Construction of raw cotton spinnability index based on principal component analysis
Source abstract
Abstract
In order to realize the reasonable application of high volume instrument( HVI) indexes in the cotton quality evaluation and provide the guide for the cotton assorting,a comprehensive evaluation method of raw cotton based on principal component analysis was proposed. Firstly,284 kinds of cotton from different areas and different levels were selected to subjected to the HVI detection. principal component analysis was performed on selected 13 indexes to eliminate the redundant information among the indexes. Secondly,the six extracted principal component factors were used for constructing the fiber spinnability index( FSI) to realize the quantitive evaluation of the raw cotton quality. Finally correlation on the FSI and yarn strength is discussed. The results showed that the FSI is higher,the higher yarn strength,and the better performance of the corresponding raw cotton. The comprehensive evaluation method of raw cotton based on principal component analysis achieved the quantitative evaluation of the cotton fiber spinnability,providing a reasonable reference for raw cotton quality management and yarn quality prediction.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Textile materials and evaluations
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References
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