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-dimension...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.展开更多
文摘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.
