Browsing by Author "North, Mike F."
Now showing items 1-4 of 4
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Effective thermal conductivity prediction of foods using composition and temperature data
(Elsevier, 2016)Thermal conductivity data are important for food process modelling and design. Where reliable thermal conductivity data are not available, they need to be predicted. The most accurate ‘first approximation’ methodology for ... -
A knotted and interconnected skeleton structural model for predicting Young’s modulus of binary phase polymer blends
(WIley InterScience, 2010)A knotted and interconnected skeleton structural (KISS) model is proposed for predicting Young's modulus of polymer blends. The KISS model accounts for the structure variations of polymer blends using the percolation theory ... -
A new structural model of effective thermal conductivity for heterogeneous materials with co-continuous phases
(Elsevier, 2008)A new structural model for a heterogeneous material with multiple continuous phases is proposed. The corresponding equation for effective thermal conductivity was derived using three methods. The new model is substantially ... -
A symmetric and interconnected skeleton structural (SISS) model for predicting thermal and electrical conductivity and Young’s modulus of porous foams
(Elsevier, 2008)A symmetric and interconnected skeleton structural (SISS) model is proposed for predicting the thermal and electrical conductivities and Young’s modulus of open-cell foams with hollow and solid struts. The model predicted ...
