Abstract:

To improve prediction accuracy of warp knitting run-in values, run-in values of 38 samples with 5 different weave parameters were measured. Then, experimental results were analyzed by SPSS19 to research the relationship between run-in values and fabric weave parameters. Moreover, a multiple linear regression model for forecasting run-in values were suggested. It is indicated by the result that both of overlap shogging and underlap shogging have significant positive correlation with the run-in values; both of take-up density and machine gauge have negative correlation with run-in values; run-in values are slightly positive affected by total rate of threading; The impact significance of the 5 factors from big to small is in the order of underlap shogging, overlap shogging, take-up density, machine gauge and total rate of threading. Furthermore, a multiple linear regression model was obtained to provide reference for predicting run-in values.

Key words: run-in value, warp knitting, weave parameters, linear regression