Analysis of the modeling methodologies for predicting the strength of air-jet spun yarns

被引：42

作者：

Rajamanickam, R ^{[1
]}

Hansen, SM ^{[1
]}

Jayaraman, S ^{[1
]}

机构：

[1] GEORGIA INST TECHNOL,SCH TEXT & FIBER ENGN,ATLANTA,GA 30332

来源：

TEXTILE RESEARCH JOURNAL | 1997年 / 67卷 / 01期

关键词：

D O I：

10.1177/004051759706700109

中图分类号：

TB3 [工程材料学]; TS1 [纺织工业、染整工业];

学科分类号：

0805 ; 080502 ; 0821 ;

摘要：

The scope, usability, limitations and predictive power of four modeling methodologies are analyzed in this paper: mathematical models, empirical models, computer simulation models, and artificial neural network models. The predictive power of each of the four is estimated by comparing predicted yarn strength with experimentally obtained strengths for yarns spun using different process conditions and material parameters.

引用

页码：39 / 44

页数：6

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