Utilizing the Complete Fibrogram for Fiber Quality Evaluation

Technology #d-1445

Questions about this technology? Ask a Technology Manager

Download Printable PDF

Categories
Researchers
Eric Hequet
Plant and Soil Science, Texas Tech University, Lubbock, Texas
External Link (www.depts.ttu.edu)
Brendan Kelly
Managed By
Cameron Smith
Licensing Associate 806-834-6822
Patent Protection

Provisional Patent Application Filed

In the textile industry, there are different types of machines that are able to assess the quality of fibers, with the most common being the high volume instrument (HVI). HVI systems take parallel bundles of fibers and report on the mean length and uniformity index of the bundle. However, there is very little data reported concerning individual fiber metrics of the distribution of fiber lengths. Without these added fiber qualities, the ability to accurately predict yarn quality becomes much harder.  One way around this lack of information is to use a different method of fiber analysis known as Advanced Fiber Information System (AFIS). AFIS is able to provide a more detailed report about individual fiber qualities; however, AFIS testing is costly, takes more time, and is not as widely distributed as HVI.  

Using the existing HVI system, this technology extracts the full fibrogram and its raw data then uses these parameters to determine yarn quality with much higher accuracy than current HVI outputs and AFIS testing.  

Reference Number: D-1445 

Market Applications: 

  • Textiles 

Features, Benefits, & Advantages: 

  • Faster and more inexpensive than AFIS testing
  • Uses existing HVI systems
  • Predicts yarn quality more accurately 

Intellectual Property: 

  • A US provisional patent, serial number 62585206, was filed on 11/13/17. 

Development Stage: The technology has been developed and tested. 

Researchers:

  • Eric Hequet, Plant and Soil Science, Texas Tech University, Lubbock, Texas
  • Brendan Kelly, Plant and Soil Science, Texas Tech University, Lubbock, Texas 

Keywords: Yarn quality, High Volume Instrument, Cotton classification, Advanced Fiber Information System, Textile