Finite-element Analysis of Cotton Serrated Ginning State Based on Three-dimensional Braided Modeling

ABSTRACT

In order to analyze the stress state of the seed cotton in the process of ginning cotton, a theoretical model for cotton, namely three-dimensional braided cotton was developed. The model consists of cotton fiber bundles arranged according to the unit cell structure of a three-dimensional four-directional braided composite material. The fiber bundle has a circular section and the shape of the cross section remains unchanged along the axial direction. Based on this model, the serrated ginning process is simulated using finite-element analysis. By analyzing of the effects of different moisture regain and speed on the serration cotton ginning process, the results show that the simulation results agree with the actual situation and the model has certain applications. Compared to the laminated cotton model, the three-dimensional braided cotton model has been improved obviously. In terms of model structure, the three-dimensional braided cotton model is closer to the actual situation of cotton than the existing laminated cotton model. The whole model in the laminated cotton model is an entity, which is bonded together by multiple layers of single-layer panels at different angles. The three-dimensional braided cotton model takes into account the intertwining of fibers and apces, but does consider the distribution of cottonseed which will be the focus research.

摘要

为了分析轧棉过程中籽棉的应力状态, 建立了棉花三维编织棉的理论模型. 该模型由棉纤维束按三维四向编织复合材料的单元胞结构排列而成. 纤维束具有圆形截面, 截面形状沿轴向保持不变. 基于此模型, 采用有限元分析方法模拟锯齿轧花过程. 通过分析不同回潮率和速度对梳棉机轧棉过程的影响, 仿真结果与实际情况吻合较好, 具有一定的应用前景. 与叠层棉模型相比, 三维编织棉模型有了明显的改进. 在模型结构方面, 三维编织棉模型比现有的叠层棉模型更接近棉花的实际情况. 叠层棉模型中的整体模型是一个实体, 它由多个不同角度的单层板粘合在一起. 三维编织棉模型考虑了纤维与apces的相互缠绕, 但考虑了棉籽的分布, 是今后研究的重点。

KEYWORDS:

• Cotton gin
• finite-element model
• ANSYS
• moisture regain
• laminated cotton model
• three-dimensional braided model

关键词:

• 化学处理
• 吸附剂
• 染料去除
• 椰子椰
• 亚甲基蓝
• 生物量

Supplementary material

Supplemental data for this article can be accessed on the publisher’s website.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [grant number 11762020], the University Research Project of Xinjiang Uygur Autonomous Region [grant number XJEDU2017S009] and the Science and Technology  Project of Quality and Technical Supervision Bureau in Xinjiang Uygur Autonomous Region [grant number 201632  201806].