It is known that more reality (details) in the modeled geometry leads to a higher accuracy of the modelling prediction. The dashed rectangle indicates a defect in the composite specimen. Figure 1: Examples of “idealized” (left) and real (right) composite geometries (a micro-CT image). Real composite materials are subjected to geometrical variability and possible defects introduced by the different phases of the manufacturing process. However, real-life structures are not perfect, which also applies to composites (Figure 1 (right)). Such an approach accepts certain assumptions of, for example, a simplified shape of the yarn cross-section, its constant form along the yarn length or warp/weft yarns alignment.
The geometry generator, WiseTex, produces so-called “idealized” unit cell structures (Figure 1 (left)). The VMC ToolKit has been created in collaboration with several academic partners in the scope of the SIM M3 Program, using NX Open © to interface with key third party solutions such as the “WiseTex” suite for fiber-reinforced composites geometry generation (courtesy of KU Leuven, Belgium) and key methods such as virtual parameter identification schemes required to model composites damage (courtesy of Ghent University, Belgium). Subsequently, a detailed finite element (FE) model is automatically set up in Simcenter 3D and solved to obtain properties that can be homogenized for the entire volume which is representative for the studied composite material. The multi-scale modelling workflow starts with the generation of a representative unit cell of a fiber-reinforced composite (in the size of millimeters). With the VMC ToolKit, the material design process can be completed with fewer tests, and then up-scaled to the component level via homogenization techniques. Recall the blogpost a few weeks ago about the Simcenter 3D Virtual Material Characterization (VMC) ToolKit for materials engineering of lightweight components.
0 kommentar(er)
