Statistics Group

Project: Oho

Volume rendering of a reconstructed tomographic image of the microstructure of a wood fiber-based insulation board. Gray: column-shaped sample whose height corresponds to the board thickness, three volume images stacked. Yellow: more detailed visualization of the volume image of the sample center. (Source: Fraunhofer ITWM)
Volume rendering of a reconstructed tomographic image of the microstructure of a wood fiber-based insulation board. Gray: column-shaped sample whose height corresponds to the board thickness, three volume images stacked. Yellow: more detailed visualization of the volume image of the sample center. (Source: Fraunhofer ITWM)

Wood and other cellulose fiber insulating materials are the most commonly used insulating materials made from renewable ressources. The goal of the research project is to optimize the structure of highly porous wood fiber insulation boards. To this end, we combine machine learning methods, image based geometric structure modeling and numerical methods for the efficient simulation of heat transfer with optimization methods.

This project is supported by the Federal Ministry of Education and Research.

You will find more information about this and other projects of the Statistics Group on our research-website.

Volume rendering of a reconstructed tomographic image of the microstructure of a wood fiber-based insulation board. Gray: column-shaped sample whose height corresponds to the board thickness, three volume images stacked. Yellow: more detailed visualization of the volume image of the sample center. (Source: Fraunhofer ITWM)
Volume rendering of a reconstructed tomographic image of the microstructure of a wood fiber-based insulation board. Gray: column-shaped sample whose height corresponds to the board thickness, three volume images stacked. Yellow: more detailed visualization of the volume image of the sample center. (Source: Fraunhofer ITWM)