Construction and confirmation of regression models of flax fiber line density and diameter

In order to build up a rapid and efficient method to measure the flax fiber line density,the paper employed the conventional cut-middles method and acquired the flax fiber line density(ρL),and used the microscopic image technique and acquired flax fiber diameter(d).The correlation of the fiber line density and fiber diameter were analyzed by statistic software and six regresion models were worked out through fitting.Among them the optimmal regression equation is ρL= 6.29 + 0.004 × d2(correlation line density r = 0.801**),indicating that there is a good correlation between the fiber diameter and fiber fineness of flax fiber.F-test and T-test results showed that there is no significant difference between the conventional cut-middles method and this new method.The experimental results revealed that this method has good precision,repeatability and reproducibility.Therefore,once the fiber diameter is acquired by microscpoic image technique and the data are stored into the host machine,through regression equation calculation,an automatic and fast detection of flax fiber line density simultaneously can be realized.