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This study used a two part process to create a system that would predict the thermal conductivity of insulated building materials containing plant materials. A finite-discrete element method was used to predict the thermal conductivity of a packed bed of sunflower pith, while a discrete element method was used to predict how aggregates would fill a volume element. These were used to predict the thermal conductivity of the heterogeneous volume. ...
The effects of solid phase thermal conductivity, pore thermal conductivity, and pore volume fraction on the measured effective thermal conductivity of porous ceramics with pore volume fractions of 4 to 95% were investigated. The experimental results were then compared with pre-existing numerical models. It was found that the Maxwell-Eucken relation for closed porosity and the Landauer relation for open porosity were able to closely predict the effective thermal conductivity for tin oxide, ...
In this study, the insulating properties of building materials made out of recycled plant particles were tested with both the laser flash method and the Transient Plane Source (TPS) method. The tests were conducted with aggregates of sunflower pith with particle sizes 1, 1.5, and 2.5 mm, to see how the thermal conductivity behaves with increasing air volume fraction between grains. The TPS method produced values with an increasing trend for thermal conductivity ...
Very porous ceramics were prepared by the direct foaming method containing 79% kaolinite , based on commercial clay. Ceramics were prepared with different pore volume fractions, and the different ceramics were analyzed using the transient plane source (TPS) technique to measure thermal conductivity. Increasing pore volume fraction led to decreased thermal conductivity....
