Determination of the intrinsic temperature dependent thermal conductivity from analysis of surface temperature of laser irradiated materials

2010 ◽  
Vol 96 (7) ◽  
pp. 071110 ◽  
Author(s):  
Selim Elhadj ◽  
Manyalibo J. Matthews ◽  
Steven T. Yang ◽  
Diane J. Cooke ◽  
James S. Stolken ◽  
...  
Keyword(s):  
Thermal Conductivity ◽  
Surface Temperature ◽  
Temperature Dependent ◽  
Temperature Dependent Thermal Conductivity

Efficiency Determination of Radiators with Temperature-Dependent Thermal Conductivity Using Two He's Methods

2009 ◽  
Vol 40 (4) ◽  
pp. 333-349 ◽  
Author(s):  
Z. Z. Ganji ◽  
Davood Ganji (D.D. Ganji) ◽  
Abdolhosein Fereidoon ◽  
Yasser Rostamiyan
Keyword(s):  
Thermal Conductivity ◽  
Temperature Dependent ◽  
Efficiency Determination ◽  
Temperature Dependent Thermal Conductivity

scholarly journals Dynamic Thermal Properties Estimation Using Sensitivity Coefficients for Rapid Heating Process

Foods ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 1954
Author(s):  
Anbuhkani Muniandy ◽  
Patnarin Benyathiar ◽  
Dharmendra K. Mishra ◽  
Ferhan Ozadali
Keyword(s):  
Thermal Conductivity ◽  
Rapid Heating ◽  
Sensitivity Coefficient ◽  
Heating Process ◽  
Temperature Dependent ◽  
Dynamic Experiments ◽  
Temperature Heating ◽  
Temperature Dependent Thermal Conductivity ◽  
Model Temperature

Thermal conductivity determination of food at temperatures >100 °C still remains a challenge. The objective of this study was to determine the temperature-dependent thermal conductivity of food using rapid heating (TPCell). The experiments were designed based on scaled sensitivity coefficient (SSC), and the estimated thermal conductivity of potato puree was compared between the constant temperature heating at 121.10 °C (R12B10T1) and the rapid heating (R22B10T1). Temperature-dependent thermal conductivity models along with a constant conductivity were used for estimation. R22B10T1 experiment using the k model provided reliable measurements as compared to R12B10T1 with thermal conductivity values from 0.463 ± 0.011 W m−1 K−1 to 0.450 ± 0.016 W m−1 K−1 for 25–140 °C and root mean squares error (RMSE) of 1.441. In the R12B10T1 experiment, the analysis showed the correlation of residuals, which made the estimation less reliable. The thermal conductivity values were in the range of 0.444 ± 0.012 W m−1 K−1 to 0.510 ± 0.034 W m−1 K−1 for 20–120 °C estimated using the k model. Temperature-dependent models (linear and k models) provided a better estimate than the single parameter thermal conductivity determination with low RMSE for both types of experiments. SSC can provide insight in designing dynamic experiments for the determination of thermal conductivity coefficient.

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