Prediction of Fabric Hand by Neural Network: Prediction of Hand from Structures of Woven Fabrics

Fujita, Hiroyuki; Furutani, Minoru; Komurasaki, Kazuhiko; Matsuoka, Takashi; Sakaguchi, Kei

doi:10.4188/transjtmsj.56.4_t13

Cited by 2 publications

(2 citation statements)

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“…Many works about materials and fabrics with various finishing treatments have been reported, such as the effect of home laundering on mechanical properties and fabric handle [4], the effect of repeated wearing [5], the effect of finishing stages [12], the effect of skin stimulation [15], and the characterization of fabrics by mechanical properties and fabric handle [3,11]. The effect of the structure of a textile weave on fabric handle was investigated recently using a neural network [1], but the work was limited and not sufficiently investigated.…”

Section: Minoru Furutanimentioning

confidence: 99%

“…Therefore, we redefined the crossing-over firmness factor as follows: . (1) The plain weave structure is shown in Figure 1. The crossing-over line number is counted as 1 when the interlacing point changes, for example, the warp yarn changes from over to under the weft yarn, or vice versa in the warp direction.…”

Section: Definition Of the Parameters For Weave Structure Crossing-over Firmness Factor (Cff)mentioning

confidence: 99%

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Predicting Mechanical Properties and Hand Values from the Parameters of Weave Structures

Morino

Matsudaira

Furutani

2005

Textile Research Journal

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In this study, mechanical properties and hand values are predicted from the parameters of weave structures. To promote the design of woven fabrics, we can define the crossing-over firmness factor (CFF) and the floating yarn factor (FYF) as the parameters of the weave structures for predicting mechanical properties and hand values. Both the CFF and FYF are related to some mechanical parameters and primary hand. Multiple regression equations of mechanical parameters and hand values are derived from those parameters of weave structures, and the predicted values almost exactly agree with the measured values from the KES-FB system.

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