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):021013-021013-10. doi:10.1115/1.4032179 Figure Legend: System setup for the one-dimensional heat conduction problem showing boundary conditions and the probe position

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):021013-021013-10. doi:10.1115/1.4032179 Figure Legend: Time-varying input surface heat flux applied to the front surface of stainless steel and representative carbon composite

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):021013-021013-10. doi:10.1115/1.4032179 Figure Legend: The temperature histories at uniformly distributed spatial locations for stainless steel with the slab thickness L=5 mm

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):021013-021013-10. doi:10.1115/1.4032179 Figure Legend: The temperature histories at uniformly distributed spatial locations for carbon composite with the slab thickness L=5 mm

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):021013-021013-10. doi:10.1115/1.4032179 Figure Legend: An example for the optimal thermal diffusivity selection: the optimal thermal diffusivity corresponds to the minimum value of residual function RN,T

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):021013-021013-10. doi:10.1115/1.4032179 Figure Legend: Predicted thermal diffusivity for stainless steel corresponding to different probe positions and slab thicknesses

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):021013-021013-10. doi:10.1115/1.4032179 Figure Legend: Predicted thermal diffusivity for carbon composite corresponding to different probe positions and slab thicknesses

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):021013-021013-10. doi:10.1115/1.4032179 Figure Legend: Predicted thermal conductivity for stainless steel corresponding to different probe positions and slab thicknesses

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):021013-021013-10. doi:10.1115/1.4032179 Figure Legend: Predicted thermal conductivity for carbon composite corresponding to different probe positions and slab thicknesses

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):021013-021013-10. doi:10.1115/1.4032179 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

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):021013-021013-10. doi:10.1115/1.4032179 Figure Legend: The noisy temperature data T(0,t) and T(b,t) of stainless steel for the experiment with initial temperature 0 °C

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):021013-021013-10. doi:10.1115/1.4032179 Figure Legend: Predicted thermal diffusivity for stainless steel based on noisy data

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):021013-021013-10. doi:10.1115/1.4032179 Figure Legend: Predicted thermal diffusivity for carbon composite based on noisy data

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):021013-021013-10. doi:10.1115/1.4032179 Figure Legend: Predicted thermal conductivity for stainless steel based on noisy data

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):021013-021013-10. doi:10.1115/1.4032179 Figure Legend: Predicted thermal conductivity for carbon composite based on noisy data