Browse > Article
http://dx.doi.org/10.7734/COSEIK.2012.25.4.315

A Study on the Sequential Multiscale Homogenization Method to Predict the Thermal Conductivity of Polymer Nanocomposites with Kapitza Thermal Resistance  

Shin, Hyunseong (서울대학교 기계항공공학부)
Yang, Seunghwa (서울대학교 기계항공공학부)
Yu, Suyoung (서울대학교 기계항공공학부)
Chang, Seongmin (서울대학교 기계항공공학부)
Cho, Maenghyo (서울대학교 기계항공공학부)
Publication Information
Journal of the Computational Structural Engineering Institute of Korea / v.25, no.4, 2012 , pp. 315-321 More about this Journal
Abstract
In this study, a sequential multiscale homogenization method to characterize the effective thermal conductivity of nano particulate polymer nanocomposites is proposed through a molecular dynamics(MD) simulations and a finite element-based homogenization method. The thermal conductivity of the nanocomposites embedding different-sized nanoparticles at a fixed volume fraction of 5.8% are obtained from MD simulations. Due to the Kapitza thermal resistance, the thermal conductivity of the nanocomposites decreases as the size of the embedded nanoparticle decreases. In order to describe the nanoparticle size effect using the homogenization method with accuracy, the Kapitza interface in which the temperature discontinuity condition appears and the effective interphase zone formed by highly densified matrix polymer are modeled as independent phases that constitutes the nanocomposites microstructure, thus, the overall nanocomposites domain is modeled as a four-phase structure consists of the nanoparticle, Kapitza interface, effective interphase, and polymer matrix. The thermal conductivity of the effective interphase is inversely predicted from the thermal conductivity of the nanocomposites through the multiscale homogenization method, then, exponentially fitted to a function of the particle radius. Using the multiscale homogenization method, the thermal conductivities of the nanocomposites at various particle radii and volume fractions are obtained, and parametric studies are conducted to examine the effect of the effective interphase on the overall thermal conductivity of the nanocomposites.
Keywords
sequential multiscale homogenization method; kapitza thermal resistance; effective interphase; size effect;
Citations & Related Records
연도 인용수 순위
  • Reference
1 양승화, 유수영, 조맹효 (2009) 나노입자의 크기효과와 체적분율 효과를 동시 고려한 나노복합재의 멀티스케일 브리징 해석기법에 관한 연구, 한국전산구조공학회 논문집, 22(4), pp.343-348.
2 Asakuma, Y., Miyauchi, S., Yamamoto, T., Aoki, H., Miura, T. (2004) Homogenization Method for Effective Thermal Conductivity of Metal Hydride bed, International Journal of Hydrogen Energy, 29(2), pp.209-216.   DOI
3 Bathe, K.J. (1982) Finite Element Procedures, Prentice-Hall, NJ, p.1039.
4 Bendsøe, M.P., Kikuchi, N. (1988) Generating Optimal Topologies in Structural Design Using a Homogenization Method, Computer Methods in Applied Mechanics and Engineering, 71, pp.197-224.   DOI   ScienceOn
5 Cho, M., Yang, S., Chang, S., Yu, S. (2011) A Study on the Prediction of the Mechanical Properties of Nanoparticulate Composites Using the Homogenization Method with the Effective Interface Concept, International Journal of Numerical Methods in Engineering, 85, pp.1564-1583.   DOI
6 Dunn, M. L., Taya, M. (1993) The Effective Thermal Conductivity of Composites with Coated Reinforcement and the Application to Imperfect Interfaces, Journal of Applied Physics, 73, pp.1711.   DOI
7 Guedes, J. M., Kikuchi, N. (1990) Preprocessing and Postprocessing for Materials Based on the Homogenization Method with Adaptive Finite Element Methods, Computer Methods in Applied Mechanics and Engineering, 83, pp.143-198.   DOI   ScienceOn
8 Han, Z., Finab, A. (2011) Thermal Conductivity of Carbon Nanotubes and Their Polymer Nanocomposites: A Review, Progress in Polymer Science, 36, pp.914-944.   DOI
9 Jones Jr. WE, Chiguma J, Johnsom E, Pachamuthu A, Santos D. (2010) Electrically and Thermally Conducting Nanocomposites for Electronic Applications, Materials, 3(2), pp.1478- 1496.   DOI
10 Mori, T., Tanaka, K. (1973) Average Stress in Matrix and Average Elastic Energy of Materials with Misfitting Inclusions, Acta Metallurgica, 21(5), pp.571-574.   DOI   ScienceOn
11 Yang, S., Cho, M. (2008) Scale Bridging Method to Characterize Mechanical Properties of Nanoparticle/ Polymer Nanocomposites, Applied Physics Letter, 93, 043111.   DOI   ScienceOn
12 Yang, S., Yu. S., Cho, M. (2010) Sequential Thermoelastic Multiscale Analysis of Nanoparticulate Composites, Journal of Applied Physics, 108, 056102.   DOI
13 Yang, S., Yu, S., Kyoung, W., Han, D., Cho. M. (2012) Multiscale Modeling of Size-Dependent Elastic Properties of Carbon Nanotube/Polymer Nanocomposites with Interfacial Imperfections, Polymer, 53(2), pp.623-633.   DOI
14 Yu, S., Yang, S., Cho, M. (2009) Multi-scale Modeling of Cross-Linked Epoxy Nanocomposites, Polymer, 50(3), pp.945-952.   DOI   ScienceOn
15 Yu, S., Yang, S., Cho, M. (2011) Multiscale Modeling of Cross-Linked Epoxy Nanocomposites to Characterize the Effect of Particle Size on Thermal Conductivity, Journal of Applied Physics, 110, 124302.   DOI
16 Zeng, Q.H., Yu, A.B., Lu, G.Q. (2008) Multiscale Modeling and Simulation of Polymer Nanocomposites, Progress in Polymer Science, 33, 194.