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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Isfahan University of Technology</PublisherName>
				<JournalTitle>Journal of Computational Methods in Engineering</JournalTitle>
				<Issn>2228-7698</Issn>
				<Volume>23</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>12</Month>
					<Day>31</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Estimation of Open-End Cotton Yarn Strenght from Fiber Physical Characteristics</ArticleTitle>
<VernacularTitle>Estimation of Open-End Cotton Yarn Strenght from Fiber Physical Characteristics</VernacularTitle>
			<FirstPage>203</FirstPage>
			<LastPage>209</LastPage>
			<ELocationID EIdType="pii">2866</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName></FirstName>
					<LastName>S. A. Hosseini</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName></FirstName>
					<LastName>G. Afkhami</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName></FirstName>
					<LastName>A. Tabibi And A. Sadeghi</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2022</Year>
					<Month>12</Month>
					<Day>31</Day>
				</PubDate>
			</History>
		<Abstract>Physical properties of cotton yarns are affected by the characteristics of cotton fibers such as fineness, length, maturity and strength. This relationship has been worked out by means of multivariable regression and stepwise method for an open-end spun (NeC 20) cotton yarn. Moreover, with the help of linear programming, it was made possible to determine the percentage of different cottons in the blend with the aim of reducing the yarn price to a minimum while keeping the yarn quality to a certain level.</Abstract>
			<OtherAbstract Language="FA">Physical properties of cotton yarns are affected by the characteristics of cotton fibers such as fineness, length, maturity and strength. This relationship has been worked out by means of multivariable regression and stepwise method for an open-end spun (NeC 20) cotton yarn. Moreover, with the help of linear programming, it was made possible to determine the percentage of different cottons in the blend with the aim of reducing the yarn price to a minimum while keeping the yarn quality to a certain level.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Physical Properties</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">fineness</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Maturity</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Linear Programming</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">open-end Spinning</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jcme.iut.ac.ir/article_2866_801fd8c2a4e79c1d24a40dc735c051ae.pdf</ArchiveCopySource>
</Article>
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