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  1. Randall M. German Ph.D., M.S., B.S. Chair Professor Director and
  2. Seong Jin Park Ph.D. Associate Research Professor

Published Online: 7 JAN 2008

DOI: 10.1002/9780470370087.ch14

Mathematical Relations in Particulate Materials Processing: Ceramics, Powder Metals, Cermets, Carbides, Hard Materials, and Minerals

Mathematical Relations in Particulate Materials Processing: Ceramics, Powder Metals, Cermets, Carbides, Hard Materials, and Minerals

How to Cite

German, R. M. and Park, S. J. (2008) N, in Mathematical Relations in Particulate Materials Processing: Ceramics, Powder Metals, Cermets, Carbides, Hard Materials, and Minerals, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470370087.ch14

Author Information

  1. Center for Advanced Vehicular Systems at Mississippi State University, Mississippi State, USA

Publication History

  1. Published Online: 7 JAN 2008
  2. Published Print: 27 AUG 2008

ISBN Information

Print ISBN: 9780470173640

Online ISBN: 9780470370087

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Keywords:

  • nanoparticle melting-point depression;
  • nanoparticle agglomeration;
  • neck-size ratio dependence and sintered density

Summary

This chapter contains sections titled:

  • Nabarro–Herring Creep-controlled Pressure-assisted Densification

  • Nanoparticle Agglomeration

  • Nanoparticle Melting-point Depression

  • Nanoscale Particle-agglomerate Spheroidization

  • Nanoscale Particle-size Effect on Surface Energy—See Surface-energy Variation with Droplet Size

  • Neck-curvature Stress

  • Neck Growth Early in Liquid-phase Sintering

  • Neck Growth–induced Shrinkage—See Shrinkage Relation to Neck Size

  • Neck Growth Limited by Grain Growth

  • Neck-growth Model—See Kuczynski Neck-growth Model

  • Necklace Microstructure—See Fragmentation by Liquid Penetration

  • Neck-size Ratio Dependence on Sintered Density

  • Newtonian Cooling Approximation

  • Newtonian Flow

  • Normal Curve—See Gaussian Distribution

  • Nucleation Frequency in Small Particles

  • Nucleation Rate

  • Number of Features—See Complexity

  • Number of Particles in Agglomerates

  • Number of Particles per Unit Weight