The proposed fluid-structure interaction (FSI) approach is based on a two-way coupling between finite-element code Abaqus and finite-volume code FlowVision. The FSI simulation is possible due to a unique mesh generation method used in FlowVision. The method is called Sub-Grid Resolution Method (SGRM). The SGRM connects seamlessly FE and CFD meshes without introducing any intermediate structures into the FSI layer. It allows to link different mesh types with different discretization levels and ensures a fully conservative (no data loss) bi-directional data transfer between structure and fluid simulation domains. The approximation accuracy of the governing equations is maintained in both simulation domains and the FSI layer. Sloshing water in a flexible cylindrical tank is simulated to illustrate the described fluid structure interaction approach.

The article presents a numerical simulation of the drop test in a still water for the multi-component box structure. The complexity of the problem is in the strong fluid-structure interaction (FSI) between the box and the water free surface. The numerical simulation of the drop test is performed with two software tools: Abaqus and FlowVision through the direct coupling interface, which manipulates, on the Abaqus side the Lagrangian finite-element mesh and on the FlowVision side the Eulerian finite-volume mesh with subgrid geometry resolution.

FlowVision-HPC combined with Abaqus offers unique capabilities for solving heavily coupled fluid-structure-interaction problems. The implementation is based on the SGGR (Sub-Grid-Geometry-resolution) method used in FlowVision for grid generation. The SGGR method provides natural link between CFD grid and FEA mesh.

Numerical and experimental study of 3D unsteady flow in a lawn mower for prediction of pressure pulsation and noise

The  noise  of  domestic  machines  including  lawnmowers becomes an urgent issue. As the technology matures, designers need better tools to predict performance and efficiency of these machines across a wide range of operating conditions and  find optimal ways to reduce noise. Computational fluid dynamics is an  increasingly powerful  tool which enables designer  to better
understand all features of unsteady flow in  these machines and to  find  optimal  designs  providing  higher  energetic characteristics,  better  cutting  quality  and  lower  pressure pulsation,  vibration  and  noise. ..