Determination of Radiative Heat Transfer Coefficient at High Temperatures Using a Combined Experimental-Computational Technique

Abstract

The radiative heat transfer coefficient at high temperatures is determined using a combination of experimental measurement and computational modeling. In the experimental part, cement mortar specimen is heated in a laboratory furnace to 600°C and the temperature field inside is recorded using built-in K-type thermocouples connected to a data logger. The measured temperatures are then used as input parameters in the three dimensional computational modeling whose objective is to find the best correlation between the measured and calculated data via four free parameters, namely the thermal conductivity of the specimen, effective thermal conductivity of thermal insulation, and heat transfer coefficients at normal and high temperatures. The optimization procedure which is performed using the genetic algorithms provides the value of the high-temperature radiative heat transfer coefficient of 3.64 W/(m 2 K).

Uncertainty Analysis of Computational-Experimental Approach for Determination of Equivalent Thermal Conductivity of Highly Perforated Bricks

“…It describes the methods and principles for evaluation of standard uncertainties of types A and B, combined uncertainty and expanded uncertainty in measurements. However, several modern approaches in materials engineering combine experimental measurements with computational modelling [2], therefore simple application of GUM is not sufficient. As an example, determination of equivalent thermal conductivity of highly perforated bricks using guarded hot plate method provided with computational modelling can be stated [3].…”