{"title":"基于径向基函数神经元的绿色技术在皱褶棉织物整理工艺研究中的应用。(实验与建模分析)","authors":"M. S. Hesarian, J. Tavoosi","doi":"10.22104/AET.2019.3730.1183","DOIUrl":null,"url":null,"abstract":"The wrinkling of cotton fabric is an important factor that affects a garment's appearance. This paper evaluated the use of a non-toxic green anti-wrinkle material in the finishing process to address this issue. For this purpose, the chemical structure of the wrinkled cotton sample was evaluated and treated with a scouring and anti-creasing finishing material. Due to the environmental issues created by the toxic material used as finishes, the type of anti-wrinkle material used in this study had the least possible environmental impact. The mechanism of this anti-crease finishing was based on the crosslinking of cellulose molecular chains. This process limited the chain movements made by wrinkling. Accordingly, the effect of the mentioned mechanism and structural parameters such as the thickness, weight, density of the weft yarn, and linear density of the weft yarn (Ne) were evaluated. The wrinkle degree of the samples was analyzed by using a radial basis function neural network (RBFN). This RBFN modeled the relationships between the degree of wrinkling in the fabrics and the mentioned parameters, especially the anti-crease finishing of the samples. The simulation results confirmed the effectiveness of the proposed method.","PeriodicalId":7295,"journal":{"name":"Advances in environmental science and technology","volume":"42 1","pages":"35-45"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Green Technology used in Finishing Process Study of the Wrinkled Cotton Fabric by Radial Basis Function neurons. (Experimental and Modeling analysis)\",\"authors\":\"M. S. Hesarian, J. Tavoosi\",\"doi\":\"10.22104/AET.2019.3730.1183\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The wrinkling of cotton fabric is an important factor that affects a garment's appearance. This paper evaluated the use of a non-toxic green anti-wrinkle material in the finishing process to address this issue. For this purpose, the chemical structure of the wrinkled cotton sample was evaluated and treated with a scouring and anti-creasing finishing material. Due to the environmental issues created by the toxic material used as finishes, the type of anti-wrinkle material used in this study had the least possible environmental impact. The mechanism of this anti-crease finishing was based on the crosslinking of cellulose molecular chains. This process limited the chain movements made by wrinkling. Accordingly, the effect of the mentioned mechanism and structural parameters such as the thickness, weight, density of the weft yarn, and linear density of the weft yarn (Ne) were evaluated. The wrinkle degree of the samples was analyzed by using a radial basis function neural network (RBFN). This RBFN modeled the relationships between the degree of wrinkling in the fabrics and the mentioned parameters, especially the anti-crease finishing of the samples. The simulation results confirmed the effectiveness of the proposed method.\",\"PeriodicalId\":7295,\"journal\":{\"name\":\"Advances in environmental science and technology\",\"volume\":\"42 1\",\"pages\":\"35-45\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in environmental science and technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22104/AET.2019.3730.1183\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in environmental science and technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22104/AET.2019.3730.1183","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Green Technology used in Finishing Process Study of the Wrinkled Cotton Fabric by Radial Basis Function neurons. (Experimental and Modeling analysis)
The wrinkling of cotton fabric is an important factor that affects a garment's appearance. This paper evaluated the use of a non-toxic green anti-wrinkle material in the finishing process to address this issue. For this purpose, the chemical structure of the wrinkled cotton sample was evaluated and treated with a scouring and anti-creasing finishing material. Due to the environmental issues created by the toxic material used as finishes, the type of anti-wrinkle material used in this study had the least possible environmental impact. The mechanism of this anti-crease finishing was based on the crosslinking of cellulose molecular chains. This process limited the chain movements made by wrinkling. Accordingly, the effect of the mentioned mechanism and structural parameters such as the thickness, weight, density of the weft yarn, and linear density of the weft yarn (Ne) were evaluated. The wrinkle degree of the samples was analyzed by using a radial basis function neural network (RBFN). This RBFN modeled the relationships between the degree of wrinkling in the fabrics and the mentioned parameters, especially the anti-crease finishing of the samples. The simulation results confirmed the effectiveness of the proposed method.