Using the HVI Fibrogram to Explain Variation in Yarn Quality

Within sample variation in cotton fiber length impacts processing performance and potential yarn quality. Excessive within sample variation in fiber length can slow processing and contribute to imperfections in the yarn structure. HVI length parameters, Upper Half Mean Length and Uniformity Index, are based on the fibrogram measurement principle. In this experiment, we demonstrate that the fibrogram contains more information than is captured by current HVI length parameters, and this information is useful for explaining the variation in yarn quality. We extracted additional information from the fibrogram, and used this information to explain yarn quality. These results were then compared with the variation in yarn quality explained by the AFIS length distribution by number. Our experiment shows that the fibrogram holds important information that helps explain variation in yarn quality that is not captured by current HVI length measurement protocols. The results also show that the additional length information extracted from the fibrogram is at least as good at explaining variation in yarn quality as the AFIS length distribution by number. This is demonstrated on three sets of samples representing a range of sample types. This approach suggests it should be possible to capture important information about within sample variation in fiber length using the fibrogram.