 支持向量机 

分 类 号:TS171[轻工技术与工程—纺织材料与纺织品设计]

 

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