Welcome to the Amira-Avizo Software Use Case Gallery
Below you will find a collection of use cases of our 3D data visualization and analysis software. These use cases include scientific publications, articles, papers, posters, presentations or even videos that show how is used to address various scientific and industrial research topics.
Use the Domain selector to filter by main application area, and use the Search box to enter keywords related to specific topics you are interested in.
The high strength at moderate weight in combination with superior corrosion and fatigue properties makes carbon-fiber-reinforced polymer (CFRP) an attractive material for lightweight applications in aerospace. Nonetheless, besides several benefits, CFRP components also bear significant risks like a low resistance to impact damage. […] In this work, we present a multimodal approach to three-dimensionally quantify and visualize fiber orientation and resin-rich areas in carbon-fiber-reinf... Read more
Jonathan Glinz, Jan Šleichrt, Daniel Kytýř, Santhosh Ayalur-Karunakaran, Simon Zabler, Johann Kastner & Sascha Senck
For organic-inorganic composite materials, the spatial dispersion of inorganic fillers in the organic matrix is of great significance for designing and manufacturing high-performance composite materials. To improve the understanding of the micro-physical mechanism of the filler-reinforced polymer matrix, we studied the relationship between filler network structure and macro-mechanical properties of silicone rubber by using fluorescent labeling technology and three-dimensional (3D) visualizati... Read more
Shangjun Zeng, Ming Kang, Kexu Chen, Rong Sun, Ai Lu, Guanjun Changa
During the fabrication of braided carbon fiber composite materials, process variations occur which affect the fiber architecture.
Quantitative measurements of local and global fiber architecture variations are needed to determine the potential effect of process variations on mechanical properties of the cured composite. Although non-destructive inspection via X-ray CT imaging is a promising approach, difficulties in quantitative analysis of the data arise due to the similar densities o... Read more
Daniel J. Rhoads, Sandi G. Miller, Gary D. Roberts, Richard W. Rauser, Dmitry Golovaty, J. Patrick Wilber, Malena I. Español