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

许多应用需要技术纺织品结合定义的渗透性和保持性能。与非织造布和膜相比，单丝或多丝机织物具有优势。它们可以传递很大的力，使它们超越屏障功能之外的支持功能。这些要求部分是相反的，因此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特性的平衡。研究项目的目的是对防护和过滤织物在使用载荷作用下的透气性和阻隔性进行真实模拟，得出一般规律，并有针对性地开发具有特定性能的机织物。科学目标如下：-表征织物形态和织物特性，以检测机器参数，工艺参数与织物结构以及织物性能之间的基本关系；-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（渗透率）；颗粒保留)作为机器和工艺参数的函数，-在考虑平面内服务载荷的情况下，了解织物在微观，中观和宏观层面上的多尺度形态变化，并开发了一种方法，用于在静态和循环加载期间和之后的单轴和双轴应力状态（拉伸和剪切）下的孔隙几何形状的原位检测，-数值模拟，模拟和验证应力作用下微尺度（纱线中的孔隙）和细观尺度（纱线之间的孔隙）的孔隙几何变化，-利用CFD方法对无应力和有应力织物的细观和细观结构进行多相流体力学性能（渗透率、颗粒保留率）的建模和模拟，-制定机器和工艺参数与材料参数之间的联系规律；另一方面，所得到的织物形态和由孔隙形态产生的使用性能（例如，渗透性、保留性和过滤性）。在研究项目结束时，应该有可能以更少的努力开发基于模拟的纺织过滤材料。此外，经过验证的模型和建立的仿真工具应该有助于更深入地了解具有不同功能需求的织物中复杂保留机制的基础。

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.