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<p>In compact spinning, transverse airflow is used to converge fibers and suppress yarn hairiness. However, high energy consumption and low airflow utilization are often observed in conventional negative-pressure designs. In this work, a simulation-guided optimization framework was developed to optimize an air guide for a four-roller compact spinning system. The present study was conducted as an extension of our previous investigations, in which the side-shape configuration of the air guide was selected for low-negative-pressure compact spinning. On this basis, the key geometric parameters of the chosen configuration were further optimized, including side opening width, airflow channel height, and total width. Computational fluid dynamics was applied to analyze the transverse velocity component above the lattice apron. An effective convergence area was defined to quantify airflow guidance performance, and the effects of the above parameters were systematically evaluated. Based on the simulation results, air guides were fabricated by 3D printing and were tested on a four-roller compact spinning system. Single-factor experiments and a two-level full factorial design were carried out for validation and optimization. An optimized air guide was obtained with a length of 28&#xa0;mm and a total width of 12&#xa0;mm, together with a side opening width of 10&#xa0;mm. The guide height was 1.5&#xa0;mm, and the airflow channel height was 0.5&#xa0;mm. Spinning tests revealed an improvement in yarn quality, characterized by reduced hairiness, increased breaking strength, and improved evenness of the yarn. The proposed approach offers a practical means to enhance airflow efficiency in compact spinning.</p>

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Parameter Optimization of the Air Guides for the Lattice-apron Compact Spinning

  • 期刊论文

  • 发表日期：

    2026年3月5日

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  • Kaili Song,
  • Mingrui Guo,
  • Weidong Gao

摘要

In compact spinning, transverse airflow is used to converge fibers and suppress yarn hairiness. However, high energy consumption and low airflow utilization are often observed in conventional negative-pressure designs. In this work, a simulation-guided optimization framework was developed to optimize an air guide for a four-roller compact spinning system. The present study was conducted as an extension of our previous investigations, in which the side-shape configuration of the air guide was selected for low-negative-pressure compact spinning. On this basis, the key geometric parameters of the chosen configuration were further optimized, including side opening width, airflow channel height, and total width. Computational fluid dynamics was applied to analyze the transverse velocity component above the lattice apron. An effective convergence area was defined to quantify airflow guidance performance, and the effects of the above parameters were systematically evaluated. Based on the simulation results, air guides were fabricated by 3D printing and were tested on a four-roller compact spinning system. Single-factor experiments and a two-level full factorial design were carried out for validation and optimization. An optimized air guide was obtained with a length of 28 mm and a total width of 12 mm, together with a side opening width of 10 mm. The guide height was 1.5 mm, and the airflow channel height was 0.5 mm. Spinning tests revealed an improvement in yarn quality, characterized by reduced hairiness, increased breaking strength, and improved evenness of the yarn. The proposed approach offers a practical means to enhance airflow efficiency in compact spinning.