Abstract:

In order to realize the objective evaluation for carding properties of different fibers, its carding was theoretically discussed from the analysis of fiber states in its assenbly, and the relationship with the fiber properties was statistically explored from material characteristics. It is provided that carding performance is an organic combination of the four dimensions, namely, separation, cluster, straightening and card-to fail of fiber. The property data of 20 kinds of fibers were obtained by instrument tests. These main factors were extracted by principal component analysis, and the four-dimension theory was confirmed. The results indicate that the separation factor, card-to-fail factor and straightening factor were positively correlated with carding performance, while the cluster factor was negatively related to carding performance. The computational model of the carding index was established according to the main factor contrebution ratio to realize the level evaluation on carding performance of different fibers. The larger the carding index, the better the carding performance. Moreover, the clasification model of carding performance was proposed, which was in good agreement with carding practice. According to carding difficulty, fibers were divided into five kinds of carding performance from easy to difficult.

Key words: carding performance, evaluation of carding performance, index of carding performance, classification model of carding performance