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Indian Journal of Fibre & Textile Research (IJFTR) >
IJFTR Vol.35 [2010] >
IJFTR Vol.35(2) [June 2010] >
| Title: | Development of predictive model for setting stitch length value of single jersey cotton fabrics |
| Authors: | Badal, M
Unmar, R
Rosunee, S |
| Keywords: | Cotton
Knitting
Regression analysis
Single jersey
Stitch length |
| Issue Date: | Jun-2010 |
| Publisher: | CSIR |
| Abstract: | A statistical approach has been used to predict the stitch length of single
jersey fabrics from known yarn counts and fabric area densities in the grey
reference state. The model has been based on the observational data from two
hundred and sixty samples of tubular weft-knitted single jersey cotton fabrics
produced under bulk conditions in a knitting plant. The multiple regression
analysis technique is used to develop the predictive equation. Validation of
the model by follow up on knitted samples reveals that the predicted stitch
length value from the equation is acceptably close to the real value. The
statistical model can therefore be used to eliminate the need for trial and
error methods in the development stage of single jersey fabrics. |
| Page(s): | 172-173 |
| ISSN: | 0975-1025 (Online); 0971-0426 (Print) |
| Source: | IJFTR Vol.35(2) [June 2010]
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