The effective length is the upper quartile of the fiber length distribution obtained by ignoring short fibers whose length is below half the effective length.
Length parameters of cotton fibers
The most frequent length in a fibrous sample is called staple length. Staple length is one of the most important factors of cotton quality because both fiber fineness and fiber tensile strength are associated with staple length. The longer staples are usually finer and stronger than the shorter staples.
Fiber length measurement
The fiber sorter is an instrument which enables the sample to be fractionalized into length groups. The Baer sorter, the Shirley comb sorter, and the Suter-Webb sorter are the most popular method of the fiber sorter. Basically, the operation involves four main steps:
Preparation of a fringe or tuft with all fibers aligned at one end.
The separation or withdrawal of fibers in order of decreasing length.
The preparation of a sorter diagram by laying the fibers on a black velvet pad in decreasing order of length, the fibers parallel and their lower ends aligned along a horizontal base line as shown in Figure.
The analysis of the sorter diagram.
Fiber Length and Length Distribution
After fineness, length is the most important property of a fiber. The length of cotton is directly related to its spinning performance. Knowledge of fiber length is necessary to manufacture a yarn of specific size on ring spinning system and typically longer fibers are used to manufacture fine yarns. Longer fibers are generally more uniform, finer, and stronger than shorter ones.
Graphical Representation of Mass Variations
Graphical Representation of Mass Variations Graphical representations are aimed at providing easy analysis possibilities as well as providing more complete information than the numerical estimates. The following graphical representations are common with the latest generation evenness testers. Spectrogram 3D Spectrogram Variance Length Curve 3D Variance Length Curve Normal Diagram Cut Length Diagram Histogram Spectrogram The […]
Yarn Evenness II It’s Classification
Yarn Evenness & It’s Classification Evenness, Unevenness, regularity, and irregularity are common terms used to describe the degree of uniformity of a textile product. In the textile field, the uniformity of products like the lap, sliver, roving or yam is expressed in terms of evenness or regularity or in terms of unevenness or irregularity. A […]
Unevenness and Coefficient of Variation of Yarn
Unevenness and Coefficient of Variation of Yarn: The average value for all the deviations from the mean which is expressed as a percentage of the overall mean is called percentage of Mean Deviation (PMD). The coefficient of mass variation CV % is the ratio of standard deviation of mass variation divided by average mass variation.
Index of Irregularity
The ratio between the actual irregularity present in the material and the calculated limit irregularity is called index of irregularity. It is denoted by I. Accordingly the best yarn have a value of I = 1. Thus, the higher value of I indicate that the yarn is more irregular. On the other hand, the CV of the most regular/uniform strand of material in which the fiber ends are laid in a random order in the sliver, roving, or yarn is called limit irregularity.
Introduction to Marketing
Broadly defined, marketing is a social and managerial process by which individuals and organizations obtain what they need and want through creating and exchanging value with others. In a narrower business context, marketing involves building profitable, value laden exchange relationships with customers. Hence, we define marketing as the process by which companies create value for customers and build strong customer relationships in order to capture value from customers in return.
Basic weft Knitting Loops
When the needle is raised sufficiently high by the camming action to obtain the yarn in the hooked portion of the needle and the old loop is below the latch [i.e, the old loop is cleared], a knit stitch will be formed as the needle descends.