OHo - Optimization of wood-based insulation material (BMBF)

Wood and other cellulose insulation materials are the most commonly used insulation materials made from renewable raw materials!

Compared to conventional insulation materials such as mineral wool and rigid foams, however, their thermal conductivity is generally higher and therefore their thermal insulation is lower. Potential lies in the anisotropic structure of cellulose fiber systems. In order to exploit this potential, machine learning methods and geometric structure modelling based on image data and numerical methods for the efficient simulation of heat transport, including thermal radiation, are to be combined with optimization methods. For this purpose, a two-scale structural model for wood fibre material will be developed, which makes it possible to apply modern optimization methods and thus ultimately optimize the structure of highly porous wood fibre insulation materials. 

Team:

Prof. Dr. Claudia Totzeck
M.Sc. Mahmoud Khatab

Further project partners:

Fraunhofer-Institut für Techno- und Wirtschaftsmathematik
TU Kaiserslautern
as well as the companies:
STEICO SE
Fagus-GreCon Greten GmbH & Co. KG
MAJA-MÖBELWERK GmbH