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Characterization and quantification ...

Gunay, Melih.

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Characterization and quantification of woven fabric irregularities using two-dimensional anisotropy measures.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Characterization and quantification of woven fabric irregularities using two-dimensional anisotropy measures./
作者:	Gunay, Melih.
面頁冊數:	152 p.
附註:	Advisers: Warren J. Jasper; Moon W. Suh.
Contained By:	Dissertation Abstracts International67-08B.
標題:	Textile Technology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3232691
ISBN:	9780542854835

Characterization and quantification of woven fabric irregularities using two-dimensional anisotropy measures.
Gunay, Melih.

Characterization and quantification of woven fabric irregularities using two-dimensional anisotropy measures. - 152 p.

Advisers: Warren J. Jasper; Moon W. Suh.

Thesis (Ph.D.)--North Carolina State University, 2005.

It is a well known fact that the quality of a fabric is tied to the non-uniformity of fabric properties. Although methods have been suggested to measure certain physical properties of woven or knit fabrics (mass, handle, strength, comfort, permeability), there has been no single method that is industrially accepted to characterize and quantify distribution of some of these fabric properties or non-uniformities. Therefore, the purpose of this research was to investigate and suggest a new method to fill this need. During this research, data about fabric properties were obtained either directly from images of fabric appearances or indirectly from on-line measurements of yarn diameters. The yarn diameters captured through a line-scan camera were mapped into a 2-D fabric matrix by assigning each point of the yarn to a specific location (x, y) within the 2-D fabric matrix. The gray-scale image of a 2-D fabric matrix was called a virtual fabric and provided the basic information on the uniformity of the fabric property. Variance-area curves were developed to characterize and quantify non-uniformity of actual and virtual fabrics in two dimensions. Certain irregularity features such as vertical and horizontal streaks and random cloudiness produced variance-area curves that are dependent on the shape of the unit area. Thus the difference between these curves became a new way to measure isotropy features of fabric properties. Theoretical relationships between yarns and their virtual fabrics were derived using only the internal correlation information of the given underlying yarns.

ISBN: 9780542854835Subjects--Topical Terms:

1020710
Textile Technology.

Characterization and quantification of woven fabric irregularities using two-dimensional anisotropy measures.
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500 $a Source: Dissertation Abstracts International, Volume: 67-08, Section: B, page: 4691.
502 $a Thesis (Ph.D.)--North Carolina State University, 2005.
520 $a It is a well known fact that the quality of a fabric is tied to the non-uniformity of fabric properties. Although methods have been suggested to measure certain physical properties of woven or knit fabrics (mass, handle, strength, comfort, permeability), there has been no single method that is industrially accepted to characterize and quantify distribution of some of these fabric properties or non-uniformities. Therefore, the purpose of this research was to investigate and suggest a new method to fill this need. During this research, data about fabric properties were obtained either directly from images of fabric appearances or indirectly from on-line measurements of yarn diameters. The yarn diameters captured through a line-scan camera were mapped into a 2-D fabric matrix by assigning each point of the yarn to a specific location (x, y) within the 2-D fabric matrix. The gray-scale image of a 2-D fabric matrix was called a virtual fabric and provided the basic information on the uniformity of the fabric property. Variance-area curves were developed to characterize and quantify non-uniformity of actual and virtual fabrics in two dimensions. Certain irregularity features such as vertical and horizontal streaks and random cloudiness produced variance-area curves that are dependent on the shape of the unit area. Thus the difference between these curves became a new way to measure isotropy features of fabric properties. Theoretical relationships between yarns and their virtual fabrics were derived using only the internal correlation information of the given underlying yarns.
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