Open Access

ARTICLE

Numerical and Experimental Investigation of Filament-End Dynamics in Negative-Pressure Pneumatic Transport

Yisheng Liu^*, Xufeng Sun, Zhifeng Chen

School of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, 928 No. 2 Street, Qiantang District, Hangzhou, China

* Corresponding Author: Yisheng Liu. Email:

(This article belongs to the Special Issue: Model-Based Approaches in Fluid Mechanics: From Theory to industrial Applications)

Fluid Dynamics & Materials Processing 2026, 22(3), 12 https://doi.org/10.32604/fdmp.2026.077267

Received 05 December 2025; Accepted 12 March 2026; Issue published 31 March 2026

Abstract

This study addresses the optimization of automated yarn handling in textile manufacturing by examining the related suction process through a combined numerical and experimental approach. In particular, a three-dimensional model of the suction nozzle was coupled with an equivalent linear-elastic beam representation of the yarn, and a Fluent–IDW–Abaqus weakly coupled fluid–structure interaction (FSI) framework was employed to capture the yarn’s release and dynamic response under negative-pressure suction. High-speed imaging experiments validated the simulations, demonstrating excellent agreement in displacements and velocities. According to the results, increasing the initial suction pressure from −0.04 MPa to −0.06 MPa reduces adsorption time by approximately 62% and markedly dampens yarn-end vibrations, enhancing suction performance. Pressures beyond −0.06 MPa, however, induce overshoot and nozzle collisions, increasing the risk of entanglement and mechanical damage. The outcomes of a statistical analysis are also presented to further quantify the interplay among energy consumption, suction efficiency, and operational success under varying pressures, thereby providing a rigorous foundation for the optimal selection of pressure parameters in automated yarn-handling systems.

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