Visualization of FEM Results for FRP

Kurzfassung

Aerospace, automotive, marine and many other industries are interested to study the reliability of Fiber Reinforced Composites or Fiber Reinforced Polymers under various load conditions during destructive or non-destructive testings (NDT). The objective is to ensure about the modular safety of the instruments and components. Fiber reinforced composites are made up using matrix or grid formation of differently oriented fiber tracts per block of grid. The composites are lightweight, non-corrosive, with high strength and can be tailored to fulfill various performance requirements. One of the many proportionate adjustments is to setting up optimal combination of number of layers, different fiber orientations per layer and appropriate material type. This combination results to light weight and high strength ensemble. Fiber composites successfully comply these combinations and we explore further application specific aspect via scientific visualization approach. This thesis work includes elementary failure analysis of aerospace rotor blade model using an explorable scientific visualization prototype, TensorVis. The main objective of this research work is to develop a scientific visualization prototype which allows structure designing engineer’s to analyze their simulation results. It integrates novel scientific visualization algorithms to highlight the stresses in the material at the very elementary and discrete level of fiber composition. It also explores fracture type and stress magnitude comparison with respect to Puck’s failure criterion, and spatial location of failure for analysis. With this information the engineers are capable to optimize their finite element (FE) model for a defined case of application. All functionalities required for accurate analysis, are available as mutually exclusive options to apply on different data sets to gain different level of details. Furthermore, a novel stress tensor property preserving binning technique which allows clutter reduction of large amount of data by focusing more on their stress exposure is proposed and integrated. An analytical solution of FRC’s failure merged with discrete finite element model of unidirectional fiber composite materials is prototyped in a compact and interactive visualization tool, TensorVis.