Relationship between drafting force and morphological structure of fiber bundles during the combing process
Source abstract
Abstract
Drafting force during the combing process exhibits periodic variations and considerably affects fiber bundle morphology and unevenness ( CV m ) of combed sliver. To address the inefficiency and limited accuracy of conventional methods for evaluating the morphological unevenness of fiber bundles ( U F ), an online device was developed to measure drafting force during combing process. Meanwhile, unevenness of periodic drafting forces ( U T ) was proposed to evaluate periodic fluctuations in drafting forces. This study investigated the influence of lap weight on drafting force, fiber bundle mass, and the quality of combed slivers, and evaluated the accuracy of U T in representing U F . The results showed a good linear relationship between drafting force and fiber bundle mass, with both demonstrating unimodal trends during drafting. Increases in lap weight resulted in higher drafting force and fiber bundle mass, with maximum values observed at the 24th division. Further, U T and U F exhibited a good linear relationship, indicating that U T effectively reflects the periodic fluctuations in fiber bundle morphology. As lap weight increases, U T , U F , and CV m of combed slivers decrease and later increase. Using the JSFA2186 comber and based on the combing process utilized in this study, the optimal lap weight for long-staple cotton was found to be 75 g/m, which yielded the lowest U T (4.53%), U F (4.25%), and CV m of combed sliver (6.28%). For medium-staple cotton, a lap weight of 81 g/m yielded the lowest values (4.66%, 4.52%, and 6.76%, respectively). This study establishes a theoretical foundation for developing auto-leveling devices and advancing the development of smart combing machines.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Textile materials and evaluations · Material Properties and Processing · Mechanical Behavior of Composites
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Jiangnan University
Zhongyuan University of Technology
Funding
Postgraduate Research & Practice Innovation Program of Jiangsu Province
References (27)
Show source-provided references
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