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Physics based models for metal hydride particle morphology, distribution, and effective thermal conductivity

Published online by Cambridge University Press:  31 January 2011

Kyle Christopher Smith  and
Timothy Fisher
Kyle Christopher Smith
Affiliation:
[email protected], Purdue University, Mechanical Engineering, West Lafayette, Indiana, United States
Timothy Fisher
Affiliation:
[email protected], Purdue University, Mechanical Engineering, West Lafayette, Indiana, United States
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Abstract

This paper describes a modeling approach to target aspects of heat conduction in metal hydride powders that are essential to metal hydrides as viable H2 storage media, including particle morphology distribution, size distribution, particle packing properties at specified solid fraction, and effective thermal conductivity. An isotropic fracture model is presented that replicates features of particle size and shape distributions observed experimentally. The discrete element method is used to simulate evolution of metal hydride particle contact networks during quasi-static consolidation of decrepitated metal hydride powders. Finally, the effective thermal conductivity of such a powder is modeled assuming that contact conductance is the same for each interparticle contact.

Keywords

energy storagepowder processingthermal conductivity
Type
Research Article
Information
MRS Online Proceedings Library (OPL) , Volume 1172: Symposium T – Nanoscale Heat Transport–From Fundamentals to Devices , 2009 , 1172-T09-05
Copyright
Copyright © Materials Research Society 2009

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References

[1] Schlapbach, L. and Zuttel, A., 2001. “Hydrogen-storage materials for mobile applications,” Nature, 414 (6861) pp. 353–358.Google Scholar
[2] Sakai, T., Miyamura, H., Kuriyama, N., Ishikawa, H., and Uehara, I., 1994. “Hydrogen Storage Alloys for Nickel Metal Hydride Battery,” Zeitschrift Fur Physikalische Chemie, 183 pp. 333–346.Google Scholar
[3] Kojima, Y., Kawai, Y., Towata, S., Matsunaga, T., Shinozawa, T., and Kimbara, M., 2006. “Development of metal hydride with high dissociation pressure,” Journal of Alloys and Compounds, 419 (1-2) pp. 256–261.Google Scholar
[4] Manley, M. E., Trouw, F., Teter, D., Hehlen, M. P., Papin, P. A., Thoma, D. J., and Hults, W. L., 2008. “Phonon-confinement entropy and the formation of CeH2.84 nanoplates by fracture,” Physical Review B, 78 (2)Google Scholar
[5] Fukai, Y., “The metal-hydrogen system basic bulk properties,” 2nd ed Berlin: Springer, 2005, pp. 104–113.Google Scholar
[6] Cundall, P. A. and Strack, O. D. L., 1979. “Discrete Numerical-Model for Granular Assemblies,” Geotechnique, 29 (1) pp. 47–65.Google Scholar
[7] Feng, Y. T., Han, K., and Owen, D. R. J., “An energy-based polyhedron-to-polyhedron contact model,” in Third MIT Conference on Computational Fluid and Solid Mechanics, MIT, Cambridge, MA, 2006, pp. 210–214.Google Scholar
[8] Zhao, D. W., Nezami, E. G., Hashash, Y. M. A., and Ghaboussi, J., 2006. “Threedimensional discrete element simulation for granular materials,” Engineering Computations, 23 (7-8) pp. 749–770.Google Scholar
[9] Tsotsas, E. and Martin, H., 1987. “Thermal-Conductivity of Packed-Beds - a Review,” Chemical Engineering and Processing, 22 (1) pp. 19–37.Google Scholar
[10] Smith, K. C., Gilbert, P. D., Polster, C. S., and Fisher, T. S., “Heat conduction in metal hydride nano-particles,” in 2nd Energy Nanotechnology International Conference, Santa Clara, CA, 2007, pp. 61–67.Google Scholar
[11] Solomon, H., Geometric probability. Philadelphia: SIAM, 1978.Google Scholar
[12] Hahne, E. and Kallweit, J., 1998. “Thermal conductivity of metal hydride materials for storage of hydrogen: Experimental investigation,” International Journal of Hydrogen Energy, 23 (2) pp. 107–114.Google Scholar
[13] Smith, K. C. and Fisher, T. S., “Isotropic random fracture model for metal hydride powder,” http://thermalhub.org/resources/339 339. 2009.Google Scholar
[14] Smith, K. C., Fisher, T. S., and Alam, M., “Quasi-static Compaction of Polyhedra by the Discrete Element Method,” in Powders and Grains 2009, Nakagawa, M. and Luding, S., Eds. Golden, CO: American Institute of Physics, 2009.Google Scholar
[15] Donev, A., Torquato, S., and Stillinger, F. H., 2005. “Neighbor list collision-driven molecular dynamics simulation for nonspherical hard particles. I. Algorithmic details,” Journal of Computational Physics, 202 (2) pp. 737–764.Google Scholar
[16] Nezami, E. G., Hashash, Y. M. A., Zhao, D. W., and Ghaboussi, J., 2004. “A fast contact detection algorithm for 3-D discrete element method,” Computers and Geotechnics, 31 (7) pp. 575–587.Google Scholar