2011 Annual Report
1a.Objectives (from AD-416)
The objective of the research is to study fundamental issues on the relationship between the cotton length distribution of the original sample and the length distribution measured from a cotton fiber beard. A component of the objective is to study the feasibility of including a new length parameter characterizing short fibers in the cotton classification system. The results from this research will facilitate the acceptance of High Volume Instrument (HVI) as the base of a universal cotton classification system, which will benefit the global trading and consumption of cotton.
1b.Approach (from AD-416)
1. Constructing fibrograms of the projecting portions of the beards as used in High Volume Instrument (HVI).
First, we will obtain signals for constructing fibrograms of beards as those used in HVI length test. This can be done by collecting raw signals either from HVI or from a scanner. We are developing a method for obtaining fibrograms by using image processing techniques to analyze images of fiber beards from a scanner. Then the length distributions (pdf) of the beard (projecting portion) will be calculated from the fibrograms. These fibrograms and length distributions can be compared to those of the projecting portion obtained from Advanced Fiber Information System (AFIS) tests. The potential differences between the projecting portions fibrograms obtained from these two devices will be identified and analyzed.
2. Calculating the length distribution of the original fibers.
We will convert the distributions of the scanned projecting portions of the beards to compute the entire length distributions of the original fibers. These original length distributions are obtained from AFIS tests. The conversion can be achieved by implementing the relationship between the distributions (pdf) of HVI beards and those of the original fibers we developed in earlier stages, such as the application of PLS regression algorithm.
After deriving the entire length distributions of original fibers from scanning the beards, we then will verify our results by comparing them to AFIS measured fiber length distributions of the original fibers. Based on the verification we will make proper adjustments to our algorithms and models. For this purpose, we are carrying out a larger set of HVI and AFIS tests. AFIS data have been used as references in this study.
As a result, we can provide the industry a method that enables the HVI to obtain the entire length distributions of the original cotton fibers. Implementation of our results includes providing the industry algorithms and equations for computing fiber length distributions and length parameters such as Lower Half Mean Length and Short Fiber Content.
The research on obtaining fiber length distribution from the rapid fiber beard testing method made substantial new progress. A new method was developed to acquire optical signals from fiber beard measurements by use of a DAQ (data acquisition) system. The signals are used to construct the staple diagrams of fibers projecting from the fiber clamp in testing. The staple diagram model is applied to compute the staple diagram of the original beards from these projecting staple diagrams. A model has been developed to calculate the original sample’s entire length distribution for the above mentioned staple diagram, and therefore various length parameters can be calculated. Expanded tests on more cotton samples are being conducted to refine the experimental methods and models.
Regression models are being developed with a comprehensive set of fiber length parameters and other quality parameters, as well as their combinations to improve the accuracy of predicting various properties of yarns made from different spinning systems.
The methods used to monitor activities for this agreement were annual reports, technical visits/e-mails/interactions, presentations at scientific and industry meetings, and publications.