1. Date of download: 10/24/2017
Copyright © ASME. All rights reserved.
From: A New Thermophysical Property Estimation Approach Based on Calibration Equations and Rescaling Principle
J. Thermal Sci. Eng. Appl. 2016;8(2): doi: /
Figure Legend:
System setup for the one-dimensional heat conduction problem showing boundary conditions and the probe position

2. Date of download: 10/24/2017
Copyright © ASME. All rights reserved.
From: A New Thermophysical Property Estimation Approach Based on Calibration Equations and Rescaling Principle
J. Thermal Sci. Eng. Appl. 2016;8(2): doi: /
Figure Legend:
Time-varying input surface heat flux applied to the front surface of stainless steel and representative carbon composite

3. Date of download: 10/24/2017
Copyright © ASME. All rights reserved.
From: A New Thermophysical Property Estimation Approach Based on Calibration Equations and Rescaling Principle
J. Thermal Sci. Eng. Appl. 2016;8(2): doi: /
Figure Legend:
The temperature histories at uniformly distributed spatial locations for stainless steel with the slab thickness L=5 mm

4. Date of download: 10/24/2017
Copyright © ASME. All rights reserved.
From: A New Thermophysical Property Estimation Approach Based on Calibration Equations and Rescaling Principle
J. Thermal Sci. Eng. Appl. 2016;8(2): doi: /
Figure Legend:
The temperature histories at uniformly distributed spatial locations for carbon composite with the slab thickness L=5 mm

5. Date of download: 10/24/2017
Copyright © ASME. All rights reserved.
From: A New Thermophysical Property Estimation Approach Based on Calibration Equations and Rescaling Principle
J. Thermal Sci. Eng. Appl. 2016;8(2): doi: /
Figure Legend:
An example for the optimal thermal diffusivity selection: the optimal thermal diffusivity corresponds to the minimum value of residual function RN,T

6. Date of download: 10/24/2017
Copyright © ASME. All rights reserved.
From: A New Thermophysical Property Estimation Approach Based on Calibration Equations and Rescaling Principle
J. Thermal Sci. Eng. Appl. 2016;8(2): doi: /
Figure Legend:
Predicted thermal diffusivity for stainless steel corresponding to different probe positions and slab thicknesses

7. Date of download: 10/24/2017
Copyright © ASME. All rights reserved.
From: A New Thermophysical Property Estimation Approach Based on Calibration Equations and Rescaling Principle
J. Thermal Sci. Eng. Appl. 2016;8(2): doi: /
Figure Legend:
Predicted thermal diffusivity for carbon composite corresponding to different probe positions and slab thicknesses

8. Date of download: 10/24/2017
Copyright © ASME. All rights reserved.
From: A New Thermophysical Property Estimation Approach Based on Calibration Equations and Rescaling Principle
J. Thermal Sci. Eng. Appl. 2016;8(2): doi: /
Figure Legend:
Predicted thermal conductivity for stainless steel corresponding to different probe positions and slab thicknesses

9. Date of download: 10/24/2017
Copyright © ASME. All rights reserved.
From: A New Thermophysical Property Estimation Approach Based on Calibration Equations and Rescaling Principle
J. Thermal Sci. Eng. Appl. 2016;8(2): doi: /
Figure Legend:
Predicted thermal conductivity for carbon composite corresponding to different probe positions and slab thicknesses

10. Date of download: 10/24/2017
Copyright © ASME. All rights reserved.
From: A New Thermophysical Property Estimation Approach Based on Calibration Equations and Rescaling Principle
J. Thermal Sci. Eng. Appl. 2016;8(2): doi: /
Figure Legend:
An example of the simulated noise added to the noiseless temperature with mean of 0 °C and standard deviation of 0.5 °C

11. Date of download: 10/24/2017
Copyright © ASME. All rights reserved.
From: A New Thermophysical Property Estimation Approach Based on Calibration Equations and Rescaling Principle
J. Thermal Sci. Eng. Appl. 2016;8(2): doi: /
Figure Legend:
The noisy temperature data T(0,t) and T(b,t) of stainless steel for the experiment with initial temperature 0 °C

12. Date of download: 10/24/2017
Copyright © ASME. All rights reserved.
From: A New Thermophysical Property Estimation Approach Based on Calibration Equations and Rescaling Principle
J. Thermal Sci. Eng. Appl. 2016;8(2): doi: /
Figure Legend:
Predicted thermal diffusivity for stainless steel based on noisy data

13. Date of download: 10/24/2017
Copyright © ASME. All rights reserved.
From: A New Thermophysical Property Estimation Approach Based on Calibration Equations and Rescaling Principle
J. Thermal Sci. Eng. Appl. 2016;8(2): doi: /
Figure Legend:
Predicted thermal diffusivity for carbon composite based on noisy data

14. Date of download: 10/24/2017
Copyright © ASME. All rights reserved.
From: A New Thermophysical Property Estimation Approach Based on Calibration Equations and Rescaling Principle
J. Thermal Sci. Eng. Appl. 2016;8(2): doi: /
Figure Legend:
Predicted thermal conductivity for stainless steel based on noisy data

15. Date of download: 10/24/2017
Copyright © ASME. All rights reserved.
From: A New Thermophysical Property Estimation Approach Based on Calibration Equations and Rescaling Principle
J. Thermal Sci. Eng. Appl. 2016;8(2): doi: /
Figure Legend:
Predicted thermal conductivity for carbon composite based on noisy data