Export file:


  • RIS(for EndNote,Reference Manager,ProCite)
  • BibTex
  • Text


  • Citation Only
  • Citation and Abstract

Utilization of linearization methods for measuring of thermal properties of materials

1 Department of Automation and Computer Science in Metallurgy, Faculty of Metallurgy and Materials Engineering, University of Ostrava, 17. Listopadu 15, Ostrava Poruba, 70833, Czech Republic
2 Center for Basic and Applied Research, Faculty of Informatics and Management, University of Hradec Kralove, Rokitanskeho 62, Hradec Kralove, 50003, Czech Republic
3 Faculty of Computing, Universiti Teknologi Malaysia and UTM-RDA Center of Excellence, UTM Johor Bahru, 81310 Johor, Malaysia

Special Issues: Oligomerization of amyloid beta and tau in Alzheimer’s disease

The aim of the article is to describe the convective cooling of the measured samples and the subsequent processing of the measured to determine the material parameters of the solids in order to develop specialized software. In engineering practice, specifically in the field of materials research, it is necessary to measure the thermal properties of the materials under study. For a variety of materials, which may constitute the substitute for metals, such as steel, alloy, and others, including polymers and composites—especially for the newly developed materials, the table values of these parameters are not available. However, they are important to establish the thermal insulation properties of these materials, for further use in relevant industries. The time constant that determines the rate of cooling of the preheated sample is the basis for determining the additional thermal and technical parameters of the material. Based on the knowledge of the specific heat capacity, after specifying the range of the thermal diffusivity and thermal conductivity of the material, these parameters can be estimated. In order to estimate the coefficients, the non-linear parameter estimation methods can be used, which lead to the iterative calculations. A good candidate for these calculations is the MATLAB program, especially its CurveFitting toolbox. The price of Matlab SW, including CurveFitting Toolbox, is relatively high in terms of using the solution for this purpose. This resulted in the designing of new methods for CurveFitting described in this paper and implemented in the developed program named CurveFit.
  Article Metrics

Keywords thermal properties; time constant; determination; linearization methods

Citation: Ivo Spicka, Ondrej Krejcar, Robert Frischer, Pavol Kostial, Ali Selamat, Zora Jancikova, Kamil Kuca. Utilization of linearization methods for measuring of thermal properties of materials. AIMS Biophysics, 2018, 5(4): 257-271. doi: 10.3934/biophy.2018.4.257


  • 1. Idicula M, Boudenne A, Umadevi L, et al. (2006) Thermophysical properties of natural fibre reinforced polyester composites. Compos Sci Techno 66: 2719–2725.    
  • 2. Boudenne A, Ibos L, Fois M, et al (2004) Thermophysical properties of polypropylene/aluminum composites. J Polym Sci Pol Phys 42: 722–732.
  • 3. Luo R, Liu T, Li J, et al (2004) Thermophysical properties of carbon/carbon composites and physical mechanism of thermal expansion and thermal conductivity. Carbon 42: 2887–2895.    
  • 4. Mandelis A (1991) Progress in Photothermal and Photoacoustic Science and Technology, New York: Elsevier, 207–284.
  • 5. Parker WJ, Jenkins RJ, Butler CP, et al (1961) Method of determining thermal diffusivity, heat capacity and thermal conductivity. J Appl Phys 32: 1679–1684.    
  • 6. Akoshima M, Baba T (2005) Thermal diffusivity measurements of candidate reference materials by the laser flash method. Int J Thermophys 26: 151–163.    
  • 7. Gaal PS, Thermitus MA, Stroe DE (2004) Thermal conductivity measurements using the flash method. J Therm Anal Calorim 78: 185–189.    
  • 8. Knappe S, Blumm J (2004) From light flash to heat transfer of polymers, NETZSCH-Gerätebau GmbH.
  • 9. Kostial P, Kopal I, Mokrysova M, et al (2005) Contact-less measurements of thermal parameters in low conductive dielectric materials, International Conference Polymeric Materials in Automotive.
  • 10. Ezzahri Y, Dilhaire S, Grauby S, et al (2005) Study of thermomechanical properties of Si/SiGe superlattices using femtosecond transient thermoreflectance technique. Appl Phys Lett 87: 1–3.
  • 11. Lau S, Almond D, Patel P (1991) Transient thermal wave techniques for the evaluation of surface coatings. J Phys D Appl Phys 24: 428.    
  • 12. Malinaric S (2004) Contribution to the extended dynamic plane source method. Int J Thermophys 25: 1913–1919.    
  • 13. Naziev YM, Naziev DY, Gasanov VG (2004) Determination of the effect of variability of the thermal properties of materials when measuring thermal conductivity using steady-state thermal methods. Meas Tech 47: 73–77.    
  • 14. Lipaev AA, Chugunov VA, Lipaev SA, et al (2012) The determination of the thermal properties of unconsolidated materials. Meas Tech 55: 309–315.    
  • 15. Alifanov OM, Budnik SA, Mikhaylov VV, et al (2007) An experimental-computational system for materials thermal properties determination and its application for spacecraft structures testing. Acta Astronaut 61: 341–351.    
  • 16. Kravvaritis ED, Antonopoulos KA, Tzivanidis C (2011) Experimental determination of the effective thermal capacity function and other thermal properties for various phase change materials using the thermal delay method. Appl Energ 88: 4459–4469.    
  • 17. Bodzenta J, Kazmierczak-Bałata A, Mazur J (2010) Photothermal methods for determination of thermal properties of bulk materials and thin films. Cent Eur J Phys 8: 207–220.
  • 18. Agroui K, Collins G (2014) Determination of thermal properties of crosslinked EVA encapsulant material in outdoor exposure by TSC and DSC methods. Renew Energ 63: 741–746.    
  • 19. Parker WJ (1961) Flash method of determining thermal diffusivity, heat capacity, and thermal conductivity. J Appl Phys 32: 1679–1684.    
  • 20. Carslaw HS (1986) Conduction of heat in solids, 2 Eds., Oxford: Oxford University Press.


Reader Comments

your name: *   your email: *  

© 2018 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution Licese (http://creativecommons.org/licenses/by/4.0)

Download full text in PDF

Export Citation

Copyright © AIMS Press All Rights Reserved