Using this model, a gray-box approach is developed to identify experimentally the thermal transfer coefficients.
The numerical model is used to predict the effects of the most important physical and thermal properties (thermal conductivity, heat transfer coefficient, emissivity, reactor temperature and heat of reaction number) considering cylindrical geometry.
In this study, a simultaneous chemical kinetics and heat transfer model is used to predict the effects of the most important physical and thermal properties (thermal conductivity, heat transfer coefficient, emissivity, reactor temperature and heat of reaction number) of the feedstock on the convective-radiant pyrolysis of biomass fuels for different geometries such as slab, cylinder and sphere.
In the present study, a simultaneous chemical kinetics and heat transfer model is used to predict the effects of the most important thermal and thermodynamic properties (thermal conductivity, heat transfer coefficient, emissivity and heat of reaction number) of the feedstock on the convective-radiant pyrolysis of biomass fuels.
This paper analytically investigates the thermal performance of convective radiative T-shape fin with simultaneous variation of thermal conductivity, heat transfer coefficient and surface emissivity with temperature.
The calculation method of the thermal resistance, heat transfer coefficient and comprehensive performance optimization criterion of the blast furnace stave is illustrated by an example.
The parameters tested are the collector plate emissivity/absorptivity combination, adsorbent packing density, tube spacing, outer tube outside diameter, adsorbent thermal conductivity, heat transfer coefficient at adsorbent/tube interface, and adsorbent tube/collector plate materials combination.
This paper analytically investigates the temperature distribution within convective radiative straight fins with simultaneous variation of thermal conductivity, heat transfer coefficient, surface emissivity and internal heat generation with temperature.
Measurements of thermal conductivity, heat transfer coefficient to the containing wall, and deformation of strongly deformed pebble beds are being performed at the Research Centre of Karlsruhe (FZK) using the test section HECOP.
Computational fluid dynamics (CFD) is applied for predicting the convective heat transfer coefficient, thermal resistance and thermal transmittance for a double glazing unit.
