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In this study, a numerical model for simulation of fiber motion in the transport channel of a rotor spinning unit has been developed. A chain represents the fiber consisting of a series of cylindrical rods connected with beads. The fiber model is applied on the turbulent airflow field of the transport channel to present fiber configuration at diffe...
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Citations
... Numerical and computational model techniques have gained much attention in solving a number of classical problems in diverse fields, including textile engineering. [13][14][15][16] Finite element modeling and computer simulation provide cost-effective solutions and accurate representation of physical problems. Consequently, in this research, a finite element model was implemented in ABAQUS software, and a novel algorithm was built to represent the random arrangement of the fiber in the form of a strand. ...
The modeling and simulation of the staple fiber spinning process is still a challenging concept in yarn technology due to the complexity of the process and uncontrollable parameters. This work presents a staple fiber yarn formation model based on the ideal assumptions about the configuration of the fibers and the cross-section of the sliver. The model presented utilizes a novel designed computer algorithm that randomly arranges staple fibers of defined length to simulate the typical arrangement of the fibers in a roving in the form of a fiber strand, which is then simulated in ABAQUS software to undergo the yarn formation stages, and the details are analyzed. The simulation results show the entire process of the twisting of the sliver and calculation of the configurational changes of each fiber in the strands is extracted. According to the model, the stages of the twisting of the sliver into the yarn are captured and presented, and the process of how the sliver converts to the yarn is analyzed in detail. In the real twisting experiment of the sliver, the propagation of the twist and the configurational changes of the fibers in the simulation experiment were verified. The experimental and numerical data are in good agreement and the model presents a precise mechanism for yarn formation. The work can be utilized to classify and understand fiber behavior during yarn processing, which can result in optimizing the staple fiber spinning technology.
Modeling is a diverse concept that comprises different techniques that can be adopted to solve problems using engineering knowledge and principles of physical processes. In textile engineering, different problems can be approached using numerous tools, and choosing the right techniques is a very important step toward solving a problem. There are many modeling classifications, but, in this chapter, more attention is tailored to typical problems in textile engineering. This chapter will explore different modeling methods such as mathematical modeling, numerical modeling, analytical modeling, and case-based reasoning models that employ artificial intelligence to predict future events from current or previous data. This chapter is aimed at abstractively describing different cases in textile engineering that can be solved with these modeling tools.
This is a PhD defence presentation delivered by Nicholus Tayari Akankwasa. It was presented to the defence committee of Donghua University, local and International students. It covers the works done during his PhD on simulation and modelling of airflow field in the dual-feed rotor spinning Unit. Modelling steps, Simulation, experiments and simulation validation.
