Modelling and simulation of the hydrodynamic properties of protection and filter fabrics under consideration of service loads to predict their barrier and permeability properties

许多应用需要联合收割机结合限定的渗透性和保持性的技术纺织品。单丝或复丝织造织物与非织造织物和膜相比具有优势。它们可以传递很大的力，因此除了屏障功能外，它们还具有支撑功能。这些要求部分地在相反的方向上，使得过滤介质的选择是一个高度复杂的问题，其中必须考虑应用需求和过滤器的特性的平衡。该研究项目的目的是在工作负荷下对防护和过滤织物的渗透性和阻隔性进行现实模拟，以得出一般规律，并有目的地开发具有特定性能的机织物。追求以下科学目标： 织物形态和织物特性的表征，用于检测机器参数、工艺参数和织物结构以及织物特性之间的基本关系， 建立基于人工神经网络的通用模型，以预测织物形态和流体力学（渗透性、颗粒保留）作为机器和工艺参数的函数， 在考虑面内工作载荷的情况下，理解织物在微观、中观和宏观层面的多尺度形态变化，并开发一种方法，用于在静态和循环载荷期间和之后，在单向和双向应力状态（拉伸和剪切）下原位检测孔隙几何形状， 应力下微观尺度（纱线中的孔隙）和中尺度（纱线之间的孔隙）孔隙几何形状变化的数值建模、模拟和验证， 在无应力和有应力织物的微观和细观结构中使用CFD方法对多相流体动力学特性（渗透性、颗粒截留率）进行建模和模拟， 一方面，制定机器和工艺参数与材料参数、织物形态和孔隙形态（例如，织物的孔隙形态）所产生的使用性能之间关系的规律。例如，在一个实施例中，在研究项目结束时，应该可以根据模拟结果开发纺织过滤材料，而且工作量要小得多。此外，经过验证的模型和建立的模拟工具应有助于更深入地了解具有不同功能要求的织物中复杂保持机制的基础知识。

Many applications require technical textiles that combine defined permeability and retention properties. Mono- or multifilament woven fabrics have advantages compared to nonwovens and membranes. They can transfer large forces so that they overtake a supporting function in addition to their barrier function. These requirements are partly in the opposite direction so that the selection of a filter medium is a highly complex problem, in which the application needs and the characteristics of the filter must be considered balanced. The aim of the research project is the realistic simulation of the permeability and barrier properties of protective and filter fabrics under service loads to derive general laws and to purposefully develop woven fabrics with specific properties. The following scientific objectives are pursued:- Characterization of the fabric morphology and fabric characteristics for detecting the fundamental relationships between the machine parameters, the process parameters and the fabric construction as well as the fabric properties,- Establishment of a general model based on an artificial neural network to predict the fabric morphology and hydrodynamics (permeability, particle retention) as a function of the machine and process parameters,- Understanding of the multi-scale morphology changes of the fabrics at the micro, meso and macro level under consideration of in-plane service loads and development of a methodology for the in-situ detection of the pore geometry in uni- and biaxial stress states (tension and shear) during and after static and cyclic loading,- Numerical modeling, simulation and validation of the pore geometry changes at the micro scale (pores in the yarn) and meso scale (pores between the yarns) under stresses,- Modeling and simulation of multiphase hydrodynamic properties (permeability, particle retention) using CFD method in micro- and meso-structure for unstressed and stressed fabrics,- Formulation of laws for the connection between the machine and process parameters on the one hand and the material parameters, the resulting fabric morphology and the service properties resulting from the pore morphology (e. g., permeability, retention and filtration) on the other hand.At the end of the research project, it should be possible to develop textile filter materials based on simulations with significantly less effort. In addition, the validated models and the established simulation tools should contribute to a deeper understanding of the basics of complex retention mechanisms in fabrics with different functional requirements.