Types of visualizers
The different types of visualizers
Data visualizers enable to visualize the data of a collection. The data visualizers
are organized in 3 groups:
- The generic visualizers display the collection data obtained for the current step on the support. All the collections are compatible. In the particular case of the derived – FFT collection, the continue component is displayed.
- The visualizers dedicated to time forces display force vectors obtained for
the current step on the support. Only the collections dedicated to the force
computations are compatible. The user should specify:
- If the forces have been decomposed in radial and tangential components, the force component to display (Resulting, Normal, Tangential or Axial) must be specified. In this case, only these forces data collections are available for this type of visualizer : Simplified projective method dedicated to rotating machines and the Genralized projective method, otherwise, the forces will be displayed in the global coordinate system.
- The type of forces to display (local forces at nodes or global forces by connected groups of elements)
- The visualizers dedicated to force harmonics display force complex vectors
obtained for a given frequency or a given harmonic on the support. Only the
collections of the derived FFT type and applied to vector collections are
compatible. The user should specify:
- The type of forces to display (local forces to the nodes or global forces by connected groups of elements)
- The harmonic rank to display (0 for the continuous component)
- If the forces have been decomposed in radial and tangential components, the force component to display (Resulting, Normal, Tangential or Axial) must be specified. In this case, only these forces data collections are available for this type of visualizer : Simplified projective method dedicated to rotating machines and the Genralized projective method, otherwise, the forces will be displayed in the global coordinate system.
The data are the displayed as an elementary data cloud, points for scalar data or arrows for vector data, and the color will depend on the current value module.